STAT 171 - Introduction to Stochastic Processes Learning Course

[STAT 171 - Introduction to Stochastic Processes Learning Course] STAT 171 - Introduction to Stochastic Processes STAT 171 introduces students to stochastic processes, which are mathematical models used to describe the evolution of random variables over time or space. The course covers topics such as Markov chains, Poisson processes, Brownian motion, and applications in queuing theory and finance. Students learn how to analyze the behavior of stochastic processes, derive probabilistic properties, and make predictions about future outcomes. Through theoretical principles and practical examples, students develop skills in modeling random phenomena, simulating stochastic processes, and applying probabilistic methods to solve real-world problems. STAT 171 prepares students for advanced coursework in probability theory, mathematical finance, and applications in diverse fields such as operations research, telecommunications, and environmental modeling.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.