**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.