


Z Transform
This lecture overviews Z Transform that has many applications in signal processing and systems theory.



Signal Sampling
This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis.



Laplace Transform
This lecture presents Laplace Transform (LT) and its region of convergence. Its relation to Laplace transform is presented. Notable LT properties are reviewed: time shift, convolution, signal differentiation/integration.



Mathematical brain modeling
This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks. It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).



Wireless Communication Networks
This lecture overviews Wireless Communication Networks that has many applications in autonomous systems.
Probabilistic Logics to Neuro-Symbolic Artificial Intelligence
A central challenge to contemporary AI is to integrate learning and reasoning.