Department Of Electrical Engineering
| S.No | Course No | Course Name / Syllabus | Credit | L - T- P - E - O - TH |
|---|---|---|---|---|
| 1 | EE6346 | Advanced CMOS Devices and Technology Review of CMOS scaling. Problems with traditional geometric scaling. Power crisis. Basic quantum mechanics Mobility enhancement techniques. Types and realization of stress elements. Integration challenges Process integration of high k gate dielectrics and metal gates Multi-gate transistors. Ways of realization. Integration challenges High mobility channel materials Layout dependent effects. Test structures used for characterization. Variations and how it can affect scaling. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 2 | BT1020 | Material and Energy Balances Units and dimensions; significant figures; process variables and stoichiometry. System and surrounding; steady and unsteady state; problem solving strategy; choosing a basis; general material balance equation; balances on single and multiple units without reactions; balances on processes involving reactions; recycle; bypass and purge; balances involving cell growth and product formation. First law of thermodynamics; balances on closed and open systems; calculation of enthalpy changes; general energy balance equation; balances on non-reactive and reactive processes; heat of reaction for processes with biomass production; thermodynamics of microbial growth; balances on cell culture. Unsteady state material and energy balances; simultaneous unsteady state balances; solving unsteady state balances | 11 | 3 - 1 - 0 - 1 - 6 - |
| 3 | ID3010 | Sensory, Motor and Language Disorders International Classification of Functioning for Adults, International Classification of Functioning of Children and Youth impact of impairment on learning and development: areas of functioning; role of environment; concept of participation The visual system: Anatomy and physiology, eye disease, visual impairment and impact on learning and development The auditory system: Anatomy and Physiology, hearing Impairment, language intervention (oral and sign language) Motor systems: Anatomy and physiology, locomotor impairments (muscular dystrophy, polio, club foot, Erb’s palsy) Complex sensory motor disorders: Deaf-blindness, cerebral palsy Technology intervention and use of assistive devices | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 4 | ID3020 | Design of Assistive Devices Basic kinematics, degrees of freedom and types of mechanisms Design of mechanisms (4-bar, 6-bar, slider-crank, intermittent motion mechanisms, etc) Determination of forces and torques in mechanisms Selection of materials and basic mechanical components – fasteners, springs, gears, etc Basic op-amp circuits, amplifiers and filters Sensors, motors and actuators Digital electronics, microcontrollers, ADC, sampling Batteries, power management, ratings Laboratory exercises Device design and demonstration | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 5 | EE5131 | Selected Topics in Digital Signal Processing Structures for Discrete-Time Systems: IIR filter structures (direct form, cascade form, parallel form)—FIR filter structures (direct form for linear phase systems, frequency sampling structure)—signal flow graphs—lattice structures for FIR and all-pole IIR systems—state-space representation—introduction to coefficient quantization.Introduction to Fourier Analysis of Signals: Fourier analysis of continuous-time signals using the DFT—stationary and non-stationary signals—spectrogram analysis of non-stationary signals—effect of windowing on the spectrum—properties of the Dirichlet kernel—commonly used data winodws (Bartlett, Hann, Hamming, Blackman, Kaiser, Dolph)—frequency measurement of a single complex sinusoid—two complex exponentials case—chirp Fourier transform—discrete cosine transform (DCT).Cepstrum Analysis and Homomorphic Deconvolution: Definition of the cepstrum—definition of the complex cepstrum—alternative expressions for the complex cepstrum—complex cepstrum of exponential and minimum-phase sequences—relationship between the real cepstrum and the complex cepstrum—computation of the complex cepstrum—phase unwrapping—computation of the complex cepstrum using the logarithmic derivative—minimum-phase realizations for minimum-phase sequences—recursive computation of the complex cepstrum for minimum-phase sequences—computation of the complex cepstrum using polynomial roots—deconvolution using the complex cepstrum—minimum-phase/allpass homomorphic deconvolution—minimum-phase/maximum-phase homomorphic deconvolution—the complex cepstrum of a simple multipath model (computation of the complex cepstrum by z-transform analysis and using the DFT)—homomorphic deconvolution for the multipath model—applications to speech processing.Hilbert Transform: Continuous-time bandpass signal representation—pre-envelope and analytic signal—continuous-time Hilbert transform—complex envelope—in-phase (I) and quadrature signal (Q) representation—block-diagram for generating I and Q components (real-signal and complex-signal versions)—Bedrosian product theorem—Hilbert transform for causal discrete-time sequences—relationship between real and imaginary parts of a sequence whose spectrum is "periodically causal"—relationship between the real and imaginary parts of the spectrum corresponding to a "periodically causal" sequence—discrete-time Hilbert transformer design using Type III and Type IV filters (window-based design method). | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 6 | EE2004 | Digital Signal Processing Review of Signals and Systems: Discrete time complex exponentials and other basic signals—scaling of the independent axis and differences from its continuous-time counterpart—system properties (linearity, time-invariance, memory, causality, BIBO stability)—LTI systems described by linear constant coefficient difference equations (LCCDE)—impulse response and convolution.Discrete-Time Fourier Transform (DTFT): Complex exponentials as eigensignals of LTI systems—DTFT definition—inversion formula—properties—relationship to continuous-time Fourier series (CTFS).Z-Transform: Generalized complex exponentials as eigensignals of LTI systems—z-transform definition—region of convergence (RoC)—properties of RoC—properties of the z-transform—inverse z-transform methods (partial fraction expansion, power series method, contour integral approach)—pole-zero plots—time-domain responses of simple pole-zero plots—RoC implications of causality and stability.Frequency Domain Analysis of LTI Systems: Frequency response of systems with rational transfer function—definitions of magnitude and phase response—geometric method of frequency response evaluation from pole-zero plot—frequency response of single complex zero/pole—frequency response of simple configurations (second order resonator, notch filter, averaging filter, comb filter, allpass systems)—phase response—definition of principal phase—zero-phase response—group delay—phase response of single complex zero/pole—extension to higher order systems—effect of a unit circle zero on the phase response—zero-phase response representation of systems with rational transfer function—minimum phase and allpass systems—constant group delay and its consequences—generalized linear phase—conditions that have to be met for a filter to have generalized linear phase—four types of linear phase FIR filters—on the zero locations of a linear phase FIR filter—constrained zeros at z = 1 and at z = -1 and their implications on choice of filters Type I through Type IV when designing filters—frequency response expressions for Type I through Type IV filters.Sampling: Impulse train sampling—relationship between impulse trained sampled continuous-time signal spectrum and the DTFT of its discrete-time counterpart—scaling of the frequency axis—relationship between true frequency and digital frequency—reconstruction through sinc interpolation—aliasing—effect of sampling at a discontinuous point—relationship between analog and digital sinc—effects of oversampling—discrete-time processing of continuous-time signals.Discrete Fourier Transform (DFT): Definition of the DFT and inverse DFT—relationship to discrete-time Fourier series—matrix representation—DFT as the samples of the DTFT and the implied periodicity of the time-domain signal—recovering the DTFT from the DFT—circular shift of signal and the "index mod N" concept—properties of the DFT—circular convolution and its relationship with linear convolution—effect of zero padding—introduction to the Fast Fourier Transform (FFT) algorithm—decimation-in-time and decimation-in-frequency algorithms. | 11 | 3 - 1 - 0 - 0 - 7 - 0 |
| 7 | EE3001 | Solid State Devices Solid state devices – History and its relevance in modern worldSolids, Crystals and Electronic grade materialsFormation of energy bands in solidsConcept of hole, Density of states and Fermi levelIntrinsic and extrinsic semiconductorsEquilibrium Carrier concentrationDirect and indirect semiconductorsRecombination and Generation of carriers,Carrier transport – Drift and DiffusionEquations of state – Continuity and Poisson equationpn junction – energy band diagram, derivation of dc and ac characteristicsBipolar junction transistors – physics and characteristicsMOS capacitorMOSFET – physics, characteristics and modelingOther devices: LEDs, Solar cells, metal-semiconductor junctions, solid state memories | 11 | 3 - 1 - 0 - 1 - 6 - 11 |
| 8 | EE3002 | Analog Circuits 1) MOS transistor characteristics; small signal model2) Common source amplifier, frequency response, Miller effect3) Introduction to negative feedback; Closed loop behavior of first, second and third order systems in a feedback loop; Gain and Phase margin4) Dominant pole compensation; Pole splitting5) Controlled sources using MOS transistors and opamps6) Swing limits of amplifiers7) pMOS transistor; Active load; CMOS inverter; Differential pair8) Single stage and Two stage opamps; Miller compensation;9) Bipolar junction transistor | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 9 | EE3003 | Power Systems Introduction to Power Systems: Historical developments, performance requirements, typical power station and substation layout, single line diagram, conventional and non-conventional electrical energy sources-recent trends. Transmission and Distribution Systems: overhead lines, insulators, underground cables, distribution systems. Power system analysis: Modeling of power system components, basics of load flow analysis, power system stability. Power system protection: Switchgear, fuses, circuit breakers, symmetrical fault calculations-basic principles of protection relays. Economics of power supply system: Economic load dispatch without losses, unit commitment. | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 10 | EE3004 | Control Engineering 1. Open-loop and closed-loop systems: Mathematical Models for Physical Systems:Electrical circuits, dc generator and motors, Mechanical systems, computational systems. Linearization of nonlinear systems. Transfer function representation.2. Transient Response: Typical inputs; Time-domain specifications; Steady stateerrors; error series, system error and Non-unity feedback systems.3. Concept of stability; necessary and sufficient conditions for stability; BIBO stability,Routh-Hurwitz criterion; Root locus plots, relative stability.4. Frequency response; Bode plots; Frequency domain specifications: Gain Marginand phase Margin; Nyquist plot: Nyquist stability criterion;5. Controller Design: basics of the proportional, derivative and integral actions, lead lag compensators: via root locus and frequency domain methods.6. State-variable representation of systems: Solution of state equations, stability,controllability and observability, pole placement. | 11 | 3 - 1 - 0 - 1 - 6 - 0 |
| 11 | EE3005 | Communication Systems (1) Review of Signals and Systems -- Linear time-invariant systems, Fourier series, Fourier transform, Bandwidth, Baseband and passband signals, complex baseband representation of passband signals (2) Amplitude Modulation (AM) -- Double Sideband - Suppressed carrier AM, Conventional AM, Single sideband AM, Vestigial sideband AM, Quadrature AM (3) Angle Modulation -- Phase modulation (PM), Frequency modulation (FM), FM spectrum, Phase-locked loops (4) Signal space representation -- Gram-Schmidt orthogonalization, orthogonal expansion of signals and approximation, vector representation, vector representation of channels (5) Review of Probability -- Probability basics, Random variables, Random vectors, Independence of random variables, Moments, correlation matrix, covariance matrixGaussian random vectors -- Scaling and translation, Standard Gaussian, Joint Gaussianity, linear transformation of jointly Gaussian random vectors (6) Random processes -- Basic definitions, Second-order statistics, Wide-sense stationarity and stationarity, Power spectral density, Gaussian random processes, Noise modeling, Filtering, Projection of Gaussian noise onto a signal space (7) Binary modulation on the additive white Gaussian noise channel, Reduction to binary hypothesis testing | 10 | 3 - 1 - 0 - 0 - 6 - 0 |
| 12 | EE3006 | Principles of Measurement SI Units, significant digits; Errors in Measurements – Systematic and random errors, propagation of errors; Analog Indicating Instrument – The PMMC meter; Analog Indicating Instrument – The MI meter; Analog Indicating Instrument – The ED type meter; Analog Indicating Instrument – Miscellaneous; Digital methods of measurement – The counter-timer; Digital methods of measurement – Analog to digital converters; Digital methods of measurement – Digital multimeter; Digital methods of measurement – DAQ systems; PC based measurement techniques; Graphical methods of measurement – CRO, DSO; Null balance method – Potentiometers – dc and ac; Bridges dc and ac; Voltage and current scaling – CT/ VT and CVT | 8 | 2 - 0 - 0 - 3 - 3 - 8 |
| 13 | EE3110 | Probability Foundations for Electrical Engineers Introduction to Probability: Sets, Events, Axioms of Probability, Conditional Probability and Independence, Bayes Theorem and MAP Decision Rule Random Variables: Definitions, Cumulative Distribution Functions, mass and density functions, joint and conditional distributions, Functions of Random Variables Expectations: Mean, Variance, Moments, Correlation, Chebychev and Schwarz Inequalities, Moment-generating and Characteristic Functions, Chernoff Bounds, Conditional Expectations Random Vectors: Jointly Gaussian random variables, Covariance Matrices, Linear Transformations, Diagonalization of Covariance Matrices Random Sequences: Sequences of independent random variables, correlation functions, wide-sense stationary sequences, LTI filtering of sequences Law of Large Numbers, Central Limit Theorem | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 14 | EE3203 | Power Electronics Introduction Features of Power Processing Systems: Ideal DC and AC waveforms; DC figures of merit – ripple factor and average value; AC figures of merit – harmonic factor, distortion factor, THD, power factor, crest factor. Semiconductor Devices: SCR – static v-i characteristics, dynamic characteristics, commutation, turn-on methods; Power Diode; Power MOSFET; IGBT. Simple Power Electronic Circuits: SCR circuits with R load, RL load, RL load and freewheeling diode – continuous and discontinuous modes of operation. Rectifiers: Single phase diode bridge – R load, constant dc-side current, effect of source inductance, constant dc-side voltage; Three phase diode full-bridge with constant dc-side current – ideal circuit, effect of source inductance; Single phase full-controlled thyristor bridge – constant dc-side current, effect of source inductance, inverter mode of operation; Three phase full-controlled thyristor bridge – constant dc-side current, effect of source inductance; Higher pulse rectifiers. Converters: Basic non-isolated topologies: Buck, boost, buck-boost and cuk converters – steady state analysis under continuous and discontinuous modes of operation; Steady state analysis of a few isolated topologies. Inverters: Pulse-width-modulated inverters – sine-triangle modulation, single phase half-bridge inverter, single phase full-bridge inverter – unipolar and bipolar schemes, three phase inverters; Square wave inverters – single phase and three phase (180 degree mode of operation); Effect of blanking time; Other inverter control techniques – single phase output control by voltage cancellation, Selective Harmonic Elimination (SHE), hysteresis control; AC Voltage Controllers: Configuration and basic operation, application. | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 15 | EE3313 | Device Modelling Basic Semiconductor Physics: SRH and Auger models of recombination; Heavy doping and bandgap narrowing; Avalanche multiplication;MOSFET Modelling : Analysis of threshold voltage in ideal and non-ideal conditions; Threshold voltage and body effect; Long channel models for drain current; effect of non-uniform doping in the channel; channel length modulation and dynamic operation; short channel and small geometry effects; subthreshold charges and currents; small signal analysis; modeling of SOI MOSFETBipolar Transistor Modelling: Ebers-Moll model; stored charge and capacitances in BJT; derivation of fT from small signal equivalent circuit; graded base doping; variation of with collector current; high injection effects in collector; heavy doping effects in emitter; Gummel-Poon model; current crowding; polysilicon emitter transistorHeterojunction Devices: Concept of heterojunction; Modelling of heterostructure devices e.g. HBT and HEMT | 10 | 3 - 1 - 0 - 0 - 6 - 0 |
| 16 | EE3701 | Microprocessor Laboratory Practical exposure to software and hardware of microprocessors | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 17 | EE4131 | Analog and Digital Filters stability and realizability conditions for rational functions in s-domain. Synthesis of impedence networks and single-ended 2-port networks. Butterworth, Chebyshev and Bessel Filters. Transformation to high pass and band pass filters. Filter design.Non-linearity of phase and its consequences. Filter delayReview of Sampling of analog signals and aliasing. Mapping analog filters to digital domain via sampling. Impulse invariant and Bilinear transformation techniques. IIR filters in digital domain. Pole-Zero placement and implications.The filter design problem - dividing the work between analog and digital sectionsOversampling to simplify the analog filterFIR filters. Requirements. Linearity of phase.Obtaining FIR filter from specified frequency response. Need for windowing.Gibbs phenomenon and its impact on stop-band attenuation and pass-band ripple.Rect, Triangular, Hanning and Kaiser windowsFIR filter design using Kaiser windowsDifferentiating, high pass and band pass filtersCombined analog and digital filter design to meet system specificationsIntroduction to optimal FIR filter design. | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 18 | EE4140 | Digital Communication Systems 1) Introduction by examples-Digital communication systems: performance metrics and specifications-Physical layer: communications media and their characteristics2) Background: Deterministic and Random Signals-Passband signals, carrier frequency-Complex baseband and up/down conversion-Filters, channels, signals and bandwidth-Probability, random signals and Additive White Gaussian Noise (AWGN)-Sampling and reconstruction from samples, folded spectrum-Signal power: peak vs average3) Ideal AWGN channel: Transmitters and Receivers-Pulse Amplitude Modulation (PAM) and Quadrature Amplitude Modulation (QAM)-Transmit pulse, symbol rate and spectrum of PAM/QAM-Optimal receiver: sampled matched-filter front end-Equivalent discrete-time AWGN channel model-Performance: error-rate versus signal-to-noise ratio, decision regions-Coding and capacity-Other imperfections: carrier recovery, symbol-timing recovery, phase distortion, backoff4) AWGN channel with Inter-Symbol Interference (ISI)-Discrete-time AWGN channel model with ISI-Equalization: linear and decision-feedback-Orthogonal Frequency Division Multiplexing (OFDM)5) Case study: go through the physical layer portion of a communication standard | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 19 | EE4371 | Introduction to Data Structures and Algorithms * Data representation and abstract data types; basic concepts of data structures * Efficiency of algorithms; big-Oh notation; time and space complexity; performance measures * Abstract data types: array, lists, trees and associated algorithms * Hashing and searching, dictionary data types * Graph data structures and algorithms: shortest paths, depth-first and breadth-first search, set and vertex cover; applications to design automation * Sparse matrices; representation; efficient numerical algorithms * Algorithm Design Paradigms - greedy, divide and conquer, dynamic programming, backtracking. * Basics of concurrent algorithms; introduction to parallel programming and architectures | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 20 | EE4701 | Advanced EE Laboratory Experiments in Power Systems, Communications, Control Labs | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 21 | EE4900 | B.Tech Project Project Work | 27 | 0 - 0 - 0 - 0 - 27 - 27 |
| 22 | EE5002 | Analysis of Networks & Systems Introduction, Network theorems, Fourier and Laplace transforms,positve real functions, passive network synthesis, passive and activefilter basics, S-parameters and transmission lines, adjoint networks and sensitivity analysis, numerical analysis of nonlinear circuits andtransients, discrete-time systems and z-transforms, digital filterbasics, graph theory and state-variable analysis. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 23 | EE5011 | Computer Methods in Electrical Engineering 1. Programming Overview Interfacing C code to Python. Debugging and Profiling. Precision issues. 2. Interpolation Polynomial, rational function and spline interpolation. 2D interpolation 3. Integration Romberg and spline integration. Effect of discontinuities. Improper integrals. Gaussian quadratures. 4. Function Fitting Taylor approximations vs minimax approximations. Chebyshev, Rational Chebyshev and fourier fitting. Fast algorithms. Effect of poles. 5. Root Finding Root finding in 1-D and N-D 6. Minimization 1-D minimization. Simplex, Powell and Conjugate Gradient methods in higher dimensions 6. Random variables Generating random numbers, testing. Generating desired pdfs. Introduction to Monte Carlo methods. The chi-squared and K.S. tests to determine if distributions differ. 7. Optional: Simulated Annealing Finding global minimum in a problem with many local minima 8. Linear Algebra Brief overview of theory following Strang. Numerical techniques using eigen decomposition and SVD. Sparse matrices 10. Optional Alternate Topics: ODEs, PDEs, Digital filters and Model based estimation | 12 | 2 - 0 - 3 - 0 - 7 - 12 |
| 24 | EE5110 | Probability Foundations for Electrical Engineers Various definitions of probability, axioms of probability, basic properties derived from the axioms, conditional probability, total probability, Bayes’ rule, Independence of events, combined experiments and independence, binary communication channel example (MAP and ML decoding).Random variables: Definition, cumulative distribution function (cdf), continuous, discrete and mixed random variables, probability density function (pdf), examples of random variables, physical interpretation of pdf’s (histograms), multiple random variables, joint distribution – definition and properties, joint density – definition and properties, marginal distribution anddensity, conditional distribution and density, independence of random variables, expectations, moments, central moments, properties of expectation operator, mean, variance, Markov inequality, Chebyshev inequality, Chernoff bound, effect of linear transformations on mean and variance, autocorrelation, crosscorrelation, covariance, Cauchy-Schwartzinequality, conditional expectation, characteristic function, central limittheorem, transformations of single and multiple random variables, random vectors, properties of Gaussian random vectors.Random processes: Definition, stationarity, mean, correlation and covariance, wide-sensestationary random processes, examples of random processes, cross-correlation functions, joint wide-sense stationarity, time averages and ergodicity, measurement of mean and autocorrelation function, transmission of random process through a linear filterrelationship between input and output processes, power spectral density (PSD) – definition and properties, examples, relationship between input and output processes PSD for a linearfilter, periodograms, cross spectral densities, Gaussian process – properties, white noise, noise equivalent bandwidth, narrowband noise, bandpass processes – representation, sampling. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 25 | EE5111 | Estimation Theory Classical parameter estimation: Cramer-Rao bound, Minimum mean squared error estimation, Minimum variance unbiased estimation, Best Linear Unbiased Estimation, Maximum Likelihood estimation, Method of Moments. Bayesian parameter estimation: Minimum mean squared error (MMSE) estimation, Maximum a posteriori estimation, Linear MMSE estimation, Sequential linear MMSE estimation, Kalman Filter. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 26 | EE5112 | Detection Theory 1) Hypothesis Testing: Bayesian hypothesis testing, Minimax hypothesis testing, Neyman-Pearson hypothesis testing, Composite hypothesis testing 2) Signal Detection: Deterministic signals in independent noise, Deterministic signals in (non-i.i.d.) Gaussian noise, Detection of signals with random parameters, Performance 3) Sequential detection: Sequential Probability Ratio Test 4) Change Detection | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 27 | EE5113 | Detection and Estimation Theory 1) Hypothesis Testing: Bayesian hypothesis testing, Minimax hypothesis testing, Neyman-Pearson hypothesis testing, Composite hypothesis testing 2) Signal Detection: Deterministic signals in independent noise, Deterministic signals in (non-i.i.d.) Gaussian noise, Detection of signals with random parameters, Performance 3) Classical parameter estimation: Cramer-Rao bound, Minimum mean squared error estimation, Minimum variance unbiased estimation, Maximum Likelihood estimation. 4) Bayesian parameter estimation: Minimum mean squared error (MMSE) estimation, Maximum a posteriori estimation, Linear MMSE estimation. