EECS 126: Probability and Random Processes

Spring 2004

University of California at Berkeley
Dept of Electrical Engineering & Computer Sciences

Announcements | Administrative Info | Course Info | Background Reading | Homework and Solutions | Exams and Quizzes | Discussions


Announcements

Professor Tse will be having office hours from 2:00-3:00 on TODAY and from 3:00-4:00 on Monday.

Final review will be held on May 13th (Thursday) 3-5pm in 241 Cory.

An easy-to-read and demo-enquipped tutorial on applying Viterbi algorithm in text recognition can be found here.

ROOM CHANGE for May 4 and May 6 classes. Classes will be held in 521 Cory (Hogan Room) at the usual time (9:30-11:00).

Links for the examples on speech recognition from EE20 are here: Voder, Vocoder

The statistics of the second midterm is here.

A FREE software to create PDF file from WORD etc is provided via this link.

previous announcements...


Administrative Info

Instructor:   David Tse, Room 261M Cory Hall, 642-5807, dtse@eecs.berkeley.edu

Office hours:   TTh 3:00-4:00

Teaching Assistant:   Minghua Chen, (minghua@eecs.berkeley.edu), Room: 493 Cory; Office hours: M 3-4pm, Tu/W 4-5pm

Reader:   Walter Carlos Richter (wrichter@eecs.berkeley.edu)

Administrative Assistant:   Chris Colbert, Room 231 Cory Hall, 642-8458, chrisc@eecs.berkeley.edu

Course web site:   http://inst.EECS.Berkeley.EDU/~ee126

Lectures:   T-Th, 9:30-11:00 in 160 Kroeber.

Discussions:   W 5:00-6:00 in 285 Cory; Th 8:00-9:00a.m. in 9 Lewis


Course Info

Description:

This course covers the fundamentals of the tools of probabilistic modeling useful in a diverse range of EECS fields, such as networks, communication, signal processing, and control.

Prerequisite:

Basic knowledge of calculus and exposure to mathematical concepts such as sets, functions, etc.

Evaluation:

There will be weekly problem sets (20% of the course grade), two midterms (20% each), and a final exam (40% of grade). The first midterm will be in class on 26 February.

Texts:


Course Outline


Background Reading


Exams and Quizzes

Diagnostic Quiz

Practice midterms for midterm 1: Spring 98, Spring 99, Fall 99 Fall 98(solution)

Practice midterms for midterm 2: Fall 97,     Fall 98   F98 Midterm 2 Solutions,     Fall 99   F99 Midterm 2 Solutions,     Fall 2002

Practice final: Fall 99 Review,     Fall 99(problem 3 not required)

Fall '01 practice final: Final – Fall 2001       Solutions

Spring '99 practice final: Final – Spring 1999       No solutions

Midterm #1       Solutions

Midterm #2       Solutions


Homework and Solutions (policy)

Homework #1 Solution

Homework #2 Solution

Homework #3 Solution (Code to generate problem 6's plots using mathemetica, which can deal with {200 \choose k}, thanks Jonathan for providing the code)

Homework #4 Solution

Homework #5 Solution

Homework #6 Solution

Homework #7 - REVISED Solution

Homework #8 Solution

Homework #9 Solution (revised)

Revised Homework #10 Solution (revised)

Homework #11 Solution (revised)


Discussions

Week #2 Solutions: version 1 (by Jack Chu and James Lin) version 2 a b c (by Delynn and Vineet)

Week #3 Solutions: version 1 (by Sagnik and Harriet) version 2 (by Maryam)

Week #4 (revised 02/13/04) Solutions: version 1 part a part b(by Quan)

Week #5

Week #7

Week #8

Week #9

Week #11 Solutions: version 1 (by Bryan Lin and Haidang) version 2 (by Andre Tjokro)

Week #12 Solutions: version 1 part A (by Christine and ) version 2 (by Sammy)

Week #13 Solutions: version 1 (by Valerie and Alan) version 2 (by Sara) Version 3A B (by Chris)

Week #14 Solutions: version 1 (by William and Robert) version 2 (by Jansen)

Week #15Solutions: version 1 (by Ted) version 2 (by Yong Da (Paul))

Week #16 Solutions: version 1 (by Richard) version 2 (by Liliya)