Course abstract
In this course we will cover discrete-time Markov chains and Poission Processes. Knowledge of basic probability is essential for this course. The mathematical rigor of the course will be at an undergraduate level. We will cover from basic definition to limiting probabilities for both discrete -time Markov chains. We will discuss in detail Poisson processes, the simplest example of a continuous-time Markov chain. The course will involve a lot of illustrative examples and worked out problems.
Course Instructor
Prof. Ayon Ganguly
Dr. Ayon Ganguly is an Assistant Professor in the Department of Mathematics, IIT Guwahati. His area of expertise is Statistics. He has offered courses on probability and statistics, stochastic processes, time series analysis to the B.Tech. (Mathematics and Computing) and M.Sc. (Mathematics and Computing) students of IIT Guwahati.More info
Prof. Subhamay Saha
Dr. Subhamay Saha is an Assistant Professor in the Department of Mathematics, IIT Guwahati. His area of expertise is Probability and Stochastic Processes. He has offered courses on probability, stochastic processes, stochastic calculus to the B.Tech. (Mathematics and Computing) and M.Sc. (Mathematics and Computing) students of IIT Guwahati.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Jan-Mar 2022
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Enrollment : 14-Nov-2021 to 31-Jan-2022
Exam registration : 13-Dec-2021 to 18-Feb-2022
Exam Date : 27-Mar-2022
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