Lectures related to Source-code editor

Covers source coding, cryptography, and channel coding for communication systems.

Covers exercises on the Lyapunov method in non-linear control systems, focusing on stability analysis and Lyapunov functions.

Covers data compression techniques, including source coding and unique decodability concepts.

Covers the wrapping and decoding process of polar codes, exploring the trade-off between quality and efficiency in lossy compression.

Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.

Covers the design and analysis of chemical reactors, focusing on Packed Bed Reactors and Continuous Stirred Tank Reactors.

Covers the programming of GUI elements using Matlab/Octave, including user interaction and file handling.

Covers neurophysiological data analysis, including data structure organization and action potential detection.