EE126
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
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Lecturer:
Professor Anant Sahai
sahai@eecs.berkeley.edu
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
danijela@eecs.berkeley.edu
Office Hours:
Wednesday, 6:00 - 7:00 pm and Thursday, 9:00 - 10:00 am
197 Cory Hall
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- 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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Grading policy: Homeworks (10%), Midterm 1 (25%), Midterm 2 (25%),
Final (40%)
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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
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Academic Dishonesty Policy
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"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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- "Doing homeworks and studying the
solutions are an essential part of
learning this material. To promote this, we have a special homework
policy:
Students are expected to turn in copies of their
assignments in lecture
when due. Before the next lecture, they are expected to grade their
own
homeworks (using the originals with them) on the basis of the posted
solutions. The detailed grades (0,1,2 points per distinct part of
every
problem) should be emailed to the GSI. These grades will be the basis
of
your HW grade for the course and will be randomly compared against the
reader grades. If you don't submit grades to your homework, you
are
asking to get a zero on the assignment."
- Homework 1, Solution
- Homework 2, Solution
- Homework 3, Solution
- Homework 4, Solution
- Homework 5, Solution
- Homework 6, Solution
- Homework 7, Solution
- Homework 8, Solution
- Homework 9, Solution
- Homework 10, Solution
- Homework 11, Solution
- Homework 12, Solution
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