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 28 | EE5130 | Digital Signal Processing (1) Review of Discrete-Time Signals and Systems, LTI systems, convolution,sampling (2) Review of Discrete-Time Fourier Transform, Z-Transform, DFT (FFT) and their properties (3) LTI systems in the transform domain: poles and zeros, magnitude and phase response, group delay (4) Linear-phase, allpass and minimum-phase systems, spectral factorization (5) Introduction to multirate DSP | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 29 | EE5140 | Digital Modulation and Coding Complex Baseband Representation: Energy and Power signals, Frequency domain representations, Passband and Baseband signals, Upconversion and Downconversion, Equivalences between baseband and passband signals Digital Modulation: Linear modulation, pulse shaping, PSD of linear modulated signals, Nyquist criterion for ISI avoidance, Differential Modulation, Nonlinear Modulation, M-ary constellations and power efficiencyCoherent Demodulation: Signal space concepts, Additive White Gaussian Noise, Bayesian Hypothesis Testing, Optimal demodulation in AWGN, Error Performance, Elementary link budget analysisNoncoherent Demodulation: Synchronization errors, Timing and Frequency errors, Noncoherent demodulation, Square-law detector, Error performanceISI Channels: Demodulation of stream of symbols, Inter-symbol Interference, Optimal demodulation with ISI, Viterbi algorithm, Linear equalization, Decision feedback equalization | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 30 | EE5141 | Introduction to Wireless and Cellular Communication Overview of cellular evolution to 4G and beyond, Introduction to terminology, link budget, Computer Simulation of Digital Communications link Cellular Concepts - Freq re-use, Co-channel interference, handoff, Erlang capacity) Radio Propagation – small scale effects, Multipath, different types of fading, delay-spread, Computer generation of fading channels, BER performance in fading Diversity - Types of diversity, analytical methods, computer simulation Capacity of wireless channels - CSIR, CSIT, Water-filling Introduction to MIMO systemsPrinciples of CDMA cellular systems Principles of OFDM based broadband wireless systemsRadio Propagation – large scale effects, Propagation and Path-loss models, shadowing, diffraction loss | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 31 | EE5150 | Communication Networks 1) Introduction to common networks such as the Internet, WiFi, Cellular networks, Ad hoc and Sensor networks; Introduction to ISO/OSI Layers; Deterministic and Stochastic Network Calculus, Introduction to Network Simulators; 2) Medium Access Control Layer: ARQ protocols; Random access; Backoff algorithms; WFQ implementations; Introduction to Queueing theory; Mesh networks;3) Routing Layer: Routing algorithms for wired, wireless and mobile networks; Multihop networks; Flow management and Rate region; Buffer management;4) Transport Layer: TCP; UDP5) Applications: Cross-layer Design; Network Monitoring; Performance Measures; Notions of fairness; QoS; | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 32 | EE5151 | Communication Techniques Part-1: From “Digital Telephony”, J.C.Bellamy, 3rd Ed (John Wiley)1.1 Chapter 1 – Introduction: reading1.2 Chapter 2 – Why digital representation and trasmission? reading1.3 Signal representation, Sampling of band-pass signals (Notes)1.4 Chapter 4 – Digital transmission & multiplexing of digital streams – examples from elastic buffers, bit-stuffing, and marker detection for framing 1.5 Chapter 5 – Digital switching for Voice -- Multistage switches, Non-blocking and Blocking switches, Blocking Probability versus Complexity, (5.1--5.4; excluding 5.2.3 to 5.2.6), Digital Trunking for Voice – interpretation from Erlang-B formula (Notes)Part-2: From “Wireless Communications”, T.S.Rappaport, (Pearson Ed.)2.1 Chapter 1 – Introduction to wireless communications: reading2.2 RF Principles, Path Loss, Receiver Sensitivity, Wireless Communication Link Budget, Analog repeater (relay) design, BER of Analog Repeater and Regenerative Repeater (Notes)2.3 Chapter 2 – Cellular concept – System design fundamentals(emphasis on co-channel interference and system capacity, and trunking efficiency), user capacity of cellular TDMA and DS-CDMA systems (also from Chapter 8) Part-3: From “Data Networks”, Bertsekas and Gallager, 2nd Ed, (Prentice Hall India)3.1 Elements of Packet Switching – Motivation, ARQ Protocols, Pipelining, Flow Control3.2 What is hybrid ARQ (HARQ) in 4G LTE systems? | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 33 | EE5153 | Foundations of Optical Networking Review of Computer Network Basics: Computer Network - definition and scope, protocols, layers & protocol stack, a simple network architecture, ISO/OSI 7 layer reference model, functionalities of first three layers, with emphasis on Data Link layer. Framing, error control, MAC layer functions, CSMA/CD, circuit, packet and message switching (3 weeks) Digital Transmission Basics: A simple synchronous TDM, timing inaccuracies, timing issues in practical digital links, master-slave and independent timing architectures, slips, elastic stores and asynchronous multiplexing (2 weeks) First Generation Optical Networks: Asynchronous multiplexing, SDH networks: G.707 multiplexing structure, layers in SDH, role of pointers in STM frames (2 weeks) Second Generation Optical Networks: Broadcast and Select networks, concept of optical LANs, bus, star topologies, MAC in optical layers, WDM networks, wavelength continuity constraint, concepts of optical pass-through, light-path, logical topology and fiber/physical topology (3 weeks) Network Survivability: Availability, dedicated / shared protection, line, path and ring switching, protection & restoration in SDH networks: UPSR, BLSR/s and BLSR/4 rings. Protection in WDM networks (2 weeks) Trends in Optical Networking Design: Routing algorithms, wavelength assignment, and grooming. (1 week) | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 34 | EE5163 | Digital Signal Compression Selection of topics from speech, image and video compression | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 35 | EE5170 | Speech Signal Processing (1) The speech signal—process of speech production—acoustic phonetics—the speech chain—anatomy of the ear—sound perception—audttory models. (2) Acoustic theory of speech production—lossless tube models—digital models for sampled speech signals. (3) Time domain processing of speech signals: short-time energy, magnitude, zero-crossing rate, autocorrelation function, AMDF. (4) Frequency domain representations for speech signals: short-time Fourier analysis and its modifications. (5) Cepstrum and homomorphic speech processing: short-time cepsturm and complex cepstrum—cepstrum analysis of all-pole models—cepstrum distance measures. (6) Linear predictive analysis of speech: basics of LP analysis—computation of model gain—frequency domain interpretation—solution of the LP equations—prediction error signal—properties of the LP polynomial—alternative representations of the LP coefficients. (7) Applications: introduction to speech coding, recognition, and synthesis. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 36 | EE5175 | Image Signal Processing Basics: Applications of image processing. notion of pixel, resolution, quantization, photon noise, Geometric transformations, source-to-target and target-to-source mapping, planar and rotational homography, RANSAC for homography estimation, image registration, change detection, and image mosaicing.Motion blur: Exposure time, weighted frame integration, depth aware warping, spatio-temporal averaging, dynamic scenes.Image Formation in Lens:Pin-hole versus real aperture lens model, lens as a 2D LSI system, blur circle, Doubly block circulant system matrix, pill box and Gaussian blur models, space invariant and space variant blurring.3D Shape from Focus:Depth of field, focal stack, focus operators, focus measure curve, Gaussian interpolation, 3D recovery, focused image recovery.Image Transforms:Data dependent and independent transforms, 1D Orthogonal trasnforms, Kronecker product, 2D orthogonal transforms from 1D, 2D DFT, 2D DFT for image matching, 2D DCT, Walsh-Haddamard transform, Karhunen-Loeve transform, eigenfilters, PCA for face recognition, singular value decomposition, image denoising using SVD.Photometric stereo: Normal estimation, depth reconstruction, uncalibrated PS, Generalized bas relief ambiguity. Image Enhancement:Thresholding methods (peak-valley, Otsu, Chow-Kaneko), histogram equalization and modification, Noise models, mean, weighted mean, median, weighted median, non-local means filter, BM3D, frequency domain filtering, illumination compensation by homomorphic filtering, segmentation by k-means clustering, higher-order statistics based clustering. Image Restoration:Well-posed and ill-posed problems, Fredholm-integral equation, condition number of matrix, conditional mean, Inverse filter, Wiener filter, ML and MAP restoration, image super-resolution.Edge Detection:Gradient operators, Prewitt, Sobel, Roberts, compass operators, LOG, DOG, Canny edge detectors, non-maxima suppression, hysteresis thresholding. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 37 | EE5200 | Power Converter Analysis and Design Power Devices and their driving circuitry IGBT, Power MOSFET, IGCT, SCR – data sheet interpretation and gate drive Circuit Design, SiC MOSFET devices and their characteristics AC/DC Converters Review of three phase SCR bridge converters and performance analysis. Three phase and cascaded bridge structure with phase shifting transformer. IGBT front end converter and their control in sync ref frame (ref frames should be taken up in beginning section in machine modeling course for this) – four quadrant operation – resistance emulation methods. Single phase power factor correction circuits and control DC/AC converters Two level inverters: Selective Harmonic Elimination, SPWM, Space Vector. Advances in Space Vector Approach. Effect of dead time on performance and compensation schemes. Multilevel converters – NPC, Flying capacitor, and cascaded structures: Analysis and triggering schemes Matrix Converters and their operation – Structure and their methods of control Elements of Power Converter Design A given application power rating – selection of device, loss calculation, driving circuitry design, device protection, current/voltage sensors and their datasheets (LEM). | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 38 | EE5201 | Modelling and Analysis of Electric Machines Fundamentals Magnetic Fields Magnetic Circuit Singly Excited Linear Motion System Linear and Cylindrical Motion Systems Systems with Multiple Excitations Non-linear Magnetic Systems Windings and inductances Inductances in Constant Air gap Machines Inductance in Salient Pole Machine Inductances of Distributed Winding Dynamic Equations of Induction Machines Dynamic Equations of Salient Pole Synchronous Machine Transformations and DC Machine Three-to-Two Phase Transformation Induction Machine in Two-Phase Reference Frame The Pseudo-Stationary Reference Frame Induction Machine in Pseudo-Stationary Reference Frame The Primitive Machine Equations Dynamic Equations of DC Machines Small Signal Model of DC Machine Small Signal Behaviour of DC Machine Further transformations and AC machines The Arbitrary Reference Frame Induction Machine Equations in Arbitrary, Synchronous Reference Frames and Small Signal Modelling Introduction to Field Oriented Control of Induction Machines Space Vector Formulation of Induction Machine Equations Modelling of Salient Pole Synchronous Machines Steady State Models – Induction Machine Steady State Models – Salient Pole Synchronous Machine Solution of Dynamic Equations of Induction Machine Dynamics of Threee Phase alternators Reactances of Salient Pole Synchronous Machines Sudden Short Circuit of Three Phase Alternator – Analytical Solution Sudden Short Circuit of Three Phase Alternator – Numerical Simulation | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 39 | EE5202 | Computer Aided Design of Electrical Machines Design Perspective of Electromagnetic Equipment - relevance of computer tools in machine design and the design process. Magnetic Field, inductance and magnetic circuits. Ferromagnetism - properties of ferromagnetic materials. Permeability and its various forms - initial, amplitude, incremental, reversible, effective and complex permeability. Soft and Hard magnetic materials. Types of steel - properties and standards. Current materials, ferrites, amorphous and nano-crystalline. Windings - materials, skin effect. Conductor in a slot - leakage fluxes and current density variations - loss comparison of single bar and subdivided conductors. Conductor transposition. Types of windings - form and random, litz Solenoid Design - geometry and force prediction, design for specifications. Force from energy considerations and inductance variation. Introduction to FEMM software and design validation of solenoid through FE Analysis. Transformer Design: basic design equation, winding layers and the design process. Leakage inductance estimation - use of FEMM in design and validations. Machine Design - derivation of the fundamental design equation and machine constant - arriving at main dimensions of a machine. Carter's coefficient and its use in determining air gap flux density. Synchronous Generator Design - determination of total mmf requirement - rotor pole design and shaping - FE verification - pole shoe, stator teeth and stator / rotor yokes. Permanent magnet materials and their characteristics - design and magnet selection for magnet-core-air gap geometry - temperature effects - selection of operating point. Stator design - integral slot and fractional slot winding. Use of slot star diagram. Distribution factor, pitch factor. Examples of winding design - single and double layer - symmetry conditions. Skew factor and slot harmonics. Assignments: Solenoid Design, Transformer Design, Wound field alternator design, BLDC machine design, PM alternator design. | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 40 | EE5257 | Energy Management Systems and SCADA 1. Energy Management Systems Introduction: Introduction and Evolution of EMS from Control Centers to Energy Control Centers to EMS. Functions and Benefits of EMS; SEBs Monitoring and Control. Architecture and Applications: Various Architecture of EMS, On / Off Line Functions of EMS, Real Time Modeling and Applications of EMS: Energy Management Systems Control: Automatic Generation Control (AGC). Load Frequency Control (LFC), Voltage Reactive Power Control (VQC); Case Studies of Energy Management Systems: Security Assessment; Dispatch, Contingency analysis. Study Mode Applications: Forecasting: Power Flow, Optimal Power Flow, State Estimation, Security Assessment. 2. SCADA (Supervisory Control and Data Acquisition) Introduction and Evolution of SCADA, Functions and Benefits of SCADA, Various Architecture of SCADA. Modules and Components of SCADA. SCADA Hardware RTU; IED SAS Architectures. SCADA Software IEC618950; Protocol GOOSE; Configurations of SCADA, RTU (Remote Terminal Units) Connections. SCADA Communication requirements, protocols: Past Present and Future. Applications of SCADA i) Power Systems; ii) Railways, iii) Renewal Energy and iv)Smart Grid; Power SCADA: Automation; Protection; Relay Interoperability | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 41 | EE5260 | Power Quality 1. Power quality aspects in power system, power quality indices, power quality standards, terms and definitions. 2. Brief Introduction to power quality problems mitigation devices in power distribution system (custom power devices), Application of power electronic controllers in power system, Distribution Static compensators, DSTATCOM), Dynamic Voltage Restores (DVR), Unified Power Quality Conditioner (UPQC), Static Power Transfer Switches (SPTS) etc. 3. Study on various transformations to analyze three phase systems. 4. Power definitions and components for single phase and three-phase systems. 5. Theory of fundamental unbalanced load compensation. 6. Theories of load compensation with unbalanced and harmonic components shunt active power filters or compensators, working of DSTATCOM, design and performance aspects. 7. Series compensation using dynamic voltage restorer (DVR), principle of operation, analysis and design aspects of DVR. 8. Shunt and series compensation using UPQC. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 42 | EE5261 | Flexible AC Transmission Systems Principles of power flow control and voltage control in transmission network Static VAR Compensator – Configuration and Controller Thyristor Controlled Series Capacitor – Operation, Analysis and Control Voltage Source Converter based FACTS Controllers Static Synchronous Compensator – Analysis, Control, Multipulse converter, Multilevel Converter Static Synchronous Series Compensator – Control Multiconverter devices – Unified Power Flow Controller, Interline Power Flow Controller, Convertible Static Compensator Modeling of FACTS for load flow analysis and system stability studies | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 43 | EE5310 | Analog Electronic circuits 1) MOS transistor characteristics; small signal model2) Common source amplifier, frequency response, Miller effect3) Introduction to negative feedback; Closed loop behavior of first, second and third order systems in a feedback loop; Gain and Phase margin4) Dominant pole compensation; Pole splitting5) Controlled sources using MOS transistors and opamps6) Swing limits of amplifiers7) pMOS transistor; Active load; CMOS inverter; Differential pair8) Single stage and Two stage opamps; Miller compensation;9) Bipolar junction transistor | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 44 | EE5311 | Digital IC Design CMOS TransistorCMOS InverterInterconnectsCombinational LogicSequential CircuitsArithmetic Building BlocksMemories | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 45 | EE5312 | VLSI Technology Introduction: Overview of VLSICrystal structure and Single Crystal growth of siliconEpitaxyOxidationDiffusionIon-implantationLithographyDry and Wet EtchingChemical Vapour Deposition of thin filmsMetallizationMOSFET process flow with a view towards performance improvementBJT Process flow with a view towards performance improvementCurrent trends and challenges | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 46 | EE5313 | Semiconductor Device Modelling Semiconductors: Energy bands; Thermal equilibrium carrier concentration. Excess carriers, quasi Fermi levels; Recombination of carriers, lifetime.Carrier transport by drift, mobility; Carrier transport by diffusion; Continuity equation. Diffusion length.Quantitative theory of PN junctions: Steady state I-V characteristics under forward bias, reverse bias and illumination. Capacitances. Dynamic behavior under small and large signals. Breakdown mechanisms.Quantitative theory of bipolar junction transistors having uniformly doped regions. Static characteristics in active and saturation regions. Emitter efficiency, transport factor, transit time.Theory of Field Effect Transistors : Static characteristics of JFETs. Analysis of MOS capacitor. Calculation of threshold voltage. Static I-V characteristics of MOSFETs and their models. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 47 | EE5320 | Analog IC Design 1. Introduction to IC design and concepts2. Noise and mismatch in analog design3. Advanced concepts in Negative Feedback4. One-stage opamps5. Two-stage opamps, compensation6. Fully differential opamps7. Advanced topics in analog IC design such as PLLs, bandgap references | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 48 | EE5321 | Active Filter Design Magnitude approximations : Butterworth and Chebyshev Frequency transformations : Lowpass to Bandpass, Highpass, Bandstop Network synthesis of passive LC Ladder filters Active integrators based on opamps and transconductors Active-RC, Gm-C and Gm-OTA-C filters Introduction to noise in electronic circuits Noise in active filters Nonidealities in active-RC filters Transistor level design of active filters Practical techniques for measurement of integrated analog filters | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 49 | EE5323 | Advanced Electrical Networks Introduction: Review of linear electrical networks. Two port treatment using the scattering matrix – the Vector Network Analyzer. Reciprocity, Duality and Interreciprocity, Bode Sensitivity. Advanced Frequency compensation techniques.Noise in linear time invariant networks.Linear time varying and linear periodically time varying (LPTV) system analysis. Periodic transfer functions, Periodic AC analysis. Noise in LPTV systems – discrete time , mixed continuous-time/discrete-time analog circuits and frequency translating circuits. Phase noise in oscillators.Weakly nonlinear networks and the Volterra Series formulation – applications to Filters and data converters. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 50 | EE5330 | Computer-Aided Design and Analysis of Digital ICs Advanced Boolean Algebra: Boole-Shannon expansion, Boolean difference, Cofactors and Consensus, unate functions and covers.Computational Boolean Algebra: Positional cube representation (PCR) for Boolean functions, Boolean operations using PCR, unate recursive paradigm, tautology, complementation and containment, Graph based algorithms for Boolean functions, Binary decision diagrams (BDDs), Reduced ordered BDDS (ROBDDs) and canonical representations, Data structures for ROBDD, applications in test and verification, Boolean satisfiability.Power and Timing analysis: Static timing analysis, slacks and critical path delay computation, algorithms for power estimation, statistical timing and power analysis, Monte Carlo simulation.Will have programming assignments | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 51 | EE5332 | Mapping Signal Processing Algorithms to DSP Architectures Course topics: - Architectures for VLSI implementation of signal processing systems - Multi-core, many-core, hardware accelerators - Metrics for analysis and comparison of architectures - DSP algorithms, properties relevant to hardware realizations - Modifications to algorithms to improve hardware realizability - Models such as dataflow graphs and their use in architecture exploration - Communication architectures, networks on chip - Specialized architectures for DSP functions The course also has a lab component that could include C/C++ coding, Verilog etc., but is not intended to teach these languages in detail. | 12 | 4 - 0 - 0 - 0 - 8 - 0 |
| 52 | EE5341 | MOS Device Modeling & Characterization MOS capacitor: C-V characteristics; Effect of metal work function, oxide and interface trapped charges. Threshold voltage. Tunnelling current. MOSFET: Threshold based models of static I-V characteristics: Channel length modulation, field dependent mobility, short channel and narrow width effects; Subthreshold current, Quantum mechanical effects Capacitances, concept of non-reciprocal capacitances. Dynamic behaviour under small and large signals. Surface potential and charge based models. Model parameters and their extraction. SOI MOSFETs, Double Gate MOSFETs and FinFETs. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 53 | EE5342 | Compound Semiconductors - Properties and Applications Properties of most widely used compound semiconductors e.g. GaAs, InP, GaN and comparison with silicon.Technology of Compound Semiconductor devices with emphasis on crystal growth, MOCVD, MBE, Ion-implantation, etching and metallization.Problems of MOS devices on GaAs and InPMESFETHeterojunction devices e.g. HEMT and HBT on different material systemsOptoelectronic devices e.g. solar cells, photodetectors, LEDs and LASERs on compound semiconductor platforms | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 54 | EE5343 | Solar Cell Device Physics and Materials Technology Motivation (Energy), Limits (Efficiency), Electrical conductivity, Optical properties of semiconductors, Recombination dynamics, Transport equation, Application of transport equations, Photocurrent in p-n junctions, Solar cell configurations, Efficiencies (solar cell parameters) and spectral response, Losses in solar cells, Equivalent circuits, Measurement techniquesCrystalline Si solar cells, Heterojunctions-interfaces and cells, GaAs/AlGaAs solar cells, InP/CdS solar cells, Polycrystalline solar cells, Growth and fabrication techniques, 3rd generation solar cells-technology, ideas, designsBalance of Systems (Inverters), Lab Visit and hands on experience (CEC) | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 55 | EE5345 | Semiconductor Power Devices Unipolar, bipolar and MOS-bipolar devices, material properties and transport physics, breakdown voltage of plane and planar junctions, edge terminations, P-i-N rectifiers, schottky rectifiers, power MOSFETs, bipolar junction transistor and thyristors | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 56 | EE5346 | Introduction to Plastic Electronics (1) Historical Background; Objectives and scopes; Basics of organic semiconductors (2) Localized Charge Transport; Concept of Polaron (3) Organic Electronic Devices: Diodes (4) Organic Field-Effect Transistors: Charge transport (5) Optoelectronic properties of Organic Semiconductors (6) Organic LED; Organic Light Emitting Transistors; Phosphorescent LED (7) Organic Solar Cells (8) Organic Photo-FET: Charge generation, recombination and transport (9) Organic TFT Chemical sensors (10) Brief introduction to frontier area of oxide semiconductors and graphene as the potential materials for plastic electronics | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 57 | EE5400 | Analog and Digital Circuits Ideal opamp : Linear circuits: basic circuits like integrator, practical integrator, buffer, inverting, non-inverting, differential and instrumentation amplifiers, current sources floating and grounded loads, negative impedance converter, generalized impedance converter.Real opamp Performance parameters: Static limitations, Dynamic limitations, Input-output swing limitations, compensation techniques.Closed-loop stability: Feedback stability issues and frequency compensation methods. Noise in opamps.Switched-capacitor circuits.Applications: Non-linear circuits-Comparators, Schmitt trigger, precision rectifier. Non-linear amplifiers: log/antilog amplifiers, analog multipliersAnalog-digital converters Protection circuits for opamps, input and output over voltage and current protection, supply bypassing, avoiding faulty conditions, interference, noise, shielding and guarding, dc leakage paths, Earth loops. Digital: NMOS and CMOS inverters, Digital-overview, timing analysis, static and dynamic hazards, Latches, racing, master salve flip-flops, characteristic equations, sequential circuits, Synchronous state machine analysis, Moore and Mealy machines, state table, state diagram, design of synchronous state machines.Laboratory experiments: . Negative Feedback Amplifiers and Instrumentation Amplifiers2. Regenerative/Positive Feedback systems: Schmitt Trigger, Astable, and Monostable Multi-vibrator.3. Design, implementation and testing of analog active second order low pass, high pass, band pass and band reject filters. 4. Design, implementation and testing of multiple feedback band pass filter, Twin-T type notch filter and all-pass filter.5. Signal Conditioning Circuit for Resistive Transducers.6. Voltage Controlled Pulse-Width Modulation.7. Introduction to Texas Instruments Launch pad Development Board and Code Composer Studio 4.2 IDE for Embedded C programming.8. Understand the operation of Analog-to-Digital Converters and Timers modules in microcontrollers and use these in some suitable applications. | 12 | 2 - 0 - 3 - 0 - 7 - 0 |
