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: http://ccnet.utoronto.ca/20071/ece351h1s
Homework, handouts, grades, and announcements will be posted here.
Mondays 15:10 - 16:00; BA1200
Wednesdays 16:10 - 18:00; BA1220
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.
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.)