Rhea Section for ECE302, Professor Boutin, Spring 2013

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

Message Area:

  • Sample quizzes has been uploaded to help you to review the final exam!
  • 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

Collectively Solved Practice Problems


Quizzes


Homework

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

Homework Discussion and Solutions


Relevant Resources


Honors Projects


Your turn! Bonus Point opportunities

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)
  4. Share your solution of hw 5 (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

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