ELEC ENG 3TQ4
Probability & Random Processes
in Electrical Engineering
(Fall 2004)

Last updated: Tuesday, December 07, 2004

All the links have now been updated. If you are expecting anything to go up that is not already up please email me pronto.

Please check these updates:

• "Detailed Course Outline" now lists all the topics actually covered.

• "Lecture Key Point Summaries" now lists all book sections covered, and also has the slides from the last class (the review).

• "Tutorial Notes" now have all tutorials.

• "Problem Sets" now has all the solutions, including the two missing problems from problem set 10.

• "Helpful Material from Last Year" now has last year's final exam as well as last year's deferred final exam.

• "Quiz Solutions and Grades" has quiz 3 answers, quiz 3 grade distributions, the overall distribution for the term marks, term marks listed by student number (which you should check), and the formula sheet for the final exam.

If you have sent me email and are still waiting on a response I will be working through all these emails tonight (Dec. 7)

Last Review Session will be held tomorrow, Wednesday December 8, 3:30 - 5:30, BSB-B135

See you tomorrow night in Thode!

Teaching Assistants:

T.A. & Contact Info.	Office Hours

Mohamed E. Saad saadme@mcmaster.ca Ext. 23151	ITB-A202
Mohamed Rabie rabiema@mcmaster.ca Ext. 27281	CRL-205
Guirong (Rona) Zhou zhoug@mcmaster.ca Ext. 24521	Friday 11:30 - 1:30 CRL-110
Samer Rizk rizks2@mcmaster.ca Ext. 27281	CRL-205
Zhiyong Yan yanz2@mcmaster.ca Ext. 24087	Wednesday 10:00 - 12:00 ITB-A204
Tao Feng fengt@mcmaster.ca Ext. 27282	Friday 1:00 - 3:00 CRL-102

Textbook:

Required Text

Roy D. Yates & David J. Goodman. Probability & Stochastic Processes: A Friendly Introduction for Electrical & Computer Engineers. 2nd edition. John Wiley & Sons.

Alternate Texts

Kishor S. Trivedi. Probability and Statistics with Reliability, Queuing and Computer Science Applications. 2nd edition. John Wiley & Sons.
Alberto Leon-Garcia. Probability and Random Processes for Electrical Engineering. 2nd edition. Addison Wesley.

Course Objectives:

• To understand the concepts of probability and randomness, random variables, and random processes.
• To understand how these concepts arise and are useful in electrical engineering applications.
• To be able to construct probabilistic models to describe physical phenomena.
• To be able to test proposed probabilistic models (hypotheses).
• To be able to utilize all of the above in the analysis and optimal design of systems that involve randomness.

Assessment:

3 Quizzes: 9/23; 10/14; 11/18 In Class	15%
4 Labs	20%
Midterm 11/1 7:00-8:00 p.m. Locations: ABU-ABED – SINGH      ABB-B163 SIVANAND – ZIAEE      ABB-136	20%
Final Exam	45%

Labs:

• There will be 4 three-hour labs in ITB-142 (Note Change).
• There is a lab section on every day of the week from 2:30 to 5:30 p.m.
• First lab will be week of September 27.
• Details for each lab will be linked from this page the week before the lab.

Weekly Homework:

• Selected problems will be assigned each week.
• Homeworks will not be graded but you are highly encouraged to do them.
• The solution manual will be on reserve or on the web. No other solutions will be provided.

Policy Reminders

"The Faculty of Engineering is concerned with ensuring an environment that is free of all adverse discrimination. If there is a problem, that cannot be resolved by discussion among the persons concerned, individuals are reminded they should contact the Departmental Chair, the Sexual Harassment Officer or the Human Rights Consultant, as soon as possible."

"Students are reminded that they should read and comply with the Statement on Academic Ethics and the Senate Resolutions on Academic Dishonesty as found in the Senate Policy Statements distributed at registration and available at the senate office."

"Academic dishonesty consists of misrepresentation by deception or by other fraudulent means and can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads:  “Grade of F assigned for academic dishonesty”), and/or suspension or expulsion from the university.

It is your responsibility to understand what constitutes academic dishonesty.  For information on the various kinds of academic dishonesty please refer to the Academic Integrity Policy, specifically Appendix 3, located at http://www.mcmaster.ca/senate/academic/ac_integrity.htm 

The following illustrates only three forms of academic dishonesty:

1. Plagiarism, e.g. the submission of work that is not one’s own or for which other credit has been obtained.

2. Improper collaboration in group work.

3. Copying or using unauthorized aids in tests and examinations."