| 58 | EE5401 | Measurements and Instrumentation SI Units, significant digits, Analog Indicating Instrument – The PMMC meter Analog Indicating Instrument – The MI meter Analog Indicating Instrument – The ED type meter Analog Indicating Instrument – Miscellaneous Errors in Measurements – Systematic and random errors, propagation of errors Digital methods of measurement – The counter-timer Digital methods of measurement – Analog to digital converters Digital methods of measurement – Digital multimeter Digital methods of measurement – DAQ systems Graphical methods of measurement – CRO, DSO Null balance method – Potentiometers – dc and ac Null Balance methods – Bridges dc and ac Voltage and current scaling – CT/ VT and CVT PC based measurement techniques | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 59 | EE5411 | Synthesis of Control Systems Overview of the course: review of modelling and analysis of control systems, introduction to design, types of specifications, transform-based and state-space approaches.Compensation in time domain with specifications on settling time, peak overshoot etc., the root locus approach, design of a compensator using the root locus, notion of dominant poles, circuit representations. Compensation by frequency response methods with specications on gain margin and phase margin, design of a compensator using Bode plots.Synthesis of PID controllers: design of a controller for a known plant, design of a PID controller when plant model is unknown,Ziegler-Nichols tuning rules and related derivations. Two-degrees-of-freedom (2-DOF) control systems: introduction to 2-DOF control, design of 2-DOF controllers for disturbance rejection along with specifications on overshoot for setpoint trackingInternal stability and design of stabilizing controllers: pole-zero cancellation and issues, parametrization of stabilizing controllers, Youla parameter. State space-based synthesis: Design of a state-feedback controller using pole placement, Ackermanns formula, introduction to optimal control. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 60 | EE5412 | Mathematical Methods in System Engineering 1. Introduction to vector spaces: Systems of linear equations, Subspaces and bases, Orthogonal bases and orthogonal projections, Gram-Schmidt process, Linear models and least-squares problems, Eigenvalues and Eigenvectors, Symmetric and positive definite matrices.2. Functions on Euclidean space: Subsets of Euclidean space, Norms and inner product, Functions and continuity, Sequences and convergence.3. Calculus on Manifolds: Existence and uniqueness of solutions of ODEs, Derivatives, partial derivatives, Inverse and Implicit function theorem, Introduction to Manifolds, tangent bundle, vector fields, Lie brackets, distributions and Frobenius theorem. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 61 | EE5502 | Optical Engineering 1. Basic Optics Geometric Optics Gaussian Optics Fourier Optics 2. Interferometry Diffractive Optics and holography Advanced topics in optical engineering 3. Opto-electronic applications with details of working. Barcode readers Finger print sensors Pick-up heads used in DVD/CD players Biomedical instrumentation Interferometers for metrology Sensors Holographic data storage 4. Lab Content Optical System Design using OSLO® Experiments with interferometry, diffractive optics, CD pick-ups | 12 | 2 - 0 - 3 - 0 - 7 - 12 |
| 62 | EE5504 | Fiber Optic Communication Technology I. Single Hop Optical Communication Links Motivation for optical communication links Optical fiber characteristics – concept of modes, origin of attenuation/dispersion Semiconductor light sources and detectors – double hetero-structures, LI and modulation characteristics, responsivity and bandwidth of PIN/APDs Noise in optical receivers – shot/thermal noise limitations, BER measurements Design of single-hop communication links - power/rise-time budget, power penalty External light modulators – modulation bandwidth, extinction ratio, modulation formats II. Multi-Hop Optical Communication Links Concept of Wavelength Division Multiplexing (WDM), WDM components Optical Amplifiers – Erbium Doped Fiber Amplifiers (EDFA), gain saturation, ASE noise, noise figure Design of WDM links – power/rise-time budget, power penalty Influence of nonlinearities in WDM links III. Optical Fiber Networks Introduction to Optical Networking Design of SDH networks | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 63 | EE5505 | Wave Propagation in Communication Review of Maxwells equations, Boundary Conditions Wave equation, Plane wave solution, Wave Characteristics, characteristic impedance Polarisation, EM spectrum, Poynting Theorem Wave propagation in unbounded media - dielectrics, conductors, skin effect, plasma Plane waves at media interface - normal incidence Plane waves at media interface -oblique incidence, Snells Law, TIR, Brewsters angle Multilayers, impedance matching Parallel plane waveguides -TEM, TE and TM modes, cut off frequencies Distributed impedance, microstrips Waveguides : rectangular waveguide, TE, TM, modes Attenuation in waveguides Dielectric slab waveguide, concept of a fibre Basics of radiation theory-retarded potentials, radiation from a linear dipole antenna Antenna Patterns and Antenna parameters, Antenna arrays | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 64 | EE5702 | Power Laboratory List of experiments 1. Power flow and short circuit analysis of a power system 2. Analysis of three-phase four wire balanced/unbalanced system 3. Compensation of unbalanced delta connected linear loads 4. Compensation of unbalanced nonlinear loads 5. Demonstration of DSTATCOM 6. Familiarization of Lab View 7. DC Drive 8. AC Drive 9. Generation and measurement of high ac and dc voltages 10. Generation and measurement of lightning impulse voltage | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 65 | EE5703 | VLSI Design Laboratory - Hardware description languages with focus on Verilog - Use of Verilog HDL to implement FPGA based designs - Specific examples from signal processing implemented on FPGA boards - Use of virtual logic analyzers and virtual instrumentation for debugging | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 66 | EE6110 | Adaptive Signal Processing 1) Review of Estimation Theory--- Minimum Mean Squared Error (MMSE) estimation--- Linear MMSE estimation--- Sequential linear MMSE estimation--- Kalman filter 2) Stochastic Gradient Algorithms--- Least Mean Squares (LMS) Algorithm--- Mean-square performance--- Transient performance 3) Least Squares Algorithms--- Recursive Least Squares (RLS) algorithm--- Kalman filtering and RLS algorithm 4) Other topics from: Array Algorithms, Lattice Filters, Robust Filters, Other performance criterion (other than MMSE and LS) | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 67 | EE6130 | Advanced Topics in Signal Processing Will be stated by the instructor based on the topics chosen | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 68 | EE6140 | Multi-Antenna Digital Communications Preliminaries: Review of Gaussian random variables and vectors, Complex Gaussian random vectors, Detection in Gaussian noise, Probability of error, union bound, some definitions and results from Information theoryCapacity of the vector Gaussian or MIMO channel, Ergodic Capacity of multi-antenna Gaussian channels with Rayleigh fading, Outage capacity of multi-antenna Gaussian channels with fadingSpatial multiplexing: V-BLASTSpace-time codes: Design criteria, Alamouti code, Orthogonal designs, Quasi-orthogonal space-time codes, Diversity-multiplexing gain trade-offMIMO with feedback: Long-term and short-term power constraints, delay-limited capacityMultiuser MIMO: Multiple access, broadcast | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 69 | EE6141 | Multicarrier Communications Multi-carrier Fundamentals: Basics of digital demodulation in ISI Motivation, OFDM, Subcarrier notion, Role of FFT, Parallel channel decomposition and detection OFDM Transmitter Optimization: Adaptive Modulation, Water-filling Solution, SNR gap analysis, Bit loading algorithms, Linear precoding, Coded OFDM OFDM Receiver Algorithms : Synchronization, Sensitivity to timing and frequency errors, Channel Estimation and Equalization, Zero forcing and MMSE algorithms, Training sequence design Multi-user Systems: OFDMA, SC-FDMA, Distributed and localized mapping, Multi-user diversity, Resource allocation algorithms, Applications to cellular systems MIMO-OFDM: Fundamental MIMO concepts, Spatial diversity, Spatial Multiplexing, Space-Frequency coding | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 70 | EE6142 | Advanced Topics in Communications Will be stated by the instructor based on the topics chosen | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 71 | EE6150 | Stochastic Modeling and the Theory of Queues 1. A short tour through basics (not very measure theoretic) of axiomatic probability theory, convergence, and laws of large numbers. 2. Discrete time Markov chains: class properties, stationary distribution, hitting and mixing times, coupling, and applications to queues and social networks. 3. Renewal theory: elementary renewal theorem, Wald's lemma, renewal reward theorem, and batch biasing (brief discussion on Key and Blackwell's renewal theorem). 4. Poisson process. 5. Continuous time Markov chains: stationarity, time reversal, Kelly's lemma, reversibility, and applications to social networks and queues. 6. (If time permits) Chernoff bound and introduction to large deviations; Martingales and concentration. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 72 | EE6151 | Advanced Topics in Networks To be decided | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 73 | EE6200 | Power Electronic Control of Electric Machines Principles of Drives Drive train methods – Gear, belt, Ball Screw arrangements. Thermal considerations for motor rating and overloads. Quadrants of operation. Stability considerations. Duty classes S1 – S10 and IP class. Relevant standards. DC Drives SCR bridge (3-phase) based drive: power circuit operation – continuous and discontinuous conduction – torque ripple. Line reactors for harmonic reduction. Modeling of drive and control system design, example. Control by back emf estimation. Two quadrant operation. H-bridge controlled drive and four quadrant operation Dual Converter based drives and control strategy for reversible operation. Field Weakening AC Drives: Induction Motor Drives Scalar Control methods Variable voltage method and its implementation in simulation – properties and behavior, limitations– loss and efficiency in variable slip operation Rotor resistance control / Rotor Chopper Control – implementation in simulation – analysis of performance – currents in rotor and stator. Slip energy recovery scheme – static Kramer drive – estimation of performance curves and control principles. V/f control, VSI – estimation of V/f characteristics, SPWM operations – selection of switching frequency – variable switching frequency. Various schemes of V/f implementation – constant slip, constant slip speed. Current Source Inverters and their usage for induction motor control - characteristics of CSI controlled drives. Triggering Schemes for CSI. | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 74 | EE6254 | Advanced Topics in Electrical Insulation Course content will be decided by the instructor | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 75 | EE6255 | Power System Protection Introduction to Protective Relays: Basics and fundamentals of protection and protective relaying in power systems, Classification and Types of relays, overcurrent, differential, distance, directional, Relay characteristics, etc. Equipment Protection: Equipment Protection functions and their applications: Overcurrent Protection, Ground fault Protection, Bus bar Protection, Generator Protection, Motor Protection, Transformer Protection, Transmission Line Protection, Pilot Protection, Overcurrent protection, Distance protection, Directional over current relays, Protection schemes, relay coordination, Modern Protective Relaying: Concepts of Digital Signal Processing, Fourier and Laplace Transforms, Z transform, Filter responses; Fundamentals of Digital/Numeric Relays, Various Relay Algorithms used in Digital Relays, Introduction to Phasor Measurement Units and, Load shedding and Frequency Relaying, Multifunction Relays, Digital Protection: IEC 61850 Communication Structure and Relay interoperability, architecture and protocols for protection; Distributed Network Topologies and Protocols, IEC6185 Object Models, GOOSE Messaging, Data models, Intelligent Electronic Devices (IEDs), Control and Protection by IEDs; IEC 61850 Substation and Automation Protocols, Digital Protection of Electrical Apparatus; Wide Area Measurements (WAMs), Synchronous Phase Measurement Units (SPMU), fault location and identification and protection using SPMU. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 76 | EE6258 | DC Power Transmission Systems Historical Developments Applications of DC Transmission, Comparison of AC and DC Transmission – Economics and Technical Performance Types of DC Links Converter Analysis – Line Commutated Converter (LCC) and Voltage Source Converter (VSC), 6 pulse and 12 pulse Converter Control – Current and Extinction Angle Control in LCC, Control of VSC Converter Faults Harmonic analysis, Design of AC Filters Reactive Power Control – Reactive power requirements, sources of reactive power – SVC, STATCOM Multiterminal DC System – Applications, Types, Control | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 77 | EE6260 | Digital Simulation of Power Systems Introduction: Introduction to Power System Electromagnetic Transients; Introduction to mathematical methods of numerical techniques in power system simulation. Numerical Methods: Analysis of continuous and discrete systems, State variable analysis, transform method, graph method, etc.; Transient and Digital Simulation using State variable analysis and method of difference equations. Modelling: Modeling of power system components in frequency and time domain models; Modeling of Transmission lines, cables; Transformers and rotating equipment; Modeling of nonlinearities in digital models of equipment. Simulation: Frequency Dependent network equivalents of power components and networks; Transient Simulation in Real Time, Mixed time frame simulation; Simulation in PSCAD / ETAP, ATP (Alternative Transients Program), Introduction to RTDS (Real Time Digital Simulator). HIL (Hardware in Loop) etc. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 78 | EE6321 | VLSI Data Conversion Circuits Sampling and sample-and-hold circuits, quantization, ADC and DAC metrics, a survey ADC and DAC architectures. Flash ADCs, oversampling (delta-sigma) ADCs and DACs,discrete and continuous-time integrators and circuit techniques. Current steering and resistive DACs. Basics of dynamic element matching. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 79 | EE6322 | VLSI Broadband Communication Circuits Digital signal transmission; Drivers and receivers for low frequencies; Serialization and Deserialization; Digital signal transmission over lossy and dispersive channels; Eye diagrams; Eye closure; crosstalk, and jitter; Equalization: Linear and non-linear equalizers; Integrated circuit implementation of broadband ampliers for transmission and reception, feedforward and decision feedback equalization; Synchronization: clock and data recovery circuits using phase locked loops and delay locked loops; | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 80 | EE6341 | Compact Modeling of Devices in Integrated Circuit Design Essential goals and features of compact modeling; large-signal and small-signal model variables, model equations and parameter extractions; model implementation in Verilog-A and simulations.Model development, implementation and testing for bipolar transistors: intrinsic, internal and complete device structures and respective model equivalent circuits; integral charge control relations (ICCR) and transfer current; internal base resistance and capacitance; static and dynamic model behavior; various second order effects such as non-quasi-static delay, high frequency noise correlation, electrothermal heating etc.; industry-standard models. Model development, implementation and testing for field effect transistors: threshold voltage-based, surface potential based and charge-based models; Gummel symmetry and its effects; various short channel effects; gate leakage currents; various charge components and non-reciprocal capacitances; industry-standard models. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 81 | EE6343 | Special Electronic Devices Quantum mechanics: Energy quantization, Density of states, Free electron wave function and the Schrodinger equation Potential barrier and well, Scattering matrix formalism and treatment of multiple barriers/wells, Hund's Rule, Coherent spin polarized tunneling, spinors, spin-torque Micromagnetic simulations and applications: Spin valve, Magnetic Reed Sensors, Circular nanomagnets, Nano-particle Boolean logic, spin torque nano-oscillators, spin waves and magnonic devicexs | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 82 | EE6360 | Advanced topics in VLSI Recent research and technology advances in the VLSI area. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 83 | EE6361 | Advanced Topics in VLSI Recent research and technology advances in the VLSI area. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 84 | EE6402 | Biomedical Electronic Systems 1. Biopotential recording a. ECG, EMG, EEG, Action potentials i. Physiological origin and characteristics ii. Electrical characteristics b. Biopotential amplifiers i. Electrode-tissue-electronics interface ii. Operation and design principles c. Noise and interference i. Sources and pathways ii. System and circuit design for noise mitigation 2. Electrical stimulation of cells a. Nerve and muscle stimulation i. Basics of electrical stimulation of excitable cells ii. Stimulation parameters b. Safety i. Electrochemical safety ii. Tissue safety c. Stimulation electronics i. Electrode-tissue-electronics interface ii. Operation and design principles 3. Implantable electronic devices a. Wireless power and data transmission i. Inductive, RF and optical links ii. Design parameters and principles b. Safety and compatibility i. Regulations and standards ii. Design for safety and compatibility 4. Cardiac electronic devices a. Pacemakers i. Cardiac pacing mechanisms ii. Operation and design principles b. Defibrillators i. Fibrillation mechanisms ii. Operation and design principles 5. Neural electronic implants a. Cochlear implants i. Deafness and Auditory nerve stimulation ii. Operation and design principles b. Brain stimulators i. Deep brain and vagus nerve stimulation ii. Operation and design principles c. Retinal implants i. Retinal blindness and Retinal stimulation ii. Operation and design principles | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 85 | EE6404 | Power System Instrumentation Different parts of a power system – generation – transmission – distribution. Instruments for metering and protection – Instrument transformers – Metering and protection current transformers – design – testing, soft ferromagnetic materials – characteristic – compounding soft ferromagnetic materials – characteristic and testing - potential transformers – design and testing – CVT – Measurement of power and energy – digital methods – Standards for testing power system instrumentation | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 86 | EE6419 | Geometric Nonlinear Control Theory Introduction. What is a nonlinear system? Characteristic examples. Limitations of linearization. Nonlinear input-output maps. Mathematical Preliminaries: Vector spaces, Functions on Euclidean spaces, Differentiation, Manifolds, Tangent spaces, vector fields.Controllability and observability. Lie brackets; rank conditions, relations with controllability and observability of linearized systems, examples. State space transformations and feedback. State feedback, feedback linearization, computed torque control of robot manipulators, observer design, and examples.Stability and stabilization. Stabilization and linearization, stabilization of non-controllable critical eigenvalues, zero dynamics and decoupling problems with stability, passivity-based control, discontinuous feedback, examples. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 87 | EE6504 | Optical Communication Networks Review of Optical Networking Basics: Optical communication link, evolution of optical networks, SDH networks, broadcast & select networks, WDM networks. (2 weeks) WDM Optical Networks: Wavelength continuity constraint, optical pass-through, light-path, Routing and Wavelength Assignment (RWA) problem, familiar algorithms and performance analysis. (2 weeks) Optical Network Elements: Optical Line Terminals (OLTs), OADMs, OXCs, passive optical routers, dynamic and flexible optical networking, reconfigurability, ROADMs, optical switch types, photonic integrated circuits from network perspective – photonic interconnects and switches. (3 weeks) Elements of All-Optical Packet Switching: Optical Burst Switching (OBS): JET, JIT protocols, contention resolution algorithms. (2 weeks) Multiplexing, Grooming Routing and Mesh Protection in Optical Networks: End-to-end multiplexing of optical payloads, basic ideas and role of grooming in optical networks – grooming node architecture, selection of grooming sites, trade-offs and strategies. Shortest path algorithms & multipath routing. Mesh protection in WDM networks. (2 weeks) Latest Trends in Optical Networking: Elements of dynamic and flexible (elastic) optical networking. Passive Optical Network (PoN) TDM-PoN, WDM-PoN. PoN solution to Wireless fronthaul / backhaul, CPRI / OBSAI formats, Open simulation tools like NS3, Omnet++ (2 weeks). | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 88 | EE6505 | Waveguides, Microwave Circuits, and Antennas Review: Maxwell’s Equations, Poynting Theorem, Group and Phase velocity. Transmission Lines. Plane Waves: Cutoffs and reflections in ionosphere. Anisotropic media: Faraday Rotation. Thin films. Introduction to optical filter design. Waveguides: Rectangular and cylindrical waveguides. Dielectric and Surface waveguides. Microwave Networks: Microwave cavities. Scattering matrix, S parameters, reciprocity, coupling energy to a waveguide. Use of Vector Network Analyser to characterise high-speed circuits. Microwave components: Gunn, impatt and varacter diodes, etc and their use in designing RF circuits. Active and passive RF filters. Antennas: Potential functions. Monopole and dipole antennas, Antenna arrays. Yagi, Horn, Parabola, micro strip and patch antennas. Antenna equivalent circuits, Antenna directivity, Gain and Coupling, Impedance, Radiation patterns. Case Studies of RF circuits in mobile phones and satellite communications. Optional Additional Topics: Waveguide couplers, practical RF circuit design, gratings, holography. Non-recoprocal elements such as ferrite components, Isolators and circulators. Frequency-independent antennas, log-periodic antennas, spiral antennas. RF-Id systems. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 89 | EE6506 | Computational Electrogmagnetics Solution of ODEs, Solution of elliptic PDEs - Poisson's Equation, Review of Electromagnetic Theory - including uniqueness and reciprocity, advanced concepts in EM - the scattering problem and the electric field integral equation, solution of hyperbolic PDEs - wave equation, integral equation methods and the method of moments (MoM), finite difference time domain method (FDTD), frequency domain finite element methods (FEM), geometric theory of diffraction (GTD), frequency domain eigen solutions of Maxwell's equations for periodic structures, numerical methods of solving matrix equations | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 90 | EE6700 | Advanced Photonics Laboratory An outline of the different experiments is as follows:1. Designing an LED transceiver circuit 2. Fiber ring laser - Construction and Characterization 3. Study of Four wave mixing in a non-linear fiber 4. Temperature sensing using Raman Scattering 5. Low Coherence Interferometry6. Polarization Microscopy and Verification of the Malus law 7. Coherence length and Linewidth measurement of a Laser 8. Characterization of spectral response of Fiber Bragg Grating | 9 | 0 - 0 - 3 - 0 - 0 - 3 |
| 91 | EE7101 | Directed Study on Research Topics To be decided | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 92 | EE7201 | Directed Study on Research Topics Research topics will be decided by the instructor. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 93 | EE7301 | Directed Study on Research Topics Recent research and technology advances in the VLSI area. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 94 | EE7401 | Directed Study on Research Topics Recent research work in the area selected by the teacher. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 95 | EE7501 | Directed Study on Research Topics To be decided | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 96 | EE6492 | Advanced Topics in Instrumentation Advanced topics in instrumentation. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 97 | EE5142 | Introduction to Information Theory and Coding 1) Entropy, Relative Entropy, and Mutual Information:Entropy, Joint Entropy and Conditional Entropy, Relative Entropy and Mutual Information, Chain Rules, Data-Processing Inequality, Fano’s Inequality 2) Typical Sequences and Asymptotic Equipartition Property:Asymptotic Equipartition Property Theorem, Consequences of the AEP:Data Compression, High-Probability Sets and the Typical Set 3) Source Coding and Data Compression:Kraft Inequality, Huffman Codes, Optimality of Huffman Codes 4) Channel Capacity:Symmetric Channels, Properties of Channel Capacity, Jointly Typical Sequences, Channel Coding Theorem, Fano’s Inequality and the Converse to the Coding Theorem 5) Differential Entropy and Gaussian Channel:Differential Entropy, AEP for Continuous Random Variables, Properties of Differential Entropy, Relative Entropy, and Mutual Information,Coding Theorem for Gaussian Channels 6) Linear Binary Block Codes:Introduction, Generator and Parity-Check Matrices, Repetition and Single-Parity-Check Codes, Binary Hamming Codes, Error Detection withLinear Block Codes, Weight Distribution and Minimum Hamming Distance of a Linear Block Code, Hard-decision and Soft-decision Decoding of Linear Block Codes, Cyclic Codes, Parameters of BCH and RS Codes,Interleaved and Concatenated Codes 7) Convolutional Codes:Encoder Realizations and Classifications, Minimal Encoders, Trellis representation, MLSD and the Viterbi Algorithm, Bit-wise MAP Decoding and the BCJR Algorithm | 12 | 3 - 1 - 0 - 0 - 8 - 0 |
| 98 | EE5120 | Applied Linear Algebra I for EE Linear System of Equations: Gaussian elimination—ehelon forms—existence, uniqueness, and multiplicity of solutions in a system of linear equations.Vector Spaces: Definition—linear dependence and independence—spanning sets, basis, and dimension—definition of subspace—intersection and sum of subspaces—direct sums and embedding of subspaces.Linear Transformations: Definition—matrix representation of a linear transformation—the four fundamental subspaces associated with a linear transformation—system of linear equations revisited—change of bases—similarity transformations—invertible transformations.Inner Products: Definition, induced norm, inequalities, orthogonality—Gram-Schmidt orthogonalization process—orthogonal and rank one projections—unitary transformations and isometry.Eigen Decomposition: Eigenvalues and eigenvectors—Gerschgorin circles—characteristic polynomials and eigenspaces—diagonlizability conditions—invariant subspaces—spectral theorem—Rayleigh quotient. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 99 | EE5176 | Computational Photography 1. Image formation and camera model2. Coded computational imaging: Motion deblurring using coded exposure (flutter shutter), focus deblurring using coded aperture3. Multi-image techniques: Panorama, flash no-flash photography, high dynamic range capture, focal stack, aperture-focus stack4. Light field imaging: Light field acquisition using camera array, lenslet array, programmable coded aperture, heterodyne light field camera. Light field rendering.5. Compressive sensing and dictionary learning: L0-L1 norm equivalence, dictionary learning and sparsity-based reconstruction6. Compressive computational imaging: Single pixel camera, flutter shutter video camera, coded strobing photography, programmable pixel compressive camera, pixel-wise coded exposure, compressive light field, compressive hyper-spectral imaging7. Illumination multiplexing, photometric stereo and structured light | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 100 | EE5212 | Digital Controller for power Applications Theory: Numeric Systems (Fixed and Floating Point Representation), Architecture of DSP’s C2000 , Memory Mapping in DSP, Peripheral Modules, Per Unitization in Power processing systems for digital control, Discretization in Z-domain and its advantages in digital control, Instruction sets in c2000 and its optimal usage for power applications.Lab: Installation, configuration and initialization in C2000, Interfacing with DAC, Interfacing with ADC, generation of saw tooth and triangular waveforms, PWM generation, Understanding digital control of DC DC converters, Generation of sine wave and viewing in DAC, V/f control of Induction motor, Example programs for communication interfaces like I2C interface, RS232 interface, understanding the encoder features in C2000 for drive application. | 9 | 2 - 0 - 3 - 0 - 4 - 0 |
