ENGS 27: Discrete and Probabilistic Systems

Offered

14F: 10A
Cybenko

Textbooks  
Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, Yates and Goodman, 2nd Edition, ISBN 0471272140

Schaum’s Outline of Probability, Random Variables, and Random Processes, 2nd Edition, ISBN 0071632891

15F: 10A
Cybenko

Prerequisites

MATH 8 and either ENGS 20 or COSC 1 and COSC 10. PHYS 13 or CHEM 5 recommended.

Dist

TAS

This course is an introduction to probabilistic methods for modeling, analyzing, and designing systems. Mathematical topics include the fundamentals of probability, random variables and common probability distributions, basic queueing theory, and stochastic simulation. Applications, drawn from a variety of engineering settings, may include measurement and noise, information theory and coding, computer networks, diffusion, fatigue and failure, reliability, statistical mechanics, ecology, decision making, and robust design.