CS-723 Probability and Stochastic Processes
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Course Category: Computer Science/Information Technology
Course Level: Graduate
Credit Hours: 3
Pre-requisites: MTH101, STA301
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Course Contents:
Introduction, Set Theory, Number Theory, Relations, Functions, Axioms of Probability Theory, Conditional Probability, Bayes’ Rule, Random Variables, Density Functions, Conditional Density Function, Uniform, Exponential & Gaussian Density Function, Expected Values, Moments, Joint Density, Marginal Density Function, Transformation of Random Variables, Conditional Expectations, Vectors and Sequence of Random Variables, Convergence of Sequences of Random Variables.
Course Instructor

Dr. Muhammad Akmal Butt
Ph.D, Georgia Institute of Technology, USA
Books

Probability, Random Variables and Stochastic Processes by A. Papoulis

Probability and Random Processes by Venkatarama Krishnan

Introduction to Stochastic Processes by G. Lawler