This course introduces signal processing, a field that analyzes, manipulates, and processes signals (information-carrying physical quantities). Signals can be continuous (like sound waves) or discrete (like digital data).

The main point in this course:

·       Signal types (continuous, discrete, etc.)

·       Common processing tasks (filtering, amplification, etc.)

·       Mathematical tools for analysis (Fourier Transform, Laplace Transform)

·       Applications in various fields (communication, audio/video, medicine)

This valuable skillset is sought after in communication, audio/video, control systems, and data science fields.