# Rhea Section for ECE302, Professor Boutin, Spring 2013

MWF 12:30- 1:20pm in MSEE B012

Message Area:

• Homework 7 solution has been posted.

## Course Information

• Instructor: Prof. Mimi
• Teaching Assistant: Wei-Kang Hsu
• Email: hsu59 at purdue dot you know what
• Office hours: TF 2:00-4:00 pm EE209
• Schedule
• Course Syllabus
• Important Dates:
• Test 1: Friday February 8, 2013.
• Test 2: Wednesday April 3, 2013.
• Final: Wednesday May 1, 2013

## Textbook

Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Edition, by Alberto Leon-Garcia, Pearson Education, Inc., 2008, ISBN 0-13-601641-3

## Lecture Blog

• Week(1-4):
1, 2, 3, 4,5, 6, 7,8,9,10,11
• Week(5-8)
12,13,14,15,16,17,18,19,20,21,22,23
• Week(9-12) <Week 10- Spring Break!>
24,25,26,27,28,29,30,31,32
• Week(13-16)
33,34,35,36,37,38,39,40,41,42,43,44
• Week(17) Final Exam Week
Final exam is on Wednesday May 1, 1:00p - 3:00p STEW 130

## Homework

• HW1
• HW2
• HW3
• HW4
• HW5
• HW6
• HW7 (Includes all practice problems assigned after the lecture-- see lecture blogs )

## Exercises

1. Invent a problem on conditional probability or independence and share it with your classmates (0.5% course grade bonus)
2. Find a mistake in your classmates' solutions (0.5% course grade bonus)
3. Invent a problem on expectation and/or variance of a discrete random variable (0.5% course grade bonus)
5. Explain the stationary increment property of sum processes (0.5% course grade bonus)

## Class Project

Students in ECE302 Spring 2013 have the opportunity to earn up to a 3% bonus by contributing a Rhea page on a subject related to probability. To pick a subject, simply write your name next to it. Your page will be graded based on content as well as interactions with other people (page views, comments/questions on the page, etc.). The number of links to other courses and subjects will also be taken into account: the more the merrier! Please do not simply copy the lecture notes and do not plagiarize. Read Rhea's copyright policy before proceeding.

Topic Number Topic Description Student Name/nickname
0 Project Template
1 Methods of generating random variables Zhenming Zhang
2 Applications of Poisson Random Variables Trevor Holloway
3 Something related to Exponential random variables Name
4 Something related to Gaussian random variables Name
5 Something related to the Estimation of random variables Name
6 Automatic music composition project Name
7 TF101 Slectures Bob Wayner
8 Correlation vs. Covariance Blue

## Alumni Liaison

Have a piece of advice for Purdue students? Share it through Rhea!

Alumni Liaison