| 101 | EE6261 | Restructured power systems Introduction: Vertically integrated power systems, unbundling, need for deregulation, benefits of deregulation, experience of deregulation in some of the developed countries and Challenges in deregulating electric markets in developing countries. Fundamentals of Economics: Types of market: monopoly, oligopoly and perfect competition. Inverse demand curves, supply curves, market clearing price, social benefit, deadweight loss, long-run and short-run costs. Imperfect competition: Cournot model and Bertrand model. Major Component of Deregulated Electricity Markets: Independent Power Providers (IPP), Independent System Operator (ISO), Transmission System Operator (TSO), distribution companies, retailers. Market Architecture: Bilateral trading, pool trading, Day-ahead markets, spot markets and markets for ancillary services. Hedging through forward contracts, futures and options. Economical Operation of Power Systems Under Deregulation: Economic load dispatch with profit maximization. Location Marginal Price (LMP) based on optimal power flow. Unit commitment: Lagrange relaxation method, mixed integer nonlinear programming (MINLP) and binary PSO. Transmission Pricing and Congestion: Embedded methods, true cost methods based on LMP, congestion rent based on LMP, market power due to congestion, Financial Transmission Rights (FTR), congestion management, Available Transfer Capability (ATC): Concept of ATC, Calculation of ATC. Investment in Generation: Discounted future cash flows, fixed cost recovery, Value of Lost Load (VOLL), regulator price caps for price spikes, optimal installed capacity based on VOLL. Indian Power Markets: Electricity Regulation Act 2003, unbundling the electricity market, power exchanges: operation procedure, rules and regulations, ABT. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 102 | EE5331 | DSP Architectures & Embedded Systems Overview of processors (general-purpose, DSPs), role of performance and metrics. Introduction to Field Programmable Gate Arrays and Hardware Description Languages. Introduction to computer arithmetic for signal processing: Number formats for signal processing appli- cations such as fi xed-point, floating-point, block floating-point; IEEE standard and examples. Algorithms and architectures for basic signal processing operations: Designs for low-delay multi- bit addition including carry lookahead and pre x-style addition; Designs for fast multiplication including Booth's multiplier and variations, Baugh-Wooley multiplier, Canonic signed digit (CSD) representation and CSD multiplier. COordinate Rotation DIgital Computer (CORDIC) for computation of various functions; Extension of CORDIC to cover the full range of angles; Enhancements to CORDIC for low area. Introduction to Distributed Arithmetic (DA): multiplierless solution for dot product evaluation, ROM size reduction via offset binary coding and ROM decomposition, fi lter implementation using DA. Architectures for some transforms arising in signal processing including Discrete Fourier Transform and Discrete Hadamard transform; Direct realization and optimization for area. Systolic Architecture Design: Introduction, systolic array design methodology; Applications to signal processing problems. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 103 | EE6143 | Advanced Topics in Communications Will be stated by the instructor based on the topics chosen | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 104 | EE6152 | Advanced Topics in Networks To be decided | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 105 | EE6010 | Smart Power Grids I INTRODUCTION TO SMART GRID: Evolution of Smart Grid. Need and Benefits of Smart Grid. Divers for Smart grid, functions, opportunities and challenges. Difference between conventional and Smart Grid. Concept of Resilient & Self Healing Grid, Present development & International policies in Smart Grid. II SMART GRID TECHNOLOGIES: Smart Grid Technology Drivers, Renewable energy resources, Smart substations, Substation Automation, Feeder Automation ,Transmission systems: EMS, FACTS and HVDC, Wide area monitoring, Protection and control, Distribution systems: DMS, Volt/VAr control, Fault Detection, Isolation and service restoration, Outage management, High-Efficiency Distribution Transformers, Phase Shifting Transformers, Plug in Hybrid Electric Vehicles (PHEV). III SMART METERS AND ADVANCED METERING INFRASTRUCTURE: Introduction to Smart Meters, Advanced Metering infrastructure (AMI) drivers and benefits, AMI protocols and standards, AMI needs in the smart grid, Phasor Measurement Unit (PMU), Intelligent Electronic Devices(IED) & their applications. IV POWER QUALITY MANAGEMENT IN SMART GRID : Power Quality in Smart Grid, Power Quality issues of Grid connected Renewable Energy Sources, Power Quality Conditioners for Smart Grid, Web based Power Quality monitoring, Power Quality Audit. V SMART GRID COMMUNICATIONS: Local Area Network (LAN), House Area Network (HAN), Wide Area Network (WAN), Broadband over Power line (BPL), IP based Protocols, Wireless Sensor Networks (WSNs) Cyber Security for Smart Grid. VI DATA ANALYTICS IN SMART GRIDS: Data Analytics, Foundations, Big Data Management, Analytical Models in Utility, Predictive Analysis and Prescriptive Analysis, Operational Analytics. etc. Applications in Energy Forecasting, Demand response and Energy Analytics, case study in Hadoop and R. VII SMART GRID APPLICATIONS: Demand Side Management, Load Management, State Estimation, Energy Management and Conservation, Smart Grid Analytics, Data Mining and Clustering. Etc. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 106 | IG6001 | GIAN 151003D01: Millimeter Wave Integrated Circuits: 60GHz and Beyond o Introduction to mmWave systems and applications. o Si-based devices for mmWave (Modern SiGe and CMOS technologies, fT, fmax, current- density scaling, large-signal models). o Si-based passive devices (Inductors, capacitors, resonators, transformers, transmission lines, impact of BEOL). o mmWave amplifier design (Max. available gain, max. unilateral gain, cascade vs. cascode) o mmWave and microwave low-noise amplifier design (CS, CB, NFmin, Yopt, noise circles). o mmWave power-amplifier design (Class A-F, load-pull, efficiency/output power circles, impedance transformation and power combining). o mmWave mixers for frequency translation. o mmWave VCOs (LC oscillators, standing-wave oscillators, push-push and distributed oscillators). o Oscillator phase-noise theory and its impact on mmWave VCO design. o Injection locking, injection pulling and coupled oscillators. o mmWave frequency synthesis (Regenerative dividers, injection locked dividers, mmWave PLLs). o Phased arrays and multiple-antenna systems (Architectures, phase-shifter circuits). | 6 | 2 - 0 - 0 - 0 - 4 - 6 |
| 107 | EE6021 | Introduction to Research Part A Metaphysical Aspects of Engineering Research: Role of skill sets, aptitudes, intelligence (IQ), experience, memory retention capabilities on the performance of an engineering researcher apart from his/ her attitude, determination, ambition and hard work on the same. Psychological, ethical aspects of engineering research and human relationships in R&D, teaching institutes. Presentation skills oral & paper publications. Part B: Nature of Mathematics and Natural Sciences: Main components of mathematics, viz, logic, reasoning, quantification, conjectures, theorems, lemmas and their application to real world (engineering) problems through modeling. Attributes of natural sciences and scientific methodologies: Experimental methods (design of experiments), observation, measurements (& errors), inference, theory explaining the experimental facts (hypothesis) and consistency and empirical formulae. Subtle relationships between mathematics and science and engineering Part C: Issues in Practical Engineering R & D. Mathematical modelling, justification, data analysis, visualization techniques and safety in R & D labs. Part D: Research Program Phases & Management: Course work, identification of a research problem, literature survey, organization of research ideas, contribution, thesis, technical paper, monograph writing and elements of an engineering research proposal. | 0 | 3 - 0 - 0 - 0 - 6 - 9 |
| 108 | EE7041 | Biomedical Engineering 1.) Introduction to circulatory physiology I2.) Introduction to circulatory physiology II3.) Heart pacemakers and implanted defibrillators I4.) Heart pacemakers and implanted defibrillators II5.) Ventricular assist devices (VADs) and total artificial hearts (TAHs)6.) Introduction to lung physiology and pathophysiology I7.) Introduction to lung physiology and pathophysiology II8.) Artificial Ventilators9.) Extracorporeal Membrane Oxygenators (ECMO devices)10.) Anaesthesia devices I11.) Anaesthesia devices II12.) Introduction to cerebrospinal fluid (CSF) physiology and to hydrocephalus therapy13.) Introduction to glucose metabolism and the pathophysiology of diabetes mellitus including14.) Introduction to renal physiology15.) Dialysis machines16.) Modalities for noncontact cardiovascular monitoring (capacitive ECG, magnetic impedance)17.) Dynamics of blood flow18.) Invasive measurement of constituents of blood19.) Optical sensors for the measurement of venous blood flow dynamics20.) Measurement of oxygen saturation in arterial blood21.) An analytical model for the attenuation light in optical sensors 22.) Calibration free measurement of venous blood flow dynamics23.) Model based measurement of oxygen saturation in arterial blood24.) Model based measurement of hemoglobin content in arterial blood25.) Fundamentals of ocular system26.) Ailments and treatments in ocular system 27.) The cataract surgery and opthalmic anaesthesia28.) Opthalmic anaesthesia training system | 6 | 2 - 0 - 0 - 0 - 4 - 0 |
| 109 | EE2015 | Electric Circuits & Networks Current and voltage, I-V relationship for ideal sources, R, C, L, M, controlled sources in time and Laplace/frequency domain, complex impedance and admittance. Nodal and Mesh Analysis in time and Laplace domain, Superposition, Transient analysis of electrical networks, Time-domain response of 1st and 2nd order RC, RL and RLC circuits, frequency response, Bode plots, poles and zeros. Sinusoidal steady state analysis, phasors, response to periodic inputs, power and energy. Thevenin and Norton equivalents Linear two port networks and network theorems Complex power Quality factor, locus diagrams 3-phase systems | 11 | 3 - 1 - 0 - 1 - 6 - 0 |
| 110 | EE2016 | Microprocessor Theory+Lab Concept of a bus. Registers as fast memory. address and data buses. Latency and throughput Caching memory accesses. Cache algorithms. Multilevel caches. Interrupt processing. CPU communication with peripherals. Impact on execution speed DMA Overview of the design of the ARM archetecture Introduction to ARM assembly language The lab experiments will introduce students to assembly language programming and embedded programming. Students will create embedded programs on an ARM processor to generate analog traces, control motors, interface to peripherals and use of the I2C bus. Advanced experiments may explore performance issues. | 12 | 2 - 0 - 3 - 0 - 7 - 12 |
| 111 | EE6013 | GIAN151003D03: Coherent Optical Communication 1. Optical Communication- Physical Layer a. Introduction to optical communication b. Advanced modulation formats -generation c. Coherent detection d. Impairments in coherent communciation systems e. Noise in the detectors, quantum limit, BER analysis 2. Signal processing for advanced modulation formats a. Clock recovery and timing error correction b. Phase noise and freq offset compensation c. Dispersion compensation d. Polarisation demultiplexing and PMD compensation 3. Coherent techniques in Optical networks a. Introduction to optical networks – long haul, back bone, metro/access networks b. Wavelength division multiplexed systems c. Optical switching and routing d. Advanced modulation formats in optical networks –back bone and metro networks networks e. Advanced modulation formats in access networks - Passive optical networks f. Elastic 4. Current research systems (2 Lectures- Liam Barry) a. Optical OFDM systems b. Other research systems 5. Computer simulation modules a. Characterization of optical communication system b. Digital signal processing of advanced modulation formats | 6 | 6 - - - - - |
| 112 | EE5154 | Complex Network Analysis 1. Introduction: motivation, examples of networks, review of basic graph theory2. Mathematics of networks: network representations, measures and metrics (centrality measures, homophily,)3. Network algorithms: community and cluster detection, graph partitioning, spectral methods4. Network models: random graph models (Poisson networks, small world networks,), growing random networks (preferential attachment, assortativity,)5. Diffusion through networks: spread of information and epidemics (percolation, models of diffusion), searching and learning in networks | 12 | 4 - 0 - 0 - 0 - 8 - 0 |
| 113 | EE6132 | Advanced Topics in Signal Processing Will be stated by the instructor based on the topics chosen | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 114 | EE1103 | Numerical Methods Numerical methods involving methods for finding the roots of an equation (bisection, Newton-Raphson), solutions to ordinary differential equations (Euler, Runge-Kutta, explicit and implicit methods), matrix methods (Gauss elimination, LU decomposition), interpolation (linear, cubic spline), and iterative methods. Case studies from engineering disciplines will be used to illustrate the applicability of these methods, with a discussion on sources of numerical errors. | 12 | 3 - 0 - 3 - 0 - 6 - 12 |
| 115 | EE6262 | Advanced Motor Control Induction Motor Drives Vector Control: Machine equations – indirect vector, direct vector control, estimation of flux vectors, current and voltage methods. DTC/DSC and their triggering strategies – with and without sector identification. Sensorless control of Induction Machines – methods of speed identification. Position estimation by signal injection Rotor Controlled induction machines – theory of power flow and control of rotor side converters BLDC drives Theory of operation of machine and bridge – triggering based on hall sensors – Control loop – sensorless control methods. PMSM drives Modelling of PMSM machines. Vector control of PMSM drives – performance characteristics – flux weakening for extending speed range. Sensorless control of PMSM drives Switched Reluctance Motor drives Introduction to the machine and controller structure – determination of inductance variations and torque performance. | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 116 | EE6511 | Distributed Fiber Sensors and its Applications I. Fundamentals of Fiber optics 1. Modes in optical fiber, attenuation and dispersion 2. Optical sources and receivers – noise analysis II. Optical fiber sensors 1. Typical configuration 2. Amplitude/Phase/Wavelength/Polarization modulated sensors III. Distributed fiber sensors (3 sessions – Balaji Srinivasan) 1. Fundamentals of OTDR/OFDR 2. SNR improvement IV. Distributed sensing mechanisms (3 sessions – Luc Thevenaz) 1. Elastic/inelastic scattering – Rayleigh, Raman and Brillouin 2. Strain/temperature sensitivity V. Advanced concepts 1. Specific case studies 2. Long range sensing using BOTDA 3. Key issues for increasing number of measuring points 4. High spatial resolution sensing using BOCDA 5. Limitations and mitigating configurations VI. Applications and Future Prospects | 6 | 2 - 0 - 0 - 0 - 4 - 0 |
| 117 | EE6509 | Fiber Lasers and Applications I. Fundamentals of Fiber Amplifiers 1. Stimulated emission and amplification of light 2. Rare-earth doped fiber systems (Er and Yb) 3. Three-level and four-level systems 4. Population inversion and gain 5. Basic configuration of a fiber amplifier II. Fiber laser characteristics 1. Resonators, fiber resonators 2. Threshold and slope efficiency 3. Gain bandwidth and tunability 4. Case Study – EDFL and YDFL 5. Pulsed fiber lasers – mode-locking and Q-switching III. Power Scaling of Fiber Lasers 1. Double-clad fiber technology 2. Design considerations for double-clad fiber lasers 3. Power limitation due to nonlinearities/thermal mode instability 4. Mitigation techniques 5. Chirped pulse amplification of ultrashort pulses 6. Beam combining techniques IV. Applications of Fiber Lasers 1. Healthcare 2. Material Processing | 6 | 2 - 0 - 0 - 0 - 4 - 0 |
| 118 | EE6350 | Analysis of noise in systems Review of random processes: Basice random processes, Time and ensemble averages, ergodicity, stationary, cyclostationary and non-stationary processes, spectral density.Modelling of thermal noise, shot noise, random telegraph noise, 1/f noise and quantization noiseResponse of linear time-invariant and time-varying circuits and systems to random inputs, signal to noise ratio, noise figure, effect of quantization noise on signal processing systems.Phase noise in oscillators, noise in PLLs, analysis of timing jitter in data converters | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 119 | EE5351 | Linear Algebra Techniques for data analysis and modelling Vector spaces, spaces associated with a matrix, linear transformations, similarity transformations.Solution of linear system of equations, LU and QR decomposition, orthogonal and oblique projections, pseudo-inverse,singular value decomposition.Applications to data analysis: Regression, Principal component analysis, factor analysis, linear discriminant analysis, compressed sensing.Application to modelling: System identification, dimensionality reduction of a system of differential equations, Krylov subspace techniques, data-driven modelling. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 120 | EE2005 | Electrical Machines and Lab Course Contents (Theory): Review of magnetic circuits; Transformers: construction, equivalent circuit, parameter estimation – no-load and short circuit tests, regulation, parallel operation, per-unit notation, three-phase transformers: construction and operation. Autotransformers. DC Machines: construction and principles of operation, equivalent circuit, performance equations, generator and motor operation, series/shunt connections, speed-torque curves, principles of speed control as motor. Induction machines: construction and principles of operation, equivalent circuit, parameter estimation – no-load and blocked rotor tests, speed-torque curves, principles of speed control, elements of generator operation, performance assessment. Synchronous machines: construction and principles of operation, equivalent circuit, parameter estimation, armature reaction, performance assessment, regulation, synchronization and grid connected operation of cylindrical rotor machines Course Contents (Lab): Experiments to relate the theory and practice dealing with transformers, DC Machines, Induction Machines and Synchronous Machines. | 15 | 3 - 1 - 3 - 1 - 7 - 15 |
| 121 | EE2703 | Applied Programming Lab * Introduction to Scientific Python * Least Squares * Simulating in time - Tubelight * Simulating a device - Laplace's equation, ampere's law * Using the system module to solve for step and impulse response of op-amp circuits * Using the DFT to obtain steady state response of linear (and op-amp) circuits * Simulating noise in circuits * Low pass filtering of signals using digital filters. Effect on SNR | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 122 | EE5177 | Machine Learning for Computer Vision 1. Probability: Common probability distributions such as Gaussian, Bernoulli, Dirichlet, etc.. Fitting probability models.2. Machine Learning models and inference:Regression models such as linear regression, Bayesian regression, nonlinear regression, sparse linear regression.Classification models such as logistic regression, support vector machine, relevance vector machine, classification tree.3. Graphical models:Directed and undirected graphical models; models for trees; Markov random fields; Conditional Markov fields.4. Image pre-processing:Per-pixel transformation; interest point detection and description; dimensionality reduction.5. Multi-view geometry:Pinhole camera; single view geometry; Projective transformation; Stereo and epipolar geometry; Multi-view reconstruction6. Models for vision:Models for shape; Models for style and identity; temporal models; models for visual words | 12 | 3 - 1 - 0 - 0 - 8 - 0 |
| 123 | EE2019 | Analog Systems and Lab Basics of operational amplifier, op-amp based building blocks, linear and non-linear system, feedback theory, negative/positive feedback, stability criterion, bode plot with gain and phase margin, compensation, passive and active-RC analog filters, RLC filters, voltage and current regulators, pulse width modulation, AC coupling input and output and oscillators. | 17 | 3 - 1 - 3 - 1 - 10 - 17 |
| 124 | EE6324 | Phase-Locked Loops System and circuit level realization of analog and digital integer-N phase-locked loops (PLL). Frequency acquisition in PLLs. Analog and digital implementation of building blocks including phase/frequency detectors, charge-pump, LC/ring-oscillators, multi-modulus frequency dividers, active/passive loop filter, etc. Supply regulation of frequency synthesizers. Narrowband signal modulation within frequency synthesis loop. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 125 | EE4502 | Optics for Engineers 1. Basic Optics Geometric Optics Gaussian Optics 2. Advanced topics in optical engineering Diffractive Optics and holography Interferometry Adaptive Optics 3. Opto-electronic applications with details of working. Barcode readers Finger print sensors Pick-up heads used in DVD/CD players Biomedical instrumentation Interferometers for metrology Sensors Holographic data storage 4. Lab Content Optical System Design using OSLO® Simulation lab/Experiments with interferometry, diffractive optics, etc | 12 | 2 - 0 - 3 - 0 - 7 - 12 |
| 126 | EE1101 | Signals and Systems 1. Signals (continuous-time): Signal classification (analog-digital, energy-power, even-odd, periodic-aperiodic, deterministic-random etc.), standard signals (unit step, unit impulse, ramp, exponential, sinusoids), transformations of the independent variable (4 classes)2. Systems (continuous-time): System classification (memory, causal, stable, linear, time-invariant, invertible etc.), Impulse response of an LTI system, convolution integral, graphical convolution, system properties from impulse response, complex exponential as eigenfunction of LTI systems, interconnection of LTI systems (6 classes)3. Discrete-time signals and systems: Emphasize similarities and differences with continuous-time counterpart (3 classes)4. Continuous-time Fourier series: Periodic signals and their properties, exponential and trigonometric FS representation of periodic signals, convergence, FS of standard periodic signals, salient properties of Fourier series, FS and LTI systems, some applications of FS (eg. filtering) (6 classes)5. Continuous-time Fourier transform: Development of Fourier representation of aperiodic signals, convergence, FT of standard signals, FT of periodic signals, properties of FT, some applications of FT (eg. modulation) (6 classes)6. Laplace Transform: Bilateral Laplace transform, region of convergence, properties of Laplace transform, standard Laplace transform pairs, transfer function of LTI system, characterising LTI system properties from transfer function, algebra of transfer functions and block diagram representations, Unilateral Laplace transform – brief introduction and application to simple initial value problems (8 classes)7. Sampling (Bridge continuous and discrete): Sampling theorem and signal reconstruction, notion of aliasing with examples, Sampling in frequency domain (5 classes) | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 127 | EE5325 | Power Management Integrated Circuits Unit-1: Introduction to Power Management and Voltage RegulatorsNeed of power management, power management applications, classification of power management, power delivery of a VLSI system, power conversion, discrete vs. integrated power management, types of voltage regulators (switching Vs linear regulators) and applications, converter’s performance parameters (voltage accuracy, power conversion efficiency, load regulation, line regulation, line and load transient response, settling time, voltage tracking), local Vs remote feedback, kelvin sensing, Point-of-Load (POL) regulators.Unit-2: Linear RegulatorsLow Drop-Out Regulator (LDO), Source and sink regulators, shunt regulator, pass transistor, error amplifier, small signal and stability analysis, compensation techniques, current limiting, power supply rejection ratio (PSRR), NMOS vs. PMOS regulator, current regulator.Unit-3: Switching DC-DC Converters and Control TechniquesTypes (Buck, boost, buck-boost), power FETs, choosing L and C, PWM modulation, leading, trailing and dual edge modulation, Losses in switching converters, output ripple, voltage Vs current mode control, CCM and DCM modes, small signal model of dc-dc converter, loop gain analysis of un-compensated dc-dc converter, type-I, type-II and type-III compensation, compensation of a voltage mode dc-dc converter, compensation of a current mode dc-dc converter, hysteretic control, switched capacitor dc-dc converters.Unit-4:Top-down Design Approach of a DC-DC ConverterSelecting topology, selecting switching frequency and external components, sizing power FETs, segmented power FET, designing gate driver, PWM modulator, error amplifier, oscillator, ramp generator, feedback resistors, current sensing, PFM/PSM mode for light load, effect of parasitic on reliability and performance, current limit and short circuit protection, soft start control, chip level layout and placement guidelines, board level layout guidelines, EMI considerations.Unit-5: Introduction to Advanced Topics in Power ManagementDigitally controlled dc-dc converters, digitally controlled LDOs, adaptive compensation, dynamic voltage scaling (DVS), Single-Inductor Multiple-Outputs (SIMO) Converters, dc-dc converters for LED lighting, Li-ion battery charging circuits. | 12 | 4 - 0 - 0 - 0 - 8 - 0 |
