Mathematics for Computer and Information science-3 (Probability and Stochastic Processes) – GAMAT301

Course Objectives

To familiarize students with the foundations of probability and analysis of random processes used in various applications in engineering and science.

1. Course Outcomes

At the end of the course students will be able to

CO1: Understand the concept, properties and important models of discrete random variables and to apply in suitable random phenomena.

CO2: Understand the concept, properties and important models of continuous random variables and to apply in suitable random phenomena.

CO3: Familiarize and apply limit theorems and to understand the fundamental characteristics of stochastic processes.

CO4: Solve problems involving Markov Chains, to understand their theoretical foundations and to apply them to model and predict the behavior of various stochastic processes.

1. Text Books (T)

1. (Text-1) Jay L. Devore, Probability and Statistics for Engineering and the Sciences,9^th edition, Cengage Learning, 2016.

2. (Text-2) Sheldon M. Ross, Introduction to Probability Models, 13^th edition, Academic Press, 2024.