ECE302H1S 2007 - Probability and Random Processes


Description: Engineers and scientists deal with systems, devices, and environments that contain unavoidable elements of randomness. Probability theory is a mathematical tool that allows logical ways to reason about knowledge and uncertainty. This course introduces 3rd-year electrical and computer engineering students to basic concepts in probability theory.

Textbook: A. Leon-Garcia, Probability and Random Processes for Electrical Engineering, Second Edition, Addison Wesley, ISBN 0-201-50037-X.
Note: According to the publisher, the third edition of this textbook will be available in our campus bookstore around the last week of January. This new edition contains all materials that we will cover in this course (although with slight changes in organization). You are allowed to use the new edition in this course if you find it better suit your needs and have access to the second edition until the new edition arrives.

Instructor and Course Coordinator:
Prof. Ben Liang
Office: BA 4122
Phone: 416-946-8614
Email: liang(AT)comm.utoronto.ca
http://www.comm.utoronto.ca/~liang

Office hours: TBA

 

Lectures:
Tuesdays 13:00 - 14:00; GB244
Wednesdays 14:00 - 15:00; GB248
Thursdays 12:00 - 13:00; GB248
 

Teaching Assistants:
Cindy Guo (Coordination), cindy.guo(AT)utoronto.ca
Saeed Moradi (TUT01, Mondays 9:00 - 11:00, WB342), saeed(AT)comm.utoronto.ca
Yunfeng Lin (TUT02, Thursdays 17:00 - 19:00, WB219), ylin(AT)eecg.toronto.edu

Course Website: https://ccnet.utoronto.ca/20081/ece302h1s/
Homework, handouts, grades, and announcements will be posted here. Students are required to check it every few days for new information.

Homework:
While ECE302 is one of the most interesting and useful courses in electrical and computer engineering, it is also one of the most challenging 3rd year courses, so it is critical that you take this course seriously immediately. It 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 accomplish this is to exercise. Homework problems will be announced. They will not be collected, but you are required to work out  the homework problems before new materials are covered.

Tutorials:
In tutorials, teaching assistants will cover homework exercise problems, take questions from students, and present extended examples of applications of probability theory. Further, there will be one 10-minute quiz in each tutorial. These quizzes will be closed-book. The purpose of these quizzes is to help keep you up to date with the class material, so they will be designed to be quite easy you should ace these quizzes if you attend the lectures and read the textbook. Tutorials begin in the week of January 14, 2008.

Grading Policy:
Tutorials: 15%
Midterm Exam: 35%
Final Exam: 50%

Lecture Schedule: A detailed lecture schedule can be found in the handouts section of this web site.


Last Modified: January 30, 2008.