


Introduction to Signals and Systems
This lecture overviews Signals and Systems. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel signals come next.



Continuous-time Signals and Systems
This lecture overviews continuous-time Signals and Systems topics. Continuous-time signals are presented: periodic signals, delta function, unit step signal, exponential signal, trigonometric signals, complex exponential signal.



Statistical Detection
This lecture overviews Statistical Detection that has many applications in Machine Learning, Signal Analysis and Statistical Communications.



Explainable AI
This lecture overviews Explainable AI that has many applications in trustworthy AI systems and autonomous systems.



Imitation Learning
This lecture overviews Imitation Learning (IL) that has many applications in Game Development, robotics training, Autonomous Driving and Computational Cinematography.



Privacy Protection, Ethics and Regulations for Autonomous Cars
This lecture overviews Privacy Protection, Ethics and Regulations that have many applications in Autonomous Cars.