| 128 | EE6325 | Advanced Power Management Systems Unit-1: Battery Charger and Management SystemBattery types – Li-ion, Li-polymer, NiMh, NiCd, lead acid, battery profiles and electrical models, battery capacity, battery ID resistor, Linear Vs Switched mode chargers, charging modes-trickle charging, constant current charging, constant voltage charging, fast charging, pulse charging, wireless charging, battery insertion/removal detection, under-voltage (UV) and over-voltage (OV) detection, end of charge (EoC) estimation, battery ESR estimation, battery open circuit voltage (OCV), battery state of charge (SoC), coulomb counting, voltage and current measurement, temperature measurement, voltage mode fuel gauge, estimation of battery time constant.Unit-2: Energy Harvesting for IoTApplications of energy harvesting (wearables, remote sensing, biomedical, structural health monitoring, wireless charging), energy sources (RF, solar, thermal, mechanical), PV cells, thermoelectric generator, piezo vibrator, maximum power point tracking, low power AC-DC converter, capacitive charge-pump, design of ultra low power controller for dc-dc converters, low power LDOs and voltage/current reference circuits, burst mode/duty cycling for low power operation.Unit-3: High Performance DC-DC ConvertersEnvelope tracking power supplies, ripple cancellation/reduction techniques, EMI reduction techniques (spread spectrum, frequency hopping), hybrid linear and switching regulators, multi-phase switching converters, converters with coupled inductors, auto-tunable dc-dc converters, fixed frequency hysteretic converters.Unit-4: Power Management for Lighting and Display ApplicationsTypes of LEDs, LED characteristics and electrical model, LED drivers and applications, LED drivers for camera flash, LCD power supplies, AMOLED display supplies, LED drivers for display backlight, effect of LED mismatch on display, flickering, LED drivers for home lighting, RGB LED drivers, analog and digital dimming.Unit-5: Power Management for Haptics and Motor DrivesTypes of motors (DC, Stepper, BLDC, Linear/Resonant) and electrical models, H-Bridge driver, PWM Vs. Linear driver, differential and singled ended driver, sensor-less drive, back EMF sensing techniques, overdrive and braking, short and open circuit detection. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 129 | EE6403 | Transducers Transducers and their characteristics: Definition of terminologies – Generalized performance characteristics – range – resolution – linearity – overload factor – accuracy – precision – static and dynamic – rise time – fall time – settling time– slew rate – frequency response – bandwidth – modelling – Classification – ingress protection – vibration isolation – passive – active.Resistive Transducers: Resistance potentiometer – noise – resolution – signal conditioning – strain gauges – associated electrical circuitry – temperature compensation – load cells – torque and pressure measurement using strain gauges –resistive temperature device (RTD) – three-lead arrangement – thermistors – linearization - hot-wire anemometers – time constant improvement – measurement of direction of flow – peizo resistive transducers.5 Experiments on signal conditioning applied to transducersInductive Transducers: Self-inductance transducers – transverse armature and plunger type – sensitivity and linearity – signal conditioning circuits – choice of components – linear variable differential transducer (LVDT) – lead and lag compensation.Capacitive Transducers: Single – push-pull – angle transducer – humidity sensor – parasitic effects – solutions – signal conditioning circuits.Miscellaneous transducers: Peizo electric – signal conditioning – thermo couples – theory – mass-spring accelerometer – force-balance.Applications of transducers: Measurement of displacement (linear and angular) – velocity – acceleration – force – torque – pressure – flow – temperature. | 12 | 3 - 0 - 3 - 0 - 6 - 12 |
| 130 | EE5413 | Linear Dynamical Systems 1. Models of physical and biological systems-- simple pendulum, segway scooter, consensu protocols for sensor networks, gene regulatory networks2. Equilibrium/operating points, Jacobian linearization3. Relative degree, diffeomorphism, input/output linearization of nonlinear systems4. Minimal realization, Smith-McMillan form5. Continuous-time linear time-varying/time-invariant (LTV/LTI) state-space models, Peono-Baker series, matrix exponentials, similarity transformations, Jordan normal form, algebriac and geometric multiplicity, minimal polynomial6. Reachable and controllable subspaces, Controllability and observability Gramians, Kalman and Popov-Belevitch-Hautus (PBH) test for controllability and observability, Controllable and observable canonical forms7. Stabilizability and detectability, Kalman canonical decomposition, Review of matrix theory--matrix norms, positive/negative definiteness8. Lyapunov stability, Lyapunov equation, Eigenvalue conditions for Lyapunov stability, Separation principle, pole-placement and observer design9. Linear optimal control techniques, Linear quadratic regulator (LQR), the algebraic Riccati equation. | 12 | 4 - 0 - 0 - 0 - 8 - 0 |
| 131 | EE6412 | Optimal Control 1.Review of state-space representation of systems2. Introduction to Optimization- Unconstrained and constrained optimization, Karush-Kuhn-Tucker (KKT) conditions3. Calculus of variations-Examples of variational problems, Brachistochrone, Catenary etc., Cost functionals, extremals, Weak and strong extrema, First-order necessary conditions for weak extrema--Euler-Lagrange equations, Hamiltonian formalism and mechanics, Variational problems with constraints, Second-order conditions-Legendre's condition, Weierstrass-Erdmann corner conditions, Weierstrass excess function4. Optimal control problem formulations- Variational approach to the fixed-time, free-endpoint problem5. Pontryagin maximum principle- Proof of the maximum principle, Time-optimal control of double integrator, Bang-bang control6. Hamiltonian-Jacobi Bellman (HJB) equation-principle of optimality, Sufficient condition for optimality7. Linear quadratic regulator (LQR) problem- candidate optimal feedback law, Riccati differential equation, proof of sufficiency using HJB equation8. Numerical methods for optimal control problems- Evaluation of parameter-dependent functionals and their gradients, Indirect methods, Direct methods, 9. Applications- Time-optimal control of linear systems, Singular control, Optimal control to target curves | 12 | 3 - 1 - 0 - 0 - 8 - 0 |
| 132 | EE5161 | Modern Coding Theory 1. Linear Block Codes (Review)Definition and properties, minimum distance, channel models, Optimal hard and soft decision decoding in Gaussian channels, Bitwise MAP decoders, Approximate bitwise MAP decoders 2. Convolutional Codes: Definition and properties, trellis structure, Recursive and non-recursive encoders, free distance, Maximum likelihood decoding in Gaussian channels (Viterbi decoder) BCJR decoding (MAP) and max-log-MAP approximations 3. Low Density Parity Check (LDPC) Codes, Definition and construction, degree distributions, regular and irregular ensembles, Hard and soft message-passing decoders, peeling decoder, bit flipping and sum product algorithms, and approximations, Computation trees, density evolution and threshold for symmetric channels, EXIT charts and optimization of degree distribution 4. Turbo Codes: Definition and construction, Turbo encoder and interleaver, Turbo decoder Ensemble distance properties EXIT charts for turbo codes, Turbo code design 5. Advanced topics (A selection will be covered) Repeat accumulate (RA) codes: Definition and construction, regular and irregular RA codes, decoding RA codes, Polar Codes: Definition and construction, Encoding and decoding of polar codes, Capacity-approaching property of polar codes, Protograph LDPC codes : Definition and construction, decoding and vector density evolution, Spatially coupled LDPC codes: Definition and construction, decoding and threshold saturation property, Linear programming decoding of block codes, Coding for distributed storage, Codes in standards and codec implementations, Other applications of coding theory | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 133 | EE5160 | Error Control Coding 1. Mathematical Preliminaries: Groups, rings, fields, vector spaces, linear algebra review, Finite fields: construction, structure of fields, polynomials over finite fields, minimal polynomials, factorization of polynomials 2. Linear block codes: Generator and parity check matrices, dual code, distance of a code.Decoding linear codes: MAP decoder, ML decoder, standard array and syndrome decoding, bounded distance decoder.Bounds on codes: Singleton, Hamming, Plotkin, Gilbert-Varshamov bounds and asymptotic bounds, Weight enumerators, MacWilliams relation for binary block codes, Code constructions: puncturing, extending, shortening, direct sum, product construction, interleaving, concatenation, Performance of block codes 3. Important algebraic block codes: Cyclic codes, BCH codes, Reed-Solomon codes, Reed-Muller codes and Hamming codes, Berlekamp-Massey algorithm for decoding BCH and Reed-Solomon codes 4. Convolutional codes, Various formulations of convolutional codes using shift registers, generator sequences, polynomials, and matrices, recursive and non recursive encoders, Code parameters: constraint length, memory, free distance, Structural properties of convolutional codes: state diagram, trellis diagram, non-catastrophic encoders, weight enumerators, Decoding convolutional codes: Viterbi and BCJR algorithms, hard decision and soft decision decoding, Performance of convolutional codes 5. Capacity achieving codes: LDPC codes: Tanner graphs, Low density parity check (LDPC) codes, iterative decoding, bit flipping and sum product algorithmsIntroduction to turbo codes | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 134 | EE8008 | GIAN 61003D01: Advanced Group-IV Semiconductor Electronic and Optoelectronic devices - Introduction and review of quantum mechanics (2 lectures)Fundamental equations of quantum mechanicsCalculation of tunnelling currents- Advanced group-IV-materials: Ge-, SiGeSn- and GeSn-alloys (2 lectures)Basic principles of group-IV-heterostructure fabrication (strain, defects, virtual substrates) Manufacturing and properties of Ge-, SiGeSn- and GeSn-alloys - Group-IV-based devices for end of the roadmap and beyond CMOS (7 lectures)Tunnel field effect transistors: operating principle, device physics, state of the art devices and current challengesBasic description of electron spin and magnetismSpintronic devices: memory devices, Spin-FETs, nanomagnetic logic and all-spin logic - GeSn- and SiGeSn-based optoelectronic devices (3 lectures)Basics of optoelectronic devices Role of quantum mechanical confinement State-of-the art bulk and quantum-well GeSn- and SiGeSn-devices | 3 | 3 - 0 - 0 - 0 - 0 - 3 |
| 135 | EE8009 | GIAN 161003D03- Silicon Photonics: Linear, Nonlinear, and Quantum Integrated Photonics Devices and Circuits 1. Electronic and optical properties of silicon, convergence of CMOS electronics and photonics 2. Single-mode and multimode waveguide design in SOI substrate; polarization and dispersion effects 3. Orthogonality condition, coupled mode theory and multimode interference (MMI) 4. Design and working principle of MMI based power splitter, directional coupler (DC), and distributed Bragg reflector (DBR) 5. Design and working principle of Mach-Zehnder interferometer (MZI) and microring resonator (MRR) 6. Fiber-waveguide interface : grating coupler, spot-size converter and waveguide trimming 7. Thermo-optic and plasma-optic tuning: integration of microheater and p-i-n/p-n phase-shifters 8. Design and working principles of modulators, switches, tunable filters, variable optical attenuator (VOA) 9. III-V integration for light sources: state of the art technology and implementation 10. Hybrid integration of photodetectors: state of the art technology and implementation 11. Waveguide-integrated junction linear and avalanche photodetectors. 12. Advanced review of guided-wave light propagation in high index contrast waveguides. 13. Nonlinear effects in silicon photonics. 14. Four-wave mixing, wavelength conversion, two-photon absorption and free-carrier induced limitations; carrier sweepout for partial improvement. 15. Nonlinear effects in micro-resonators; slow and fast light effects; enhancements and impairments. Frequency comb generation. 16. Raman effect, Brillouin effect, coupling to electronic (carrier) and thermal effects. Amplitude-phase coupling in wavelength conversion and in hybrid lasers. 17. Introduction to quantum photonics and the role played by solid-state materials. Photon generation, qubit manipulation and detection technologies. 18. Continued discussion of photon generation, qubit manipulation and detection technologies. 19. Emerging applications (Devices & Systems) | 6 | 6 - 0 - 0 - 0 - 0 - 0 |
| 136 | EE8007 | GIAN :Microwave Photonics- Technologies, Systems and Networks Part I (Week 1) - Fundamentals of Microwave Photonic Systems (1) Lightwave – Microwave Interactions – Basic Principles [ 1 Lecture] (2) Electro-Optic Systems – Building Blocks of Microwave Photonic Systems incorporating introduction to optical sources, photodetectors, electro-optical modulation, optical gain, optical modulation – intensity and phase, linearity, signal to noise ratio, intermodulation, crosstalk [7 Lectures] (3) Microwave Photonic Systems – Antenna Remoting – Radio over Fibre and other signal transport schemes, Photonics Signal Processing of Microwave Signals, Photonic Beam Forming Techniques [7 Lectures] Part II (Week2) – Microwave Photonics Based Approaches towards Optical-Wireless Convergence (1) Mobile Broadband: - understanding current network and system architectures and requirements, network evolution and future requirements [ 2 Lectures] (2) Mobile Networks – a system architecture, basestations, distributed antenna systems, fronthaul and backhaul and performance requirements [2 lectures] (3) Optical systems for networking of mobile basestations – system requirements, key photonic technologies, optical transport of wireless signals, system architectures and developments including CPRI – optical interface used by industry in current 3G/4G systems [6 Lectures] (4) Optical networks – basic PON and wavelength division multiplexed network architectures for interconnecting antenna base-stations [2 Lectures] (5) Optical Networking of Wireless Networks – basic planning constraints, an optimisation framework and a case study of small cell deployment and design. [3 Lectures] | 6 | 6 - 0 - 0 - 0 - 0 - 0 |
| 137 | EE7500 | Advanced Topics in RF and Photonics To be decided | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 138 | EE6265 | Power System Operation and Planning I. Power System Operation Economic Studies: Economic Operation, Economic Dispatch Unit Commitment Concepts and Solution Methods, Cost Based Operation and Price Based Operational Studies. Operational Studies: Operating States of Power System, Security Studies, Operation under Emergencies, Power System Operation and Restorative Strategies, Optimal Economic Operation under restructured and deregulated power system Recent Developments: Availability Based Tariff (ABT), Unscheduled Interchange (UI) and Calculation, Indian Power Exchanges, IEX, PXIL, II. Power System Planning Basic Principles of Power Systems Planning, Issues in Planning, Economic Principles, Load / Price Forecasting: Classification of Electric Load Forecasting, Forecasting Perspectives and Drivers, Methods of Forecasting, Time Series, Regression Methods, Wind Power Forecasting, Solar irradiation forecasting. , Dynamic Pricing and Real time Price Forecasting. Electricity Price Forecasting, Price Volatility, Methods of forecasting Demand Side Management: Concepts and Characteristics of Demand Side Management, Benefits and Implementation, Evaluation of DSM Alternatives, System Expansion Studies: Generation Expansion Planning (GEP), Transmission Expansion Planning (TEP), Distribution Expansion Planning (DEP), Substation, Expansion Planning (SEP), Network Expansion Planning (NEP), Reactive Power Planning (RPP), Integrated Resource Planning: Integration of renewable Energy Sources, Supply and Demand Interaction, Pricing of renewable energy, Power System Planning under uncertainties. Planning Tools: Data Collection Decision Support Analysis and Decision Aiding Tools, Strategic Planning, Financial Analysis tools, Computational Methods, ARMA, GAMS. Wein Automatic System Planning (WASP) Package for Power system Planning. | 9 | 3 - 0 - 0 - 0 - 0 - 0 |
| 139 | EE5262 | Distributed Generation and Microgrid Systems Introduction to AC and DC microgrid systems, distributed generation consisting of AC and DC type renewable energy sources (RES) with a focus on photo voltaic and wind energy systems, their modeling, analysis, design and applications in microgrid connected systems. Maximum power extraction schemes for the RES, application of AC-DC, DC-DC converters for extracting maximum power and their integration with common DC bus. Storage systems consisting of battery, supercapacitors, their modeling, analysis, design and applications in microgrid, integration of storage system with the DC grid using bidirectional DC-DC converters. DC and AC grid integration using voltage source converters (VSC), control strategies for VSC to operate it in standalone or grid connected mode, power flow, energy management systems and power quality issues in microgrid systems. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 140 | EE6500 | Integrated Optoelectronics Devices and Circuits (i) Introduction: Generic Optical Systems and Fundamental Building Blocks; (ii) Basics of Semiconductor Optoelectronics: Elemental and Compound Semiconductors; (iii) Electronic Properties and Optical Processes in Semiconductors; (iv) P-N Junction Theory, LEDs and Photodetectors; (v) Heterostructures, Confinement of Electron Waves, Optical Waveguides and Guided Modes; (vi) Semiconductor Optical Amplifiers and Fabry-Perot Lasers; (vii) Coupled Mode Theory, DBR and DFB Lasers; (viii) Silicon Photonics: Integrated Optical Passive and Active Components; (ix) Tunable Filters, Delay-Lines and Switching Circuits in SOI Platform; (x) CMOS Technology: Electrical vs. Optical Interconnects | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 141 | EP3200 | Photonics Introduction to some photonic systems: LIGO, fiber optic communication systems Review of classical properties of light: Reflection, refraction, dispersion, interference, polarization Coherence, Gaussian Beam Optics, Fabry Perot Resonators The Photon and its properties Light sources: Principles of light-matter interaction- absorption, emission, Simple rate equation modelling of lasers: gain, saturation, amplifiers, Semiconductor lasers, Noise in Laser Diode Detectors: Working principle of photomultiplier tubes, PIN/APD diodes, Noise in detectors Optical Fibres: Ray approach to fibre optics, extension to modes, Propagation of light in fibers- attenuation, dispersion Photonics in different Engineering Applications: Plasmonics, Optical sensors, Photonic Integrated Circuits | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 142 | EE8011 | GIAN161003D05: Computational Techniques for Frequency-domain and Perturbation Analysis of Electronic and Multi-Physics Systems Course overview, introduction to MAPP, and AC analysis. Eigenanalysis. Programming your own analysis in MAPP. Sensitivity analysis. Stationary noise in linear(ized) systems. Noise (contd). Simulation of oscillatory systems. Steady state methods, distortion. | 3 | 3 - 0 - 3 - 0 - 0 - 0 |
| 143 | EE8010 | GIAN161003D04: Fundamentals of Numerical Modelling and Simulation of Multi-Physics and Multi-Domain Systems Governing equations, automated generation of systems of equations Numerical solution of linear algebraic equations Numerical solution of nonlinear algebraic equations Numerical solution of ordinary differential equations | 3 | 3 - 0 - 3 - 0 - 0 - 0 |
| 144 | EE8012 | GIAN161003D06: Near/sub-threshold circuits and architectures for microprocessors Motivations; near/sub-threshold voltage circuits; transistor characteristics in near/sub-threshold voltages Gate-level design; standard-cell design optimization Variability challenge overview: sensor-based adaptive design; adaptive design based on in-situ error detection and correction techniques part-1 Adaptive design based on in-situ error detection and correction techniques part-2 Pipeline and parallel architectures in near/sub-threshold voltage circuits. | 3 | 3 - 0 - 0 - 0 - 0 - 0 |
| 145 | EE5253 | Computer Methods in Power Systems Analysis Load flow studies – triangular factorization, sparse matrix techniques Fault analysis – open conductor faults Economic dispatch with losses State estimation – method of least squares, observability, bad data detection Contingency analysis – use of dc model, linear sensitivity factors Stability analysis – computation of eigenvalues, numerical integration of differential and differential-algebraic equations | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 146 | EE6430 | Fundamentals of Linear Optimization 1. Origins of Linear Optimization: Fourier-Motzkin Elimination2. Affine Spaces: Affine Hull, Affine Subspaces, Affine Independence and Dimension3. Convex Cones: Polyhedral Cones, Finitely Generated Cones, Carathoedery’s Theorem Wely’s Theorem, Farkas Lemma, Dual Cones and Minkowski’s thorem . 4. Polyhedrons: Faces of Cones and Polyhedrons, Homogenization, Minkowski-Weyl Duality, V-H descriptions, Recession cone .5. Linear Programming and Duality: Feasibility, Dual of an LP, Weak and Strong Duality theorems and Complementary Slackness theorem.6. Computations on a Polyhedron: Dimension of a polyhedron and Double description method and Simplex Algorithm | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 147 | EE3007 | RF and Optical Communication Basic requirements of Communication Link: Modulation, Power, Transmitter and Receiver Gain, Noise, SNR. Noise in channel vs Noise in Receiver RF Link Design Receivers and Transmitters: Radiation patterns, power,bandwidth, noise The RF channel: multipath, curvature of earth Near Field RF link. Inductive coupling with RFID antennas, readers Short Range communications Zigbee, Bluetooth, Bluetooth Low Energy (BLE): Link design Long range communications Wireless links: Multipath, fading, attenuation, link design, case study Satellite links: Effect of ionosphere, atmosphere. Link design, case studies Ultra long links: Communicating across the solar system - link design for the deep space probes sent out by NASA. Optical communication: Sources: Modulation, power, beam spreading, beam wander Receivers: Sensitivity, noise, bandwidth Channel: Bandwidth, Fibre or free space, Channel noise, Turbulence, Fog Optical link design basics Free Space link design, case studies. Fog and free space optical links Optical Fibre Communication basics. Link design of a fibre link. Cost per bit for Copper, RF and Optical links vs distance and Bitrate RF over Optical links: Microwave Photonics Transporting analog RF over Optical links | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 148 | EE1100 | Basic Electrical Engineering 1. Properties of resistance, Ohms law, KVL, KCL, mesh and nodal analysis, Network theorems: Superposition, Thevenin, Norton and maximum power transfer. 2. Properties of inductance and capacitance, DC transients: Series RL, RC, RLC and parallel RLC. 3. Single phase AC, voltage and current phasors, impedance, network theorems application to AC, frequency response of ac circuits, resonance, filters, active power, reactive power, apparent power, power factor. 4. Balanced Three phase AC, three phase power, star and delta connection. 5. Single phase transformer: Principle of operation, equivalent circuit, OC and SC test, voltage regulation, efficiency. 6. Three phase Induction motor: Construction, rotating magnetic field, principle of operation, slip, torque, equivalent circuit, efficiency. 7. DC machines: Principle of operation, excitation, equivalent circuit, emf, speed and torque characteristics. 8. Diodes and applications: Diode characteristics, voltage and current relationship, diode circuits-rectifiers, peak and envelop detectors, solar cell. 9. Operational amplifiers: Description of amplifiers as a black box and definition of gain, effect of feedback on gain, Operational amplifier circuits: Non-inverting, inverting, summing, differential, integrators, differentiators, buffers. | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 149 | EE5155 | Wireless Networks Wireless Networking communication protocols, algorithms for network resource allocation, traffic engineering, modeling and performance analysis, Queuing models.wireless local area networks, ad hoc and mesh wireless networks, Routing protocol, TCP,Cross-layer design and optimization, wireless Multiple access techniques,multi packet reception, Next generation WiFi.Standards ( 802.11 family ).Relay networks,inter-vehicular networks, Dynamic spectrum access and cognitive radio networks, Wireless sensor networks, Wireless-specific security, privacy, and authentication, mobile computing.Heterogeneous networks, Mobile data offloading, storage area networks, peer-to-peer networking, issues related to social networks, location aware networking, network management, software defined networks. Machine to machine communication, Frame slotted aloha, RFID, Internet of Things.LTE massive machine type communication. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 150 | EE6253 | Power System Control and Stability Introduction to power systems stability problem: rotor angle stability, voltage stability, frequency stability, classification of stability Synchronous machine modeling, representation in stability, load representation, excitation systems, prime mover and governor Small signal stability: fundamental concepts, state space representation, eigen properties, single machine infinite bus systems, power systems stabilizer, multi machine systems Transient stability: numerical integration methods, simulations of power system dynamic response, direct method of transient stability assessment, transient energy function approach Voltage stability: basic concepts Sub-synchronous oscillations: turbine generator torsional oscillations, torsional interactions with power system controls, sub synchronous resonance, impact of network switching disturbances Transient stability enhancement: high speed fault clearing, dynamic braking, reduction of system reactance, control of HVDC transmission links etc. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 151 | EE3402 | Sensing Techniques and Sensor Systems Course Contents: Sensors: Types and characteristics. Mechanical and acoustic sensors: metallic, thin-film and semiconductor strain gauges, silicon pressure sensors, accelerometers, displacement transducers, piezo junction devices, piezoelectric field-effect transducers, surface acoustic wave devices, ultrasonic based sensors, flow sensors. Magnetic and Electric field sensors: Sensors based on variable magnetic coupling, search coil, magnetoresistors, Hall-effect devices, integrated Hall devices, flux-gate sensors, solid-state read and write heads, electrostatic sensors and applications. Light-sensitive sensors: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, opto-isolators, photodiode arrays, charge-coupled devices, fiber-optic sensor technologies and applications. Thermal sensors: Platinum resistors, thermistors, silicon transistor thermometers, integrated temperature transducers, thermocouples. Interface electronics: Noise analysis, electronic circuits designed to interface directly with the sensing elements, linearization, A/D conversion, temperature compensation. Current, frequency, period or pulse-width modulation conversion, microcomputer/microcontroller interfacing. Sensor systems and applications: integrated sensors-actuators, microsystems, sensor buses, multiple-sensor systems, sensor networks and automotive, consumer, power, medical measurement systems. | 11 | 3 - 1 - 0 - 1 - 6 - 11 |
