Course Details

Course details of EE2703
Course NoEE2703
Course TitleApplied Programming Lab
Credit5
Course Content- Basic Programming Fundamentals for EE (mostly using Python): Data types, control structures, functions, and object-oriented programming with examples from circuit analysis and electronic systems - Scientific Computing Tools: NumPy for numerical computations, Matplotlib for data visualization, and similar tools - Numerical Methods in EE: solving systems of linear equations relevant to circuit analysis, numerical integration - Curve Fitting and Regression: Linear and nonlinear regression techniques, least squares fitting - Optimization Techniques: Implementation of gradient descent, simulated annealing - Performance Optimization: profiling code, identifying bottlenecks, and techniques for improving computational efficiency - Application examples broadly from the EE domain
Course Offered this semesterNo
Faculty Name