University of California, Berkeley
Electrical Engineering and Computer Sciences Department

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Probability and Random Processes

Tue. and Thu.: 11:00 am. - 12:30 pm
150 GSPP

Prerequisite: EE20 

Text: "Introduction to Probability" by Bertsekas and Tsitsiklis

Discussion Sections:
Wednesday, 5:00 - 6:00 pm, 285 Cory
Thursday, 8:00 - 9:00 am, 141 Giannini

Professor Anant Sahai
267 Cory Hall
Office Hours:
Tuesday, 2:00 - 3:00 pm and Thursday, 2:00 - 3:00 pm
258 Cory Hall

Teaching Assistant:
Danijela Cabric
Office Hours:
Wednesday, 6:00 - 7:00 pm and Thursday, 9:00 - 10:00 am
197 Cory Hall


  • Welcome to EE126
  • Exam schedule: Midterm 1 (March 1st) and Midterm 2 (April 12th)
  • Regular tutorial sections (Jingyi Shao): Thursdays 5:00- 6:00 pm, and Fridays 10:00-11:00 am in Cory 293
  • New: Additional tutorial sections (Chuohao Yeo): Mondays 11:00 am-12:00 pm in Cory 533 (Starting March 7th)
  • Practice midterm (.pdf) review session: Friday February 25th  9:00-11:00 am in Cory 293
  • Practice midterm solutions (.pdf)
  • Special last-minute office hour before the midterm: Mon Feb 28 1pm-1:30 in 258 Cory with Prof. Sahai
  • Midterm 1 solutions
  • Midterm 1 histogram
  • Second Practice midterm (.pdf) review session: Friday April 7th  10:00-11:00 am in Cory 293
  • Second Practice midterm solutions (.pdf)
  • Midterm 2 solutions (.pdf)
  • Midterm 2 histogram
  • Take-home pseudo-final (part I) will be handed out in class on Thursday May 5 and will be due in class on Tuesday May 10. You can use it to substitute for low midterm score if you want to. No collaboration permitted. You are allowed to use textbook only. You are obliged by honor system to spend no more than 4 hours.  
  • Prof. Sahai will hold special Pre-Final office hours 5:30 – 7:30 pm on Wednesday May 11 in Cory 258
  • Take-home pseudo-final (.pdf)
  • Take-home pseudo-final solutions (.pdf)
  • Pseudo-final histogram
  • Final review session: Thursday May 12 4:00-6:00 pm in Cory 293
  • Final: May 18 at 8:00 am in 3106 Etchevery (open textbook only, no additional sheets or notes)
  • Final solutions (.pdf)

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Course Details:

·         Grading policy: Homeworks (10%), Midterm 1 (25%), Midterm 2 (25%), Final (40%)

·         We will follow the textbook reasonably closely in the ordering of the
material, though the presentation in lecture will expand on certain
portions beyond the textbook's treatment. The order is:  Ch 1, 2, 3, 4.1-3, Ch 7, Ch 4.4-7, Ch 5, 6

·         Academic Dishonesty Policy

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Lecture Notes:

"It is strongly recommended that you keep up with the reading and
read the relevant chapter before attending lecture. This way,
you will benefit most from the added intuition and emphasis given in
lecture. After lecture, you are strongly encouraged to try your hand at
every problem at the end of the chapter and come to office hours if you
can not solve any of them. Learning probability well is a matter of
practice --- doing the assigned homeworks alone will not guarantee that
you will learn the material well enough to perform in an exam situation.
Finally, you are encouraged to form study groups and to try and stump
each other with questions of your own devising."

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 Created by Danijela Cabric on January 19, 2005.
 Last updated 01/17/05