| 152 | EE5162 | Topics in Information Theory This is a second-level course in information theory. The students are assumed to have studied the basic concepts of information theory and capacity of point-to-point channels. The actual topics covered in class will be a selection from the following. Channels with memory/state-MIMO channels-ISI channels, constrained channels-Dirty paper coding-Fading channels. Network information theory-Multiple access channels-Broadcast channels-Relay channel-Network coding, Information-theoretic secrecy-Wiretap channel-Privacy amplification-Physical layer security, Information theory and statistics-Hypothesis testing, universal coding, MDL principle-Minimax theory, Zero-error information theory-Shannon capacity of graphs-Information-theoretic methods in combinatorics | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 153 | EE5203 | Switched Mode Power Conversion ) Power Converters • Introduction, DC-DC Converter: Linear regulators, switched mode converters: Topologies, Non-isolated/isolated, constituent elements, operating principles, steady state analysis and Steady state model in continuous and Discontinuous mode of operation. Steady-State Equivalent Circuit Modelling, Losses, and Efficiency, Techniques of Design-Oriented Analysis with application to switching converters. 2) Modelling of switching converters • AC Equivalent circuit modelling of converters and simulation of converters operating in continuous mode, State Space averaged model, averaged switch modelling, canonical circuit model, transfer functions of switching converters. 3) Control Schemes and controller design • Popular techniques for controlling switching converters: Voltage control, current programmed control: Average-current, peak-current-mode, Effects of current mode control on basic transfer functions, Frequency control techniques. • Controller design in frequency Domain • Concepts on application of non linear control techniques to power converters. 4) Soft Switching converters ZVS/ZCS schemes, Topologies and control and analysis of various resonant / soft-switching dc-dc converters | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 154 | EE8015 | GIAN 151003D01 Millimeter Wave Integrated Circuits: 60GHz and Beyond Course Contents:o Introduction to mmWave systems and applications.o Si-based devices for mmWave (Modern SiGe and CMOS technologies, fT, fmax, currentdensityscaling, large-signal models).o Si-based passive devices (Inductors, capacitors, resonators, transformers, transmissionlines, impact of BEOL).o mmWave amplifier design (Max. available gain, max. unilateral gain, cascade vs.cascode)o mmWave and microwave low-noise amplifier design (CS, CB, NFmin, Yopt, noisecircles).o mmWave power-amplifier design (Class A-F, load-pull, efficiency/output power circles,impedance transformation and power combining).o mmWave mixers for frequency translation.o mmWave VCOs (LC oscillators, standing-wave oscillators, push-push and distributedoscillators).o Oscillator phase-noise theory and its impact on mmWave VCO design.o Injection locking, injection pulling and coupled oscillators.o mmWave frequency synthesis (Regenerative dividers, injection locked dividers,mmWave PLLs).o Phased arrays and multiple-antenna systems (Architectures, phase-shifter circuits). | 6 | 2 - 0 - 0 - 0 - 4 - 0 |
| 155 | EE2025 | Engineering Electromagnetics 1. Static/Quasi-Static E & M Fields: (i) Poisson's and Laplace's equations, Uniqueness theorem, General Procedure for Solving Poisson's or Laplace's Equation, (ii) Resistance and Capacitance (Examples of MEMS and P-N junction), (iii) Magnetic Fields, Inductors and Inductance, (iv) Electric- and Magnetic Field Systems (Concept of distributed elements)2. Transmission Lines: (i) Equations of current and voltage, (ii) Standing waves and impedance transformation, (iii) Power transfer on a transmission line, (iv) Loss-less and low-loss transmission lines, (v) Discontinuity, Bounce diagram and Digital transmission lines.3. EM Waves and Waveguides: (i) Wave equation and plane-wave solution, (ii) Energy conservation and Poyenting theorem, (iii) Wave propagation in loss-less and lossy media, (iv) Waves at the interface (Fresnel's Equation, TIR, Brewester's Angle, Skin Depth), (v) Parallel plane waveguide and TEM modes, (vi) Rectangular Waveguides and Resonators, (v) Optical Waveguides, Fiber Optics and Optical Communications. | 10 | 3 - 1 - 0 - 0 - 6 - 0 |
| 156 | EE1102 | Introduction to Programming Course Contents: 1. Introduction to Computers, programming language a. C language history 2. Variables constants and declarations 3. Arithmetic, relational and logical operators. a. Precedence order 4. Control flow statements a. For loop b. While loop c. If, If-else d. Switch 5. Arrays a. One dimensional and two dimensional arrays 6. Characters and strings 7. Functions a. Pass by value, pass by reference b. Recursive functions c. Scope of variables 8. Sorting algorithms a. Selection sort b. Insertion sort 9. Introduction to pointers a. Basic pointers b. Pointers to arrays and two dimensional arrays c. Pointer arithmetic d. Malloc, stack vs heap 10. Structures a. Basic introduction b. Pointers to structures c. Basic linked lists 11. File processing (IO processing) a. Opening, closing and reading files b. Structured and Unstructured file reading | 12 | 3 - 0 - 3 - 0 - 6 - 12 |
| 157 | EE5340 | Micro Electro Mechanical Systems Introduction to MEMSSurface micromachining, Oxide anchored Cantilever beam, poly anchored beamsLPCVD poly silicon deposition, doping, oxidationTransport in PolySi, 2 and 3 terminal beamsBulk micromachining; Wet etching –isotropic and anisotropic; Etch stop – Electrochemical etching; Dry etching; BondingComparison of bulk and Surface micromachining: LIGA; SU-8; Moulding processes;Stiction: process, in-use, Measuring stictionPull-in parallel plate capacitorPressure Sensor: piezo-resisitivity, Diffused Si, Poly, porous SiBeams: Structure; force, moments, equation, spring constant; Stress, pull-in, pull-out; resonance freq, etcAccelerometer. Quasi-static, capacitive, equivalent circuit; Analog; Tunnel; Thermal accelerometerRate GyroscopeBiosensor and BioMEMS; Microfluidics; Digital Microfluidics; Ink jet printerOptical MEMS: Displays -DMDs, LGVs, active and passive componentsRF MEMS: switches, active and passive componentsPackaging; ReliabilityScalingOther materials/ actuatorsBy TAsMEMS software training: COMSOL & IntellisuiteSome process technology (Litho, oxidation, etc) | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 158 | EE8013 | GIAN171003D01: Coupling-Matrix Design of Advanced RF/Microwave Filters The course starts by introducing students to the importance of RF filters in modern reconfigurable communication systems followed by the fundamentals of filter design. It subsequently introduces students to the coupling-matrix design theory followed by many practical synthesis examples. Without sacrificing mathematical rigor, the course emphasizes the practical step-by-step design process. Relevant matlab scripts will be provided to students so they can perform their own designs. Students will be able to design complex transfer-function filters that go beyond traditional textbook-style filters. In addition, planar and three dimensional practical filter examples will be presented. The course will conclude by providing examples of the most successful reconfigurable filter architectures that exploit the aforementioned techniques. Students completing this course will be able to understand basic and advanced filter concepts as well as comprehend state-of-the-art tunable designs published in the technical literature. | 3 | 1 - 0 - 0 - 0 - 2 - 3 |
| 159 | EE5204 | Electric Vehicles and Renewable Energy 1. India’s energy Scenario 2. India’s road-transport and importance of EVs in India 3. Centralised and Decentralised Power generation systems using Solar PV: technology and economics; solar-DC systems; bi-directional grid synchronisation 4. Centralised and Decentralised Wind Power systems: technology and economics 5. Other Renewable Energy sources 6. Grid-storage for Renewable Energy 7. System level analysis of power consumed in EVs; Electric Vehicle architecture and sub-systems 8. Batteries for EVs 9. Electric Drive-trains: Motors, controllers, DC-DC converters, other subsystems 10. EV Chargers and battery-Swappers 11. Cost-challenges of EVs in India and the world 12. Electric 2-wheelrs, 3-wheelers, 4-wheelers, buses, small goods-vehicles | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 160 | EE5254 | High Voltage Technology Generation and measurement of high AC, DC and transient votlages. fundamental aspects of insulation engineering, Power apparatus testing and life estimation of power apparatus. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 161 | EE8014 | GIAN171003D02: Quantum error correction and its relations to statistical physics The stabilizer formalism & the decoding problem The surface code & topological quantum order Surface code decoding: renormalization, mapping to Ising model, fault tolerance LDPC codes, belief propagation, free-energy and mean-field theory Relations to tensor networks, polar codes and beyond | 3 | 1 - 0 - 0 - 0 - 2 - 3 |
| 162 | EE6326 | Integrated Circuit Design and Testing * Components on an analog IC; Simulation of component characteristics* Analog IC building blocks; * Layout of components on an IC; Ratiometric layout; Matching considerations, dummy devices* Putting together the building blocks; Top level wiring of signals and supplies* Package parasitics and simulation* PCB design* Testing | 12 | 2 - 0 - 4 - 0 - 6 - 12 |
| 163 | EE6903 | M.Tech Project 3 Project Work | 30 | 0 - 0 - 0 - 0 - 30 - 30 |
| 164 | EE6902 | M.Tech Project 2 Project Work | 30 | 0 - 0 - 0 - 0 - 30 - 30 |
| 165 | EE6901 | M.Tech Project 1 Project Work | 25 | 0 - 0 - 0 - 0 - 25 - 25 |
| 166 | EE2001 | Digital Systems & Lab 1. Introduction to Digital Systems and Boolean AlgebraBinary, octal and hexadecimal number systems; Truth table; Basic logic operation and logic gates. Basic postulates and fundamental theorems of Boolean algebra; Canonical (SOP and POS) forms2. Logic Minimization and ImplementationMinterm and Maxterm expansions; - Karnaugh-maps, essential prime implicants, incompletely specified functions, NAND and NOR implementation, Quine-McCluskey method; Switch level representation and realization using transistors; Logic families – TTL, CMOS3. Combinational Logic Multi level gate circuits, Decoders, encoders, multiplexers, demultiplexers and their applications; Parity circuits and comparators; Representation of signed numbers; Adders, Ripple carry. Introduction to HDL ( VHDL /Verilog), HDL description of combinational circuits.4. Sequential LogicLatches and flip-flops: SR-latch, D-latch, D flip-flop, JK flip-flop, T flip-flop; Setup and Hold parameters, timing analysis; Registers and counters; Shift register; Ripple counter, Synchronous counter design using D, T, and JK flip flops. HDL description of sequential circuits.5. State Machine Design State machine as a sequential controller; Moore and Mealy state machines; Derivation of state graph and tables; Sequence detector; state table reduction using Implication table; state assignment, logic realization; equivalent state machines, Designing state machine using ASM charts. state machine modeling based on HDL.6. Memory and Programmable Logic DevicesROM and RAM; Sequential PLDs and their applications; State- machine design with sequential PLDs; FPGAs7. Register transfer language: Notation, HDL features for RTL, Digital design at the RTL level, Simple design of a microcontroller using RTL.8. Advanced TopicsAsynchronous Sequential Machines, Static and Dynamic hazards; race free design; testing digital circuits.Syllabus: LaboratoryExperiments on design of combinational circuits including adders and magnitude comparators; realization using multiplexers and other approaches; identification of critical path Design of sequential circuits including flip-flops, counters and registers Digital to analog converter design and study of characteristicsExperiments on motor control using flip-flops and gates Introduction to hardware description languages and simulation of simple circuits | 16 | 3 - 1 - 6 - 0 - 6 - 16 |
| 167 | EE6362 | Advanced Topics in Microelectronics and MEMS Contents will be decided by the respective instructor | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 168 | EE6323 | Wireless System Design Module I. Digital communications fundamentalsModule II. RF transceiver architecturesModule III. Transmitters (from DAC output to antenna)Module IV. Receivers (from antenna to ADC input)Module V. Non-idealities in RF/analog and their effectsModule VI. Understand specifications of wireless standard under considerationModule VII. Link Budget AnalysisModule VIII. Calibration | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 169 | EE5121 | Convex Optimization Mathematical preliminaries: real analysis - ordered sets, metric spaces, norm, inner product, open, closed and compact sets, continuous and differentiable functionsConvex sets: Standard examples of convex sets, operations preserving convexity, separating and supporting hyperplane, generalized inequalities Convex functions: First and second order conditions for convexity, examples, operations preserving convexity, quasiconvex functions, logconcave functionsConvex optimization problems: Standard form, equivalent formulation, optimality criteria, quasi convex optimization, linear programming, quadratic programming, cone programming, SDPs, LMIs, geometric programming, Multi-objective optimizationDuality: Lagrangian duality, weak and strong duality, slater's condition, optimality condition, complementary slackness, KKT conditions Some basic algorithms | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 170 | EE6133 | Multirate Digital Signal Processing 1. INTRODUCTION: Sampling, Nyquist criterion, Aliasing, Reconstruction, discrete-time Fourier Transform, Z Transform 2. MULTIRATE CONCEPTS: Multi-rate building blocks–up-sampling, interpolation, down-sampling (decimation), properties, sampling rate conversion, multirate filters, polyphase implementation with up/down sampling 3. MULTI-RATE FILTER BANKS: Sub-band coding, Analysis and Synthesis filterbanks, Maximally decimated filterbanks (aliasing cancellation, magnitude distortion, phase distortion), filter Banks satisfying Perfect Reconstruction (PR) condition (two channel and M-channel PR filterbanks) 4. MULTIRATE FRAMEWORK FOR OFDM AND MULTICARRIER TRANSMISSION: AWGN Channel Capacity (Shannon), Frequency-selective fading channel Capacity, Water-filling, Motivation for OFDM, Filterbank transceivers, Inter-Symbol Interference (ISI), Inter-Block Interference (IBI)–Zero-padding, Cyclic Prefix (CP), An enhancement of OFDM - Filterbank Multicarrier (FBMC) 5. APPLICATIONS: Oversampled Delta-Sigma A/D, noise shaping, Interpolated FIR (IFIR) Filters, Multistage CIC filters 6.WAVELETS: Introduction, Short-Time Fourier Transform (STFT), The Wavelet Transform and its Relation to Multirate Filter Banks 7. MATLAB EXERCISES & MINI PROJECT: Involving multirate DSP concepts | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 171 | EE5156 | Internet of Things and Management of discrete entities 1. Communications: wireless local-area networks, wireless wide-area networks and back-haul networks2. Sensing and Actuation, remote-processing3. Powering devices4. Cloud storage and processing; Data Analytics and Intelligent Management5. Applications in Grid-Management; Renewable Sources on grid, Storage on grid, demand Management; Management of Power and Energy6. Applications in Electric Vehicle; Optimising Battery usage7. Applications in water-distribution management8. Applications in Agriculture9. Smart Infrastructure and smart cities | 6 | 2 - 0 - 0 - 0 - 0 - 0 |
| 172 | EE5143 | Information Theory Entropy, relative entropy and mutual information, Asymptotic equipartition property, Entropy rate of a stochastic process, Data compression, Channel capacity, Differential entropy, Gaussian channel, Information theory and Statistics | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 173 | EE5003 | Electrical Networks and Systems 1) Circuits and Networks:Review of nodal analysis/modified nodal analysis and basic circuit theorems. Nodal analysis with controlled sources and magnetically coupled systems. Resonant circuits.2) 2-port networks, small signal analysis:Linear two port networks and network theorems. Small signal analysis of networks.3) Transmission lines:2-port networks at high frequencies, s-parameters. Lumped vs distributed representations. Lossless vs lossy transmission lines. Special cases - quarter wavelength; short, open and matched loads.4) Ideal opamps, feedback (system level):Basics of operational amplifier. Op-amp based building blocks. Feedback theory, negative/positive feedback. Stability criteria, review of bode plot with gain and phase margin. Compensation.5) Introduction to noise in circuits:Thermal noise in resistors. Noise analysis in networks (including controlled sources). Input referred current and voltage sources. Noise correlation.6) Nonlinearity, time variance:Representations and effects of nonlinearities and time variance in circuits. Effects on noise. | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 174 | EE6180 | Advanced Topics in Artificial Intelligence 1. Basic Neural Network: Perceptron; Multi-layer Perceptron; Back propagation; Stochastic gradient descent; Universal approximation theorem; Applications in imaging such as for denoising. 2. Convolutional Neural Networks (CNN): CNN Architecture (Convolutional layer, Pooling layer, ReLu layer, fully connected layer, loss layer); Regularization methods such as dropout; Fine-tuning; Understanding and Visualizing CNN; Applications of CNN in imaging such as object/scene recognition. 3. Recurrent Neural Network (RNN): Basic RNN; Long Short Term Memory (LSTM) and GRUs; Encoder-Decoder models; Applications in imaging such as activity recognition, image captioning. 4. Autoencoders: Autoencoder; Denoising auto-encoder; Sparse auto-encoder; Variational autoencoder; Applications in imaging such as segnet and image generation. 5. Deep Generative Models: Restricted Boltzmann machine; Deep Boltzmann machine; Recurrent Image Density Estimators (RIDE); PixelRNN and PixelCNN; Plug-and-Play generative networks. 6. Generative Adversarial Network (GAN): GAN; Deep Convolutional GAN; Conditional GAN; | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 175 | EE6331 | Embedded Memory Design Contents:SRAM: Memory hierarchyMemory organizationFlip flop6T SRAM basics6T SRAM cellStatic/ Read and Write noise marginsRead/ Write/ Hold and Access failuresColumn interleavingAlternative Cell TypesImpact of VariationRedundancyModes of failureAssist CircuitsBTI StressMemory TestingPowerVariation characterizationeDRAM:Basics of DRAMDefinition of EmbeddedRequirement for short BLs in DRAMsTransfer ratioRetention time/ Refresh rate analysisPower supplies required for eDRAMAdvantages of eDRAM over eSRAMWrite time calculationHierarchical sensing3T Micro Sense AmpMicro Sense Amp EvolutionRead time calculationSOI Technology - Floating body effects on eDRAMGated Feedback Sense AmplifierVariability studyThick Oxide Word-line driversThin Oxide Word-line driversRedundancy and TestingNon Volatile MemoriesCharge Trap Transistor | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 176 | EE6501 | Optical Sensors Introduction: Optics for differential sensing of temperature, humidity and pressure; detection of bio-molecules, gases and chemicals; measurements of displacement, vibration and thickness of transparent thin-films; inertial navigation – position, velocity, acceleration, and rotational sensing; structural health monitoring; scanning and infrared imaging, etc. Principle of Optical Sensing: Fluorescence & Absorption Spectroscopy, Polarization/Amplitude/Intensity Modulation, Cavity Resonances & Sagnac Effect, Distributed Scattering Effects (Bragg, Raman & Brillouin). Integrated Optical Sensing Elements & Accessories: Dielectric and Plasmonic Waveguides, Microbridge / Suspended Waveguide and Waveguide cantilever, Passive and Active Phase Shifters, Quantum Dot Photodetectors, Dielectric Mirror & Antireflection Coating, Membrane / Diaphragm, Microfluidic Channels, and Micropumps. Integrated Optical Multi-Functional Sensor Devices: Surface Plasmon Polariton Resonators, Vertical and In-Plane Fabry-Perot Interferometer, Mach-Zehnder Interferometers, Coupled Microring Resonator(s), Lab-on-Chip. Application Specific Optical Sensor Systems: Integrated Fiber Optic Gyro (IFOG), Optical Time Domain Reflectometer (OTDR), Light Detection and Ranging (LIDAR), Optical Scanners, IR Camera and Photodetector Array. | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 177 | EE6345 | Advanced Memory Technology Introduction to memory devices: Evolution and history; archival data storage; advances in optical memories.Non-volatile memory devices: Magnetic memories, HDDs; Silicon based thin film transistor non-volatile memories; Flash memories, classification and operation; challenges; advancements in vertically stackable arrays. Volatile memory devices: Random access memories, classification and operation; SRAMs; DRAMs; history and challenges.Emerging memory technologies: Phase Change Memory (PCM); Magneto-resistive Random Access Memory (MRAM); Ferroelectric Random Access Memory (FeRAM), Resisitive Random Access Memory (RRAM); Comparison and future direction towards universal memory concepts. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 178 | EE6431 | Nonsmooth analysis in control and optimization 1. Applications: Nonsmooth harmonic oscillator, stick-slip system and systems involving discontinuous stabilizing control law2. Semicontinuity, proper and improper convex functions, Lipschitz property of convex function, projection of a point onto a set, distance function, gradient of the distance function and the projection inequality, normal and tangent cones, properties of normal cones3. Subdifferential of a convex function and its properties, connection to convex geometry, basic inequality, subgradient calculus and optimality conditions.4. Directional derivatives, relation between subgradients and directional derivatives, existence of subgradient, subdifferential and gradient direction of steepest descent, examples involving the subgradient of a norm, distance function, indicator function, max function and maximum eigen value of a symmetric matrix.5. Solution notions for discontinuous systems, Caratheodory, Fillipov, sample-and-hold solutions.6. Lyapunov-like stability theorems for nonsmooth systems and optimality conditions for nonsmooth optimization. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 179 | EE5180 | Introduction to Machine Learning 1. An introduction to machine learning: why and what. A comparison of artificial intelligence, machine learning, and widely adored deep neural networks. 2. The most fundamental problem of electrical engineering: decision making under uncertainty (elaborated with examples from communication and signal processing). Detection and estimation theory & machine learning: similarities and differences. 3. Supervised learning (discrete labels): signal detection without the knowledge of path loss and noise distribution, image recognition, etc. Linear classifier, support vector machine and kernel method. Logistic regression. 4. Supervised learning (continuous labels a.k.a. function learning): LTI system and channel estimation. Linear regression, support vector regression. 5. A brief tour of neural networks. Why function representation? Why NN? Why deep NN? Some architectures: convolutional neural networks (image processing), recurrent neural networks (communication and control). Training, backpropagation and SGD. 6. Unsupervised learning: vector quantization and clustering, k-means algorithm, spectral clustering 7. Sparse recovery: applications in signal processing. LASSO, ISTA. 8. Low dimensional structure in high dimensional data: PCA 9. Graphical model: a statistical model for error correction codes, social networks, etc. Markov random field (MRF), inference on MRF, learning MRF structure from data. 10. Reinforcement learning: applications in robotics and wireless scheduling. A brief introduction to Markov decision processes, TD(λ) and Q-learning. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 180 | EE5140W | Digital Modulation and Coding Complex Baseband Representation: Energy and Power signals, Frequency domain representations, Passband and Baseband signals, Upconversion and Downconversion, Equivalences between baseband and passband signals Digital Modulation: Linear modulation, pulse shaping, PSD of linear modulated signals, Nyquist criterion for ISI avoidance, Differential Modulation, Nonlinear Modulation, M-ary constellations and power efficiencyCoherent Demodulation: Signal space concepts, Additive White Gaussian Noise, Bayesian Hypothesis Testing, Optimal demodulation in AWGN, Error Performance, Elementary link budget analysisNoncoherent Demodulation: Synchronization errors, Timing and Frequency errors, Noncoherent demodulation, Square-law detector, Error performanceISI Channels: Demodulation of stream of symbols, Inter-symbol Interference, Optimal demodulation with ISI, Viterbi algorithm, Linear equalization, Decision feedback equalization | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 181 | EE5141W | Introduction to Wireless and Cellular Communication Overview of cellular evolution to 4G and beyond, Introduction to terminology, link budget, Computer Simulation of Digital Communications link Cellular Concepts - Freq re-use, Co-channel interference, handoff, Erlang capacity) Radio Propagation – small scale effects, Multipath, different types of fading, delay-spread, Computer generation of fading channels, BER performance in fading Diversity - Types of diversity, analytical methods, computer simulation Capacity of wireless channels - CSIR, CSIT, Water-filling Introduction to MIMO systemsPrinciples of CDMA cellular systems Principles of OFDM based broadband wireless systemsRadio Propagation – large scale effects, Propagation and Path-loss models, shadowing, diffraction loss | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 182 | EE5120W | Applied Linear Algebra I for EE Linear System of Equations: Gaussian elimination—ehelon forms—existence, uniqueness, and multiplicity of solutions in a system of linear equations.Vector Spaces: Definition—linear dependence and independence—spanning sets, basis, and dimension—definition of subspace—intersection and sum of subspaces—direct sums and embedding of subspaces.Linear Transformations: Definition—matrix representation of a linear transformation—the four fundamental subspaces associated with a linear transformation—system of linear equations revisited—change of bases—similarity transformations—invertible transformations.Inner Products: Definition, induced norm, inequalities, orthogonality—Gram-Schmidt orthogonalization process—orthogonal and rank one projections—unitary transformations and isometry.Eigen Decomposition: Eigenvalues and eigenvectors—Gerschgorin circles—characteristic polynomials and eigenspaces—diagonlizability conditions—invariant subspaces—spectral theorem—Rayleigh quotient. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 183 | EE5150W | Communication Networks 1) Introduction to common networks such as the Internet, WiFi, Cellular networks, Ad hoc and Sensor networks; Introduction to ISO/OSI Layers; Deterministic and Stochastic Network Calculus, Introduction to Network Simulators; 2) Medium Access Control Layer: ARQ protocols; Random access; Backoff algorithms; WFQ implementations; Introduction to Queueing theory; Mesh networks;3) Routing Layer: Routing algorithms for wired, wireless and mobile networks; Multihop networks; Flow management and Rate region; Buffer management;4) Transport Layer: TCP; UDP5) Applications: Cross-layer Design; Network Monitoring; Performance Measures; Notions of fairness; QoS; | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 184 | EE5311W | Digital IC Design CMOS TransistorCMOS InverterInterconnectsCombinational LogicSequential CircuitsArithmetic Building BlocksMemories | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 185 | EE5310W | Analog Electronic circuits 1) MOS transistor characteristics; small signal model2) Common source amplifier, frequency response, Miller effect3) Introduction to negative feedback; Closed loop behavior of first, second and third order systems in a feedback loop; Gain and Phase margin4) Dominant pole compensation; Pole splitting5) Controlled sources using MOS transistors and opamps6) Swing limits of amplifiers7) pMOS transistor; Active load; CMOS inverter; Differential pair8) Single stage and Two stage opamps; Miller compensation;9) Bipolar junction transistor | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 186 | EE5003W | Electrical Networks and Systems 1) Circuits and Networks:Review of nodal analysis/modified nodal analysis and basic circuit theorems. Nodal analysis with controlled sources and magnetically coupled systems. Resonant circuits.2) 2-port networks, small signal analysis:Linear two port networks and network theorems. Small signal analysis of networks.3) Transmission lines:2-port networks at high frequencies, s-parameters. Lumped vs distributed representations. Lossless vs lossy transmission lines. Special cases - quarter wavelength; short, open and matched loads.4) Ideal opamps, feedback (system level):Basics of operational amplifier. Op-amp based building blocks. Feedback theory, negative/positive feedback. Stability criteria, review of bode plot with gain and phase margin. Compensation.5) Introduction to noise in circuits:Thermal noise in resistors. Noise analysis in networks (including controlled sources). Input referred current and voltage sources. Noise correlation.6) Nonlinearity, time variance:Representations and effects of nonlinearities and time variance in circuits. Effects on noise. | 10 | 3 - 1 - 0 - 0 - 6 - 10 |
