Lectures related to Random Walks on Discrete Spaces

Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.

Covers statistical analysis techniques, hypothesis testing, and distribution models using R software.

Explores extremal limit theorems, statistical analysis, and asymptotic independence models for rare events.

Covers arrival and departure processes, Poisson distributions, service times, and system performance evaluation.