COVID-19 Information

ENGS 27 - Discrete and Probabilistic Systems

Description

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.

Prerequisites

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

Distribution Code

TAS

Offered

Term
Time
Location / Method
Instructor(s)
Term: Fall 2023
Time: C
Location:
Instructors:

George Cybenko


Term: Summer 2023
Time: F
Location:
Instructors:

George Cybenko


Term: Fall 2022
Time: C
Location:
Instructors:

George Cybenko


Term: Summer 2022
Time: F
Location:
Instructors:

George Cybenko


Term: Summer 2021
Time: F
Location:

Remote with synchronous components

Instructors:

George Cybenko


Term: Fall 2021
Time: 10
Location:

MacLean B01

Instructors:

George Cybenko