| 187 | EE5130W | Digital Signal Processing (1) Review of Discrete-Time Signals and Systems, LTI systems, convolution,sampling;(2) Review of Discrete-Time Fourier Transform, Z-Transform, DFT (FFT)and their properties;(3) LTI systems in the transform domain: poles and zeros, magnitude and phaseresponse, group delay;(4) Linear-phase, allpass and minimum-phase systems, spectral factorization;(5) Introduction to multirate DSP | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 188 | EE5313W | Semiconductor Device Modelling Semiconductors: Energy bands; Thermal equilibrium carrier concentration. Excess carriers, quasi Fermi levels; Recombination of carriers, lifetime.Carrier transport by drift, mobility; Carrier transport by diffusion; Continuity equation. Diffusion length.Quantitative theory of PN junctions: Steady state I-V characteristics under forward bias, reverse bias and illumination. Capacitances. Dynamic behavior under small and large signals. Breakdown mechanisms.Quantitative theory of bipolar junction transistors having uniformly doped regions. Static characteristics in active and saturation regions. Emitter efficiency, transport factor, transit time.Theory of Field Effect Transistors : Static characteristics of JFETs. Analysis of MOS capacitor. Calculation of threshold voltage. Static I-V characteristics of MOSFETs and their models. | 12 | 4 - 0 - 0 - 0 - 4 - 12 |
| 189 | EE6112 | Topics in Random Processes and Concentrations 1. A nuanced look at Conditional Expectations (4 classes) a. The Hilbert Space L2 - covariance as an inner productb. Conditioning on sigma-algebras. Kolmogorov’s Existence Theorem for conditional expectation d. Properties of Conditional Expectations–iterated expectations, MMSE estimator as a projection onto an L2 subspace 2. Filtrations–sequence of sigma-algebras evolving in time (1 class) 3. Random Walks (4 classes) a. Random walks, hitting times, and threshold crossing probabilities, Kingman bound for a G/G/1 queueb. Stopping times and Wald’s identity 4. Martingales (6-8 classes) a. Definitions, basic properties b. Doob’s Optional Stopping Theorem for Martingalesc. Kolmogorov Submartingale Inequality d. Martingale Convergence Theorems and applications (Polya urn, stochastic approximation, population extinction, polar codes etc.) 5. Exchangeability and Zero-One Laws (3-4 classes) a. Exchangeable random variables, de Finetti’s theoremb. Zero-One Laws (Kolmogorov and Hewitt Savage) with applications 6. Concentration of Measure and applications (12-15 classes) a. MGF methods (Chernoff-Hoeffding, Bernstein…) b. Martingale concentrations (Azuma-Hoeffding, Doob’s martingale method, median concentrations) c. Logarithmic Sobolev Inequality d. Talagrand’s Isoperimetric Inequality | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 190 | EE6203 | Power Electronic System Design Devices, gate drive and protection: Power diode, power MOSFET, IGBT, SiC and GaN based devices, MOSFET/IGBT gate drive requirements and design, gate drive ICs, snubbers, Vce protection, PCB layout measures. Passives for Power Electronic Applications: Basics of MMF, flux, reluctance and B-H curves, inductor design, transformer design, magnetic materials, fringing, magnetic losses, capacitor types and selection, resistors for power electronic applications. Heatsink Selection for Power Electronic Converters: Device power losses, dynamic and steady state circuit model for heatsink, cooling fan selection, thermal protections. EMI/EMC: Basics of Common Mode (CM) and Differential Mode (DM), origin of common mode voltage and conducted EMI currents in power electronics, high frequency EMI circuit model, standards, basics of EMI filter design. Design of a few example applications. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 191 | EE6432 | Stochastic Control 1. Recap of probability theory: Probability spaces, Random variables, Convergence of random variables, Conditionalexpectation, Filtrations2. Recap of linear systems theory: Controllability, Observability, Kalman decomposition, Stability3. Stochastic processes: Classification of stochastic processes, Second order processes, Mean-Square calculus,Random walk and Brownian motion, Properties of Brownian motion, White noise4. Stochastic differential equations: Differential equations driven by white noise, Riemann-Stieltjes integral, Wienerintegral, Ito and Stratonovich integrals, Fokker-Planck equation, Langevin equation, Ornstein–Uhlenbeck process.5. Estimation and Filtering: Linear least squares estimator, Kalman filter in continuous and discrete time, Separationprinciple, Certainty equivalence6. Stochastic optimal control -- Dynamic programming, Hamilton–Jacobi–Bellman (HJB) equation, Linear quadraticGaussian control, Linear exponential Gaussian control, Stochastic maximum principle | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 192 | EE6347 | Devices and technologies for AI and neuromorphic computing Neurons as computational units: models for neurons (Hodgkin-Huxley; Leaky-integrate and Fire), Learning in artificial neural networks: types of ANNs, learning algorithms, role of non-volatile memory devices as synapses and device requirements, physics of filamentary memristive devices, modeling of memristive devices, memristive crossbar arrays: design challenges and requirement of selectors, emerging devices for artificial neurons (Mott insulators, threshold switching resistive switches). | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 193 | EE5500 | Introduction to Photonics Wave/particle duality, Diffraction of Light, Statistical properties of light, Coherence, Photon properties - energy, flux, statistics, Interaction of photons with matter, Light amplification, Semiconductor light sources and detectors, Laser Fundamentals, Junction devices, Manipulation of photons : Interaction with RF and acoustic waves, fundamentals of nonlinear optics. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 194 | EE5112W | Detection Theory 1) Hypothesis Testing: Bayesian hypothesis testing, Minimax hypothesis testing, Neyman-Pearson hypothesis testing, Composite hypothesis testing2) Signal Detection: Deterministic signals in independent noise, Deterministic signals in (non-i.i.d.) Gaussian noise, Detection of signals with random parameters, Performance3) Sequential detection: Sequential Probability Ratio Test4) Change Detection | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 195 | EE5505W | Wave Propagation in Communication Review of Maxwells equations, Boundary ConditionsWave equation, Plane wave solution, Wave Characteristics, characteristic impedancePolarisation, EM spectrum, Poynting TheoremWave propagation in unbounded media - dielectrics, conductors, skin effect, plasmaPlane waves at media interface - normal incidencePlane waves at media interface -oblique incidence, Snells Law, TIR, Brewsters angleMultilayers, impedance matchingParallel plane waveguides -TEM, TE and TM modes, cut off frequenciesDistributed impedance, microstripsWaveguides : rectangular waveguide, TE, TM, modesAttenuation in waveguides Dielectric slab waveguide, concept of a fibreBasics of radiation theory-retarded potentials, radiation from a linear dipole antennaAntenna Patterns and Antenna parameters, Antenna arrays | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 196 | EE5175W | Image Signal Processing Basics: Applications of image processing. notion of pixel, resolution, quantization, photon noise, Geometric transformations, source-to-target and target-to-source mapping, planar and rotational homography, RANSAC for homography estimation, image registration, change detection, and image mosaicing.Motion blur: Exposure time, weighted frame integration, depth aware warping, spatio-temporal averaging, dynamic scenes.Image Formation in Lens:Pin-hole versus real aperture lens model, lens as a 2D LSI system, blur circle, Doubly block circulant system matrix, pill box and Gaussian blur models, space invariant and space variant blurring.3D Shape from Focus:Depth of field, focal stack, focus operators, focus measure curve, Gaussian interpolation, 3D recovery, focused image recovery.Image Transforms:Data dependent and independent transforms, 1D Orthogonal trasnforms, Kronecker product, 2D orthogonal transforms from 1D, 2D DFT, 2D DFT for image matching, 2D DCT, Walsh-Haddamard transform, Karhunen-Loeve transform, eigenfilters, PCA for face recognition, singular value decomposition, image denoising using SVD.Photometric stereo: Normal estimation, depth reconstruction, uncalibrated PS, Generalized bas relief ambiguity. Image Enhancement:Thresholding methods (peak-valley, Otsu, Chow-Kaneko), histogram equalization and modification, Noise models, mean, weighted mean, median, weighted median, non-local means filter, BM3D, frequency domain filtering, illumination compensation by homomorphic filtering, segmentation by k-means clustering, higher-order statistics based clustering. Image Restoration:Well-posed and ill-posed problems, Fredholm-integral equation, condition number of matrix, conditional mean, Inverse filter, Wiener filter, ML and MAP restoration, image super-resolution.Edge Detection:Gradient operators, Prewitt, Sobel, Roberts, compass operators, LOG, DOG, Canny edge detectors, non-maxima suppression, hysteresis thresholding. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 197 | EE5320W | Analog IC Design 1. Introduction to IC design and concepts2. Noise and mismatch in analog design3. Advanced concepts in Negative Feedback4. One-stage opamps5. Two-stage opamps, compensation6. Fully differential opamps7. Advanced topics in analog IC design such as PLLs, bandgap references | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 198 | EE6321W | VLSI Data Conversion Circuits Sampling and sample-and-hold circuits, quantization, ADC and DAC metrics, a survey ADC and DAC architectures. Flash ADCs, oversampling (delta-sigma) ADCs and DACs,discrete and continuous-time integrators and circuit techniques. Current steering and resistive DACs. Basics of dynamic element matching. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 199 | EE6901W | M.Tech Project 1 Project Work | 25 | 0 - 0 - 0 - 0 - 25 - 25 |
| 200 | EE6902W | M.Tech Project 2 Project Work | 30 | 0 - 0 - 0 - 0 - 30 - 30 |
| 201 | EE6903W | M.Tech Project 3 Project Work | 30 | 0 - 0 - 0 - 0 - 30 - 30 |
| 202 | EE6433 | Distributed Optimization for Control 1. Preliminaries: Graph theory, consensus protocol, convex analysis, convergence analysis, Lyapunov functions 2. Distributed algorithms: Unconstrained algorithms: Distributed sub-gradient, Decentralized inexact gradient tracking, Exact first order algorithm (EXTRA), Push-sum, Push-pull Constrained algorithms: Dual averaging, Dual ascent, Alternating Direction Method of Multipliers (ADMM) 3. With network constraints: Time varying networks, Directed networks, Event-triggered, Resilient optimization, Online optimization 4. Applications in Control: Estimation problem, Power system control, Model predictive control, Coordination of autonomous agents, Rate control of communication networks | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 203 | EE6320 | RF Integrated Circuits 1. LC resonant circuits and RF impedance matching2. RF systems concepts – definitions of noise figure & IIP3; cascaded systems3. Design of Low noise amplifiers4. Design of active and passive mixers5. Design of LC Oscillators6. Design of Power amplifiers7. Transmitter and receiver architectures | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 204 | ID5840 | Quantum Integer Programming Part1-Integerprogramming(classicalmethods): Integer Programming basics, cutting plane theory and relaxations, introduction to test sets, Grobner basis, Graver basis. Part 2 - Ising, QUBO : Ising model basics, simulated annealing, Markov-chain Monte Carlo methods, benchmarking classical methods, formulating combinatorial problems as QUBOs Part 3 - Hardware for solving Ising/QUBO : Graphical Processing Units, Tensor Processing Units, Digital Annealers, Oscillator Based Computing, Coherent Ising Machines Part 4 - Quantum methods for solving Ising/QUBO : Adiabatic Quantum Computing and Quantum Annealing, Quantum Approximate Optimization Algorithm Part 5 - Graver Augmented Multiseed algorithm (GAMA): GAMA with applications: Portfolio Optimization, Cancer Genomics and Quantum Inspired methods such as Quadratic Semi-Assignment. Part 6 - Other topics: Quantum Annealing, Gate-based Noisy Intermediate Scale Quantum (NISQ) devices | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 205 | EE5332W | Mapping Signal Processing Algorithms to DSP Architectures Course topics: - Architectures for VLSI implementation of signal processing systems - Multi-core, many-core, hardware accelerators - Metrics for analysis and comparison of architectures - DSP algorithms, properties relevant to hardware realizations - Modifications to algorithms to improve hardware realizability - Models such as dataflow graphs and their use in architecture exploration - Communication architectures, networks on chip - Specialized architectures for DSP functions The course also has a lab component that could include C/C++ coding, Verilog etc., but is not intended to teach these languages in detail. | 12 | 4 - 0 - 0 - 0 - 8 - 0 |
| 206 | EE6324W | Phase-Locked Loops System and circuit level realization of integer/fractional-N phase-locked loops (PLL), delay-locked loop (DLL), multiplying-DLL, injection-locked PLLs, and sub-sampled PLLs. Analog and digital implementation of building blocks including phase/frequency detectors, charge-pump, LC/ring-oscillators, multi-modulus frequency dividers, active/passive loop filter, voltage/current controlled delay line, phase interpolators, etc. Supply regulation of frequency synthesizers. Narrowband signal modulation within frequency synthesis loop. | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 207 | EE6502 | Optical Signal Processing and Quantum Communication Part1: Linear and nonlinear optical effects such as the Pockels and Kerr effects, their use in devices such as electro-optic modulators for intensity and phase modulation. Higher order nonlinear effects in crystals and in optical fibres, with their applications to self phase modulation, cross phase modulation and 4-wave mixing. Numerical solutions to the nonlinar Schrodinger equation, application of the nonlinar optical loop mirror and nonlinear effects in semiconductor optical amplifiers. Part 2: Optical quantum information processing starting with the descriptions of Fock states, the weak coherent states and the cluster states, and the methods for their generation and detection. The use of qubits in optical communications for implementation of quantum key distribution, quantum communication, quantum teleportation. The description of different technologies leading to their use in quantum memory and quantum repeaters | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 208 | EE6322W | VLSI Broadband Communication Circuits Digital signal transmission; Drivers and receivers for low frequencies; Serialization and Deserialization; Digital signal transmission over lossy and dispersive channels; Eye diagrams; Eye closure; crosstalk, and jitter; Equalization: Linear and non-linear equalizers; Integrated circuit implementation of broadband ampliers for transmission and reception, feedforward and decision feedback equalization; Synchronization: clock and data recovery circuits using phase locked loops and delay locked loops; | 12 | 0 - 0 - 0 - 0 - 8 - 12 |
| 209 | EE5325W | Power Management Integrated Circuits Unit-1: Introduction to Power Management and Voltage RegulatorsNeed of power management, power management applications, classification of power management, power delivery of a VLSI system, power conversion, discrete vs. integrated power management, types of voltage regulators (switching Vs linear regulators) and applications, converter’s performance parameters (voltage accuracy, power conversion efficiency, load regulation, line regulation, line and load transient response, settling time, voltage tracking), local Vs remote feedback, kelvin sensing, Point-of-Load (POL) regulators.Unit-2: Linear RegulatorsLow Drop-Out Regulator (LDO), Source and sink regulators, shunt regulator, pass transistor, error amplifier, small signal and stability analysis, compensation techniques, current limiting, power supply rejection ratio (PSRR), NMOS vs. PMOS regulator, current regulator.Unit-3: Switching DC-DC Converters and Control TechniquesTypes (Buck, boost, buck-boost), power FETs, choosing L and C, PWM modulation, leading, trailing and dual edge modulation, Losses in switching converters, output ripple, voltage Vs current mode control, CCM and DCM modes, small signal model of dc-dc converter, loop gain analysis of un-compensated dc-dc converter, type-I, type-II and type-III compensation, compensation of a voltage mode dc-dc converter, compensation of a current mode dc-dc converter, hysteretic control, switched capacitor dc-dc converters.Unit-4:Top-down Design Approach of a DC-DC ConverterSelecting topology, selecting switching frequency and external components, sizing power FETs, segmented power FET, designing gate driver, PWM modulator, error amplifier, oscillator, ramp generator, feedback resistors, current sensing, PFM/PSM mode for light load, effect of parasitic on reliability and performance, current limit and short circuit protection, soft start control, chip level layout and placement guidelines, board level layout guidelines, EMI considerations.Unit-5: Introduction to Advanced Topics in Power ManagementDigitally controlled dc-dc converters, digitally controlled LDOs, adaptive compensation, dynamic voltage scaling (DVS), Single-Inductor Multiple-Outputs (SIMO) Converters, dc-dc converters for LED lighting, Li-ion battery charging circuits. | 12 | 4 - 0 - 0 - 0 - 8 - 0 |
| 210 | EE6132W | Advanced Topics in Signal Processing 1. Basic Neural Network: Perceptron; Multi-layer Perceptron; Back propagation; Stochastic gradient descent; Universal approximation theorem; Applications in imaging such as for denoising. 2. Autoencoders: Autoencoder; Denoising auto-encoder; Sparse auto-encoder; Variational autoencoder; Applications in imaging such as segnet and image generation. 3. Convolutional Neural Networks (CNN): CNN Architecture (Convolutional layer, Pooling layer, ReLu layer, fully connected layer, loss layer); Regularization methods such as dropout; Fine-tuning; Understanding and Visualizing CNN; Applications of CNN in imaging such as object/scene recognition. 4. Recurrent Neural Network (RNN): Basic RNN; Long Short Term Memory (LSTM); Applications in imaging such as activity recognition. 5. Deep Generative Models: Restricted Boltzmann machine; Deep Boltzmann machine; Recurrent Image Density Estimators (RIDE); PixelRNN and PixelCNN; Plug-and-Play generative networks. 6. Generative Adversarial Network (GAN): GAN; Deep Convolutional GAN; Conditional GAN; Applications. 7. Deep Learning for Image Processing and Computational Imaging Denoising; Deblurring; Super-resolution; Color Filter Array design. | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 211 | EE6407 | Instrumentation for Ocean Technology Ocean: its importance – waves, currents, tides, acidity, dissolved oxygen, salinity, conductivity, pressure, temperature, turbidity, visualisation – problems associated with underwater measurements – low temperature, absence of light, high pressure - sea bed: bearing strength, shear strength, seismic levels, tsunami, wind amplitude and direction, humidity, Important features of ocean – coastal area – placer minerals - deep sea oil and gas extraction – gas hydrates – nodule mining – massive sulphides, underwater volcano – Cobalt crusts – deepest point – Mariana trench. Measurement of parameters: wave parameters, ocean current - Acoustic Doppler Velocity Profiler (ADCP) - Turbine meter, drifter, High Frequency (HF) Radar, Tide: acoustic tide gauge, pressure measurement based ocean acidity pCO2 measurement, turbidity, dissolved oxygen, chemical sensors. Platforms: Data buoys – Tsunami buoys, mooring design, satellite communication, AUVs basic design, propulsion, guidance, inertial navigation system, Glider: basic design, gliding principle, payloads, Autonomous profiling drifter (AUPD) – principle of operation, variable buoyancy engine – payloads – deep sea operation – satellite issues, Ship based - Wire walker – operating principle. Sonar: principle – side scan, single beam, multibeam. Calibration: Need for calibration – primary standards – secondary standards, calibration labs, accreditation, Temperature baths, Wind tunnels, Humidity standards. Marine sensor network: Smart sensors (IEEE 1451) for the measurement of physical and or chemical parameters compatible with cabled observations connection (OBSEA). Current standards promoted by Open Geospatial Consortium (OGC) or GEOSS as Sensor ML. Ship related Instrumentation: Ship propulsion basics, prod propulsion, diesel electric propulsion, thrusters, speed control, controlled pitch propulsion, Measurement of speed, GPS, current, wind speed, wind direction, Radar, Dynamic positioning of ship – diving bell – position keeping, accuracy | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 212 | EE1100# | Basic Electrical Engineering 1. Properties of resistance, Ohms law, KVL, KCL, mesh and nodal analysis, Network theorems: Superposition, Thevenin, Norton and maximum power transfer.2. Properties of inductance and capacitance, DC transients: Series RL, RC, RLC and parallel RLC.3. Single phase AC, voltage and current phasors, impedance, network theorems application to AC, frequency response of ac circuits, resonance, filters, active power, reactive power, apparent power, power factor.4. Balanced Three phase AC, three phase power, star and delta connection.5. Single phase transformer: Principle of operation, equivalent circuit, OC and SC test, voltage regulation, efficiency.6. Three phase Induction motor: Construction, rotating magnetic field, principle of operation, slip, torque, equivalent circuit, efficiency.7. DC machines: Principle of operation, excitation, equivalent circuit, emf, speed and torque characteristics.8. Diodes and applications: Diode characteristics, voltage and current relationship, diode circuits-rectifiers, peak and envelop detectors, solar cell.9. Operational amplifiers: Description of amplifiers as a black box and definition of gain, effect of feedback on gain, Operational amplifier circuits: Non-inverting, inverting, summing, differential, integrators, differentiators, buffers. | 10 | 3 - 1 - 0 - 0 - 6 - 0 |
| 213 | EE1101# | Signals and Systems 1. Signals (continuous-time): Signal classification (analog-digital, energy-power, even-odd, periodic-aperiodic, deterministic-random etc.), standard signals (unit step, unit impulse, ramp, exponential, sinusoids), transformations of the independent variable (4 classes)2. Systems (continuous-time): System classification (memory, causal, stable, linear, time-invariant, invertible etc.), Impulse response of an LTI system, convolution integral, graphical convolution, system properties from impulse response, complex exponential as eigenfunction of LTI systems, interconnection of LTI systems (6 classes)3. Discrete-time signals and systems: Emphasize similarities and differences with continuous-time counterpart (3 classes)4. Continuous-time Fourier series: Periodic signals and their properties, exponential and trigonometric FS representation of periodic signals, convergence, FS of standard periodic signals, salient properties of Fourier series, FS and LTI systems, some applications of FS (eg. filtering) (6 classes)5. Continuous-time Fourier transform: Development of Fourier representation of aperiodic signals, convergence, FT of standard signals, FT of periodic signals, properties of FT, some applications of FT (eg. modulation) (6 classes)6. Laplace Transform: Bilateral Laplace transform, region of convergence, properties of Laplace transform, standard Laplace transform pairs, transfer function of LTI system, characterising LTI system properties from transfer function, algebra of transfer functions and block diagram representations, Unilateral Laplace transform – brief introduction and application to simple initial value problems (8 classes)7. Sampling (Bridge continuous and discrete): Sampling theorem and signal reconstruction, notion of aliasing with examples, Sampling in frequency domain (5 classes) | 10 | 3 - 1 - 0 - 0 - 6 - 0 |
| 214 | EE5180W | Introduction to Machine Learning 1. An introduction to machine learning: why and what. A comparison of artificial intelligence, machine learning, and widely adored deep neural networks. 2. The most fundamental problem of electrical engineering: decision making under uncertainty (elaborated with examples from communication and signal processing). Detection and estimation theory & machine learning: similarities and differences.3. Supervised learning (discrete labels): signal detection without the knowledge of path loss and noise distribution, image recognition, etc. Linear classifier, support vector machine and kernel method. Logistic regression. 4. Supervised learning (continuous labels a.k.a. function learning): LTI system and channel estimation. Linear regression, support vector regression.5. A brief tour of neural networks. Why function representation? Why NN? Why deep NN? Some architectures: convolutional neural networks (image processing), recurrent neural networks (communication and control). Training, backpropagation and SGD.6. Unsupervised learning: vector quantization and clustering, k-means algorithm, spectral clustering7. Sparse recovery: applications in signal processing. LASSO, ISTA.8. Low dimensional structure in high dimensional data: PCA9. Graphical model: a statistical model for error correction codes, social networks, etc. Markov random field (MRF), inference on MRF, learning MRF structure from data.10. Reinforcement learning: applications in robotics and wireless scheduling. A brief introduction to Markov decision processes, TD(λ) and Q-learning. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 215 | EE6999 | Special Topics in Electrical Engineering Review of literature in the related area. | 9 | 0 - 0 - 0 - 0 - 9 - 9 |
| 216 | EE7999 | Special Topics in Electrical Engineering To be suggested by the guide | 9 | 0 - 0 - 0 - 0 - 9 - 0 |
| 217 | EE4903 | Mini Project 3 Mini project 3 | 9 | 0 - 0 - 0 - 0 - 9 - 9 |
| 218 | EE4901 | Mini Project 1 Mini project 1 | 9 | 0 - 0 - 0 - 0 - 9 - 9 |
