ECE351S - Probability and Random Processes

Description: Engineers and scientists deal with systems, devices, and environments that contain unavoidable elements of randomness. To understand, analyze, and optimize in an uncertain world, probability theory is developed as a mathematical tool to logically reason about uncertainty. This course provides an introduction to probabilistic modeling, statistical techniques, and random processes for 3rd-year engineering students.

Instructor: Prof. Ben Liang
Office: BA4122 (through the doors labeled BA4113 or BA4145)

Textbook: A. Leon-Garcia, Probability and Random Processes for Electrical Engineering, Second Edition, Addison Wesley, ISBN 0-201-50037-X (required).

Course Website:
Homework, handouts, grades, and announcements will be posted here.

Mondays 15:10 - 16:00; BA1200
Wednesdays 16:10 - 18:00; BA1220

Office Hours:
Mondays 16:10 - 17:00
Tuesdays 14:10 - 15:00
Wednesdays 15:10 - 16:00
Thursdays 13:10 - 14:00

Homework: Homework will be assigned and collected each week. This is a course almost completely in mathematics, where each new concept builds on previous concepts. To do well in this course you must keep up-to-date with the class schedule. The best way to make sure of this is to work out  the homework questions before new materials are covered.

Grading Policy:
Homework: 10%
Midterm Exam: 40%
Final Exam: 50%

TUT01: Mondays 16:10 - 17:0; BA3004
TUT02: Mondays 16:10 - 17:0; BA2159

Approximate Schedule of Topics: (See course website for actual lecture-by-lecture schedule.)

Last Modified: March 2007.