Lectures related to TI-Nspire series

Continuous-Time Markov Chains: Kolmogorov Equations

Covers the equations of Kolmogorov for continuous-time Markov chains.

Information Theory: Source Coding & Channel Coding

Covers the fundamentals of information theory, focusing on source coding and channel coding.

Covers stochastic models for communications, focusing on discrete-time Markov chains.

Explores the physical meaning of operator matrix elements in quantum mechanics, focusing on the classical limit and different picture representations.

Stochastic Models for Communications

Covers stochastic models for communication systems, including concepts like stochastic processes and Markov chains.

Random Permutations and Probabilities

Explores random permutations and probabilities in various scenarios.