| 219 | EE6999* | Special Topics in Electrical Engineering Review of literature in the related area. | 9 | 0 - 0 - 0 - 0 - 9 - 0 |
| 220 | EE6417 | Advanced Topics in Control Systems To be announced by the concerned faculty offering this course | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 221 | EE5410 | Introduction to Digital Signal Processing Discrete-Time Signals and Systems: Basic discrete time signals (unit impulse, unit step, etc.)—complex exponentials and differences between their continuous-time counterparts—scaling of the independent axis—system properties (linearity, time-invariance, memory, causality, BIBO stability)—LTI systems described by linear constant coefficient difference equations (LCCDE).Discrete-Time Fourier Transform (DTFT): Complex exponentials as eigensignals of LTI systems—DTFT definition—inversion formula—properties—relationship to continuous-time Fourier series (CTFS).Z-Transform: Generalized complex exponentials as eigensignals of LTI systems—z-transform definition—region of convergence (RoC)—properties of RoC—properties of the z-transform—inverse z-transform methods (partial fraction expansion, power series method, contour integral approach)—pole-zero plots—time-domain responses of simple pole-zero plots—RoC implications of causality and stability.Frequency Domain Analysis of LTI Systems: Frequency response of systems with rational transfer function—definitions of magnitude and phase response—geometric method of frequency response evaluation from pole-zero plot—frequency response of single complex zero/pole—frequency response of simple configurations (second order resonator, notch filter, averaging filter, comb filter, allpass systems)—phase response—definition of principal phase—zero-phase response—group delay—phase response of single complex zero/pole—extension to higher order systems—effect of a unit circle zero on the phase response—zero-phase response representation of systems with rational transfer function—minimum phase and allpass systems—constant group delay and its consequences—generalized linear phase—conditions that have to be met for a filter to have generalized linear phase—four types of linear phase FIR filters—on the zero locations of a linear phase FIR filter—constrained zeros at z = 1 and at z = -1 and their implications on choice of filters Type I through Type IV when designing filters—frequency response expressions for Type I through Type IV filters.Sampling: Impulse train sampling—relationship between impulse trained sampled continuous-time signal spectrum and the DTFT of its discrete-time counterpart—scaling of the frequency axis—relationship between true frequency and digital frequency—reconstruction through sinc interpolation—aliasing—effects of oversampling—discrete-time processing of continuous-time signals.Introduction to the DFT—FFT: Decimation in Time (DIT) algorithm. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 222 | EE6491 | Advanced Topics in Instrumentation-1 Advanced topics in instrumentation. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 223 | EE4902 | Mini Project 2 Mini project 2 | 9 | 0 - 0 - 0 - 0 - 9 - 9 |
| 224 | EE3703 | Analog Circuits Laboratory Measurement and test of various analog circuits such as amplifiers, voltage regulators, filters, oscillators and mixers, with specific focus on important analog concepts such as frequency compensation, transfer functions and step response. | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 225 | EE6000 | Seminar Technical seminars Topics to be decided by Course Coordinator and students | 3 | 0 - 0 - 0 - 0 - 3 - 3 |
| 226 | EE6131 | Digital Filter Design IIR Filter Design: Review of classical analog filter design (Butterworth, Chebyshev, Elliptic)--design of digital filters based on continuous-time filters--mapping of differentials--impulse invariant transformation--modified impulse invariant transformation--bilinear transformation--matched z-transform technique--Padé approximation--Prony's method--Shank's method--spectral transformations for digital filters. FIR Filter Design: Review of conditions needed for precise linear phase--design techniques for linear phase FIR filters: (a) windowing method, (b) frequency sampling, (c) weighted Chebyshev approximation. Quantization Effects: Review of binary representation of numbers--truncation and rounding--coefficient quantization--roundoff noise--interaction of roundoff noise and dynamic range--scaling for parallel and cascade forms--limit-cycle oscillations--state-space structures--error spectrum shaping via feedback. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 227 | EE6111 | Spectral Estimation Introduction: The spectral estimation problem and its applications—classical and model-based approaches—issues in spectral estimation. Review of Probability, Statistics and Random Processes: Random process characterization—bias and variance—ergodicity. Classical Spectral Estimation: Periodogram—averaged periodogram—Blackman-Tukey spectral estimator—bias/variance trade-off. Parametric Modelling: Rational transfer function models—model parameter relationships to the auto-correlation—examples of AR, MA, and ARMA processes—issues in model fitting. Autoregressive Spectral Estimation: Properties of AR processes: connection to linear prediction and the minimum-phase property—Levinson-Durbin recursion—lattice filter representation—implied ACF extension—connection to maximum entropy spectral estimation—MLE of AR parameters—statistics of the MLE—spectral flatness measure and the effects of noise on the AR spectral estimator—AR spectral estimation algorithms (auto-correlation, covariance, modified covariance, and Burg)—model order selection. Moving Average Spectral Estimation: The MA spectral estimator—MLE estimation: Durbin's method—statistics of the MA parameter estimates. Autoregressive Moving Average Spectral Estimation: Maximum-likelihood estimation—statistics of the ML estimates—ARMA spectral estimation mthods (Akaike approximate MLE, modified Yule-Walker equations, least-squares modified Yule-Walker equations). Minimum Variance Spectral Estimation: Filtering interpretation of the periodogram—introduction to BLUE—the minimum-variance spectral estimator—comparison of MVSE and AR spectral estimators (statistical properties, resolution, and implied ACF extension). Sinusoidal Parameter Estimation: MLE of one sinusoid—extension to the multiple sinusoid case—eigenvector analysis of the covariance matrix—Pisarenko Harmonic Decomposition—principal component method—Kumaresan-Tufts method—MUSIC—approximate MLE methods—iterative filtering algorithm. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 228 | EE8005 | GIAN 161003M02: Complex Light 1. Basics of Gaussian beam optics and use in imaging (confocal. multi photon)2. Introduction to complex light: propagation invariant beams (Bessel, Airy) and Laguerre-Gaussian modes3. Dynamic diffractive optics: spatial light modulators and digital micro mirror devices for complex light generation4. Complex light for imaging, e.g., light sheet imaging, super-resolution spectroscopy (STED, SIM)5. Basics of optical micromanipulation, complex light for micromanipulation6. Complex light for enhanced depth penetration: biomedical studies, multimode fibres and applications | 6 | 2 - 0 - 0 - 0 - 6 - 0 |
| 229 | EE6415 | Nonlinear Systems Analysis 1. Mathematical preliminaries: Open and closed sets, compact set, dense set, Continuity of functions, Lipschitz condition, Vector space, norm of a vector, normed linear space, inner product space. 2. Examples of nonlinear systems drawn from mechanical, electrical, biological and chemical systems. Notion of equilibrium points and operating points, Jacobian linearization. 3. Second-order nonlinear systems , vector field, trajectories, flow, vector field plot, phase-plane portrait and positively invariant sets. Classification of equilibrium points based on the eigenvalues of the linearized system. Periodic solutions and the notion of limit cycles, Bendixson’s theorem and Poincare-Bendixson criteria. 4. Stability notions such as Lagrange, Lyapunov, asymptotic, global asymptotic, exponential, input-to-state (ISS) and instability. Lyapunov’s direct and indirect method, La Salle’s invariance principle and singular perturbations, set stability and stability of center manifold. Sum-of-Squares based construction of Lyapunov functions. 5. Design methods: Control laws based on Lyapunov function and Sliding mode control on benchmark examples. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 230 | EE5419 | Advanced Control Laboratory Some experiments from the following list will be offered: 1. Position control of inertia disk 2. Stabilization of an inverted pendulum on a cart 3. Position control of flexible-link manipulator 4. Way-point and trajectory tracking of mobile robots 5. IMU-based hovering control of quadrotor 6. Pitch and yaw stabilization of twin-rotor system 7. Experiments involving ARM programming, Lego kits and use of Matlab toolboxes in ML/RL | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 231 | EE4348 | Quantum Electronics and Lasers Time independent and time dependent Schrodinger equation, matrix formulation of quantum mechanics, electromagnetic field quantization. Interaction of radiation and atomic systems, Einstein's equations and laser oscillations. Electro-optic, acousto-optic and magneto-optic devices. The nonlinear optical susceptibility and its application in second harmonic generation and parametric amplification | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 232 | EE5004 | Seminar on the history of Electrical Engineering Introductory lecture on course expectations and evaluation Topics to be decided by Coordinator and students | 3 | 0 - 0 - 0 - 0 - 3 - 3 |
| 233 | ID4901 | Undergraduate Research Project (YRF) To be decided by the teacher | 9 | 0 - 0 - 9 - 0 - 0 - 0 |
| 234 | ID4902 | Undergraduate Research Project-II (YRF) To be decided by the teacher | 9 | 0 - 0 - 9 - 0 - 0 - 0 |
| 235 | EE5501 | Photonics Laboratory The laboratory will comprise of experiments on sources (LEDs, lasers) and detectors, phenomena such as interference and diffraction, properties such as polarisation and phase, light matter interaction such as absorption, amplification, Faraday effect and optical rotation. | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 236 | EE5507 | RF Systems Laboratory The laboratory will comprise of experiments that include characterisation of a microwave source, assembling a network analyzer, measurement of S-parameters of devices, microstrip and patch antenna fabrication and characterisation, radiation pattern measurement - single antenna and antenna arrays, modulation, detection and signal processing, THz imaging. Experiments will be supported with design and simulation exercises as applicable. | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 237 | EE5142W | Introduction to Information Theory and Coding 1) Entropy, Relative Entropy, and Mutual Information:Entropy, Joint Entropy and Conditional Entropy, Relative Entropy and Mutual Information, Chain Rules, Data-Processing Inequality, Fano’s Inequality2) Typical Sequences and Asymptotic Equipartition Property:Asymptotic Equipartition Property Theorem, Consequences of the AEP:Data Compression, High-Probability Sets and the Typical Set3) Source Coding and Data Compression:Kraft Inequality, Huffman Codes, Optimality of Huffman Codes4) Channel Capacity:Symmetric Channels, Properties of Channel Capacity, Jointly Typical Sequences, Channel Coding Theorem, Fano’s Inequality and the Converse to the Coding Theorem5) Differential Entropy and Gaussian Channel:Differential Entropy, AEP for Continuous Random Variables, Properties of Differential Entropy, Relative Entropy, and Mutual Information,Coding Theorem for Gaussian Channels6) Linear Binary Block Codes:Introduction, Generator and Parity-Check Matrices, Repetition and Single-Parity-Check Codes, Binary Hamming Codes, Error Detection withLinear Block Codes, Weight Distribution and Minimum Hamming Distance of a Linear Block Code, Hard-decision and Soft-decision Decoding of Linear Block Codes, Cyclic Codes, Parameters of BCH and RS Codes,Interleaved and Concatenated Codes7) Convolutional Codes:Encoder Realizations and Classifications, Minimal Encoders, Trellis representation, MLSD and the Viterbi Algorithm, Bit-wise MAP Decoding and the BCJR Algorithm | 12 | 3 - 1 - 0 - 0 - 8 - 0 |
| 238 | EE5312W | VLSI Technology Introduction: Overview of VLSICrystal structure and Single Crystal growth of siliconEpitaxyOxidationDiffusionIon-implantationLithographyDry and Wet EtchingChemical Vapour Deposition of thin filmsMetallizationMOSFET process flow with a view towards performance improvementBJT Process flow with a view towards performance improvementCurrent trends and challenges | 12 | 4 - 0 - 0 - 4 - 8 - 12 |
| 239 | EE6903+ | M.Tech Project 3 Project Work | 40 | 0 - 0 - 0 - 0 - 30 - 40 |
| 240 | ID4200 | Creative Engineering Project II This course will encompass all aspects of learning leading to, but not limited to, prototyping, developing innovative solutions to identified problems and exhibiting an understanding of the working of such solutions. The proposed mechanism of interaction between the faculty and students is as follows: A faculty member can propose a student project outlining the motivation, objectives, expectations of student time commitment and deliverables. A document with this content may be developed in collaboration with the students and shall act as a memorandum for the course. The students are expected to work in a self-motivated and self-monitored mode. However, they are encouraged to interact periodically with the faculty mentor and discuss progress documented in the form of periodic reports. The Advisor, co-curricular affairs shall be designated the course co-ordinator. The Advisor along with the faculty mentor will meet with the students at least twice during the course of the semester to assess progress. The Advisor, co-curricular will ensure that the Center for Innovation space and resources are available to the students and faculty should they choose to use the same. The faculty mentor shall assign a letter grade upon completion of the project based on a rubric that was agreed upon at the start of the semester. The students may work in teams but the role and contribution of each of the team members shall be clearly outlined in all reports submitted to the extent that such progress may be assessed for individual letter grade. At the end of the project, all students are expected to turn in a final report containing the complete details of the project for archival purpose. All project reports may be archived at cfi.iitm.ac.in in a keyword searchable format for future students’ use.While delivering project goals is important, the overarching objective of this course is to ensure that the students benefit technologically and realize the importance of planning, discipline and professionalism in the creative engineering process. This shall form the guiding principle for awarding letter grades. | 18 | 0 - 0 - 0 - 0 - 18 - 0 |
| 241 | EE6180W | Advanced Topics in Artificial Intelligence -- | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 242 | EE5178 | Modern Computer Vision ●Quick review of Deep Learning Multilayer perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) ●Low level vision Edge, line and corner detections; Image filtering; Features ●Geometry Single-view geometry; Stereo geometry; Multi-view geometry; Photometric stereo ●Mid-level vision Optical flow, Image segmentation; Tracking; CB Image Retrieval ●High-level vision Viola-Jones detector; Bag of words model; Deformable parts model; Object recognition and detection; Image captioning | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 243 | EE5179 | Deep Learning for Imaging 1. Basic Neural Network: Perceptron; Multi-layer Perceptron; Back propagation; Stochastic gradient descent; Universal approximation theorem; Applications in imaging such as for denoising. 2. Convolutional Neural Networks (CNN): CNN Architecture (Convolutional layer, Pooling layer, ReLu layer, fully connected layer, loss layer); Regularization methods such as dropout; Fine-tuning; Understanding and Visualizing CNN; Applications of CNN in imaging such as object/scene recognition. 3. Autoencoders: Autoencoder; Denoising auto-encoder; Sparse auto-encoder; Variational autoencoder; Applications in imaging such as segnet and image generation. 4. Recurrent Neural Network (RNN): Basic RNN; Long Short Term Memory (LSTM) and GRUs; Encoder-Decoder models; Applications in imaging such as activity recognition, image captioning. 5. Deep Generative Models: Restricted Boltzmann machine; Deep Boltzmann machine; Recurrent Image Density Estimators (RIDE); PixelRNN and PixelCNN; Plug-and-Play generative networks. 6. Generative Adversarial Network (GAN): GAN; Deep Convolutional GAN; Conditional GAN; Applications. 7. Deep Learning for Image Processing and Computational Imaging Denoising; Deblurring; Super-resolution; Color Filter Array design. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 244 | EE6000W | Seminar Technical seminars Topics to be decided by Course Coordinator and students | 3 | 0 - 0 - 0 - 0 - 3 - 3 |
| 245 | EE4999 | Undergraduate Research Project Nil | 9 | 0 - 0 - 0 - 0 - 9 - 0 |
| 246 | EE5158 | Communication Networks for IoT 1) Introduction to IoT and applications 2) Introduction to communication protocols 3) Basics of Digital Communications a) Modulation, Coding, Channel impairments (thermal noise, ISI, fading) b) Principles of Communication System–Link budget, battery life 4) Understanding wireless propagation a) Coverage, outage probability, margin in link budget 5) Networking concepts 6) Network performance a) Delay, throughput, availability 7) Enabling Technologies a) 5G–mMTC (Massive Machine Type Communications) b) 5G–URLLC (Ultra Reliable Low Latency Communications) 8) Comparison of technologies for IoT/CPS Communications a) NB-IoT, Bluetooth, ZigBee, LoRa, WiSUN, Wi-Fi(802.11ah), HC12, 9) Case Study for IoT Communications Network a) Intelligent transportation b) Electric mobility c) Water distribution networks | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 247 | EE6327 | Advanced Clock Generation Techniques Analog/digital fractional-N PLLs, injection locked ring oscillator, injection locked clock multiplier, sub-sampled PLLs, delay locked loop (DLL), multiplying Delay locked loop (MDLL), cascaded PLL/MDLL based frequency synthesis, open loop fractional frequency synthesis, fast start-up PLLs | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 248 | EE5705 | Data Analytics Lab Introduction to various Python toolkits: Numpy for handling arrays and matrices; SciPy for scientific computing; Matplotlib for data visualization; Pandas for data manipulation; SciKit Learn library for machine learning. Linear models for regression: Ordinary least squares; Ridge regression (l2 regularization); Lasso (l1 regularization); Elastic Net (l2-l1 regularization). Linear classification: Naive Bayes, Linear Discriminant Analysis (LDA); Logistics regression; Linear Support Vector Machine (SVM); l2 and l1 regularized versions of these algorithms. Non-linear algorithms: Kernel SVM, Random forest. Gradient Boosting, Neural network. Unsupervised learning: Dimensionality reduction techniques such as Principal Component Analysis (PCA), Clustering techniques such as k-Means clustering and Agglomerative clustering. | 6 | 0 - 0 - 3 - 0 - 3 - 6 |
| 249 | EE5178W | Modern Computer Vision ●Quick review of Deep LearningMultilayer perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN)●Low level visionEdge, line and corner detections; Image filtering; Features●GeometrySingle-view geometry; Stereo geometry; Multi-view geometry; Photometric stereo●Mid-level vision Optical flow, Image segmentation; Tracking; CB Image Retrieval●High-level visionViola-Jones detector; Bag of words model; Deformable parts model; Object recognition and detection; Image captioning | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 250 | EE5343W | Solar Cell Device Physics and Materials Technology Motivation (Energy), Limits (Efficiency), Electrical conductivity, Optical properties of semiconductors, Recombination dynamics, Transport equation, Application of transport equations, Photocurrent in p-n junctions, Solar cell configurations, Efficiencies (solar cell parameters) and spectral response, Losses in solar cells, Equivalent circuits, Measurement techniquesCrystalline Si solar cells, Heterojunctions-interfaces and cells, GaAs/AlGaAs solar cells, InP/CdS solar cells, Polycrystalline solar cells, Growth and fabrication techniques, 3rd generation solar cells-technology, ideas, designsBalance of Systems (Inverters), Lab Visit and hands on experience (CEC) | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 251 | EE5346W | Introduction to Plastic Electronics (1) Historical Background; Objectives and scopes; Basics of organic semiconductors (2) Localized Charge Transport; Concept of Polaron (3) Organic Electronic Devices: Diodes (4) Organic Field-Effect Transistors: Charge transport (5) Optoelectronic properties of Organic Semiconductors (6) Organic LED; Organic Light Emitting Transistors; Phosphorescent LED (7) Organic Solar Cells (8) Organic Photo-FET: Charge generation, recombination and transport (9) Organic TFT Chemical sensors (10) Brief introduction to frontier area of oxide semiconductors and graphene as the potential materials for plastic electronics | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 252 | EE5347 | Quantum Photonics Devices and Technology Wave Mechanics and Quantum States of Light: Wave Function, Eigen States and Superposition, Concept of Quantum Bit (Qubit), Cavity Quantum Harmonic Oscillator, Photon Statistics, Coherent States and Squeezed Light, Photon Number States Practical Devices for Quantum Photonic Functions:Generation of Entangled Photon Pairs and Heralded Single Photons, Beam Splitter/Filters, Mach-Zehnder Interferometer, Delay Line and Phase-Shifter, Photon Detection/Counters Integrated Quantum Photonics:Technology and Platforms, Quantum Random Number Generator (QRNG), On-chip Quantum Key Distribution (QKD), Linear Optical Quantum Computing (LOQC) with Photonic Qubit | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 253 | EE6332 | Modeling and Optimization in VLSI The current version of the course will focus on the following problems:- 1. Review of Level-1 SPICE model - Definition of Idlin, Idsat, Vtlin and Vtsat 2. Introduction to process variations 3. Statistical Compact Model Extraction (SCME) - Problem Formulation 4. Forward and Back propagation of variance. 5. Linear and Quadratic Back Propagation of variance. 6. Modeling Ioff and Non-linear optimization 7. Review of RC model of gate delay 8. Logical effort model for delay 9. Path delay optimization - Capacitance as variables 10. Buffering 11. Path delay optimization - Gate size as variables 12. Static Timing Analysis (STA) 13. Timing slack propagation 14. STA inspired node based gate sizing formulation 15. Introduction to Geometric Programs (GP) 16. Example GP problems and solutions 17. Gate sizing as a GP 18. Circuit timing wall 19. Alternate formulations including minimum area and power. 20. The continuous solution and convexity 21. Discretizing the continuous solution 22. Gate downsizing based on available slack 23. Introduction to Statistical Static Timing Analysis 24. Machine Learning in design optimization 25. Data preparation and curation 26. Simple Regression Models 27. Model building and application to physical design 28. Reinforcement learning | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 254 | EE3110A | Probability Foundations for Electrical Engineers Introduction to Probability: Sets, Events, Axioms of Probability, Conditional Probability and Independence, Bayes Theorem and MAP Decision Rule Random Variables: Definitions, Cumulative Distribution Functions, mass and density functions, joint and conditional distributions, Functions of Random Variables Expectations: Mean, Variance, Moments, Correlation, Chebychev and Schwarz Inequalities, Moment-generating and Characteristic Functions, Chernoff Bounds, Conditional Expectations Random Vectors: Jointly Gaussian random variables, Covariance Matrices, Linear Transformations, Diagonalization of Covariance Matrices Random Sequences: Sequences of independent random variables, correlation functions, wide-sense stationary sequences, LTI filtering of sequences Law of Large Numbers, Central Limit Theorem | 12 | 3 - 1 - 0 - 0 - 8 - 0 |
| 255 | EE5347W | Quantum Photonics Devices and Technology Wave Mechanics and Quantum States of Light: Wave Function, Eigen States and Superposition, Concept of QuantumBit (Qubit), Cavity Quantum Harmonic Oscillator, Photon Statistics, Coherent States and Squeezed Light, PhotonNumber States Practical Devices for Quantum Photonic Functions:Generation of Entangled Photon Pairs andHeralded Single Photons, Beam Splitter/Filters, Mach-Zehnder Interferometer, Delay Line and Phase-Shifter, PhotonDetection/Counters Integrated Quantum Photonics:Technology and Platforms, Quantum Random Number Generator(QRNG), On-chip Quantum Key Distribution (QKD), Linear Optical Quantum Computing (LOQC) with Photonic Qubit | 9 | 3 - 0 - 0 - 0 - 6 - 0 |
| 256 | EE6320W | RF Integrated Circuits 1. LC resonant circuits and RF impedance matching2. RF systems concepts – definitions of noise figure & IIP3; cascaded systems3. Design of Low noise amplifiers4. Design of active and passive mixers5. Design of LC Oscillators6. Design of Power amplifiers7. Transmitter and receiver architectures | 12 | 4 - 0 - 0 - 0 - 8 - 12 |
| 257 | EE6418 | Game Theory with Engineering Applications 1. Utility theory: Preference relations, von Neumann - Morgenstern expected utility theory, Prospect theory 2. Noncooperative Games: Strategic form games, dominant strategy equilibria, rationalizability and Nash equilibrium, Brouwer and Kakutani fixed point theorems and existence of Nash equilibrium, extensive form games, subgame perfect equilibrium, games with incomplete information, Bayesian games. 3. Mechanism Design: Social choice theory, incentive compatibility, revelation theorem, Gibbard-Satterthwaite theorem, Arrow's impossibility theorem, Vickrey-Clarke-Groves mechanisms, auctions and revenue equivalence theorem. | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
| 258 | EE5179W | Deep Learning for Imaging 1. Basic Neural Network:Perceptron; Multi-layer Perceptron; Back propagation; Stochastic gradient descent; Universal approximation theorem; Applications in imaging such as for denoising.2. Convolutional Neural Networks (CNN):CNN Architecture (Convolutional layer, Pooling layer, ReLu layer, fully connected layer, loss layer); Regularization methods such as dropout; Fine-tuning; Understanding and Visualizing CNN; Applications of CNN in imaging such as object/scene recognition.3. Autoencoders:Autoencoder; Denoising auto-encoder; Sparse auto-encoder; Variational autoencoder; Applications in imaging such as segnet and image generation.4. Recurrent Neural Network (RNN):Basic RNN; Long Short Term Memory (LSTM) and GRUs; Encoder-Decoder models;Applications in imaging such as activity recognition, image captioning.5. Deep Generative Models:Restricted Boltzmann machine; Deep Boltzmann machine; Recurrent Image Density Estimators (RIDE); PixelRNN and PixelCNN; Plug-and-Play generative networks.6. Generative Adversarial Network (GAN):GAN; Deep Convolutional GAN; Conditional GAN; Applications.7. Deep Learning for Image Processing and Computational ImagingDenoising; Deblurring; Super-resolution; Color Filter Array design. | 12 | 3 - 1 - 0 - 0 - 8 - 12 |
| 259 | EE6142W | Advanced Topics in Communications Will be stated by the instructor based in topics chosen | 9 | 3 - 0 - 0 - 0 - 6 - 9 |
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