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Lecture Notes
Lecture Notes & Learning Resources
This section provides a structured collection of lecture notes covering core and advanced topics in Electrical and Electronic Engineering. The materials are designed to support clear understanding, strong theoretical foundations, and practical problem-solving skills across courses such as Circuit Theory, Signals and Systems, Digital Signal Processing, Electromagnetics, Digital Logic Design, Probability and Stochastic Processes, and Digital Image Processing.
Core Engineering
Circuit Theory I
Fundamental concepts of electrical circuits, including Ohm’s law, KCL, KVL, and basic analysis techniques.
Circuit Theory II
Advanced circuit analysis covering transient behavior, AC analysis, frequency response, and Laplace methods.
Circuits and Networks
Network analysis techniques including nodal/mesh methods, network theorems, and multi-port systems.
Signal & AI
Signals and System
Analysis of continuous and discrete signals, system behavior, convolution, and time-frequency
Digital Image Processing
Techniques for image enhancement, segmentation, feature extraction, and computer vision applications.
Digital Signal Processing
Digital processing of signals including filtering, FFT, spectral analysis, and discrete-time systems.
Systems & Theory
Electromagnetics I
Introduction to electric fields, electrostatics, Gauss’s law, and fundamental electromagnetic principles.
Electromagnetics II
Advanced topics including Maxwell’s equations, wave propagation, and electromagnetic field behavior.
Probability and Stochastic Process
Probability theory and stochastic models applied to engineering systems and signal analysis.
Systems & Theory
Digital Logic Design
Design and analysis of digital systems using logic gates, Boolean algebra, and sequential circuits.