Essentials of Math Modeling - Session 5 - Probabilistic Models

This course on probabilistic models aims to teach students the fundamentals of math modeling using MATLAB. By the end of the session, learners will be able to understand and apply concepts such as simple models, Markov models, long-term behavior, matrix multiplication, and the Metropolis-Hastings algorithm. The teaching method involves a combination of theoretical explanations, practical exercises, and problem-solving sessions. This course is intended for students interested in enhancing their mathematical modeling skills, particularly those familiar with MATLAB.