Revision as of 09:16, 5 February 2013

Rhea Section for ECE302, Professor Boutin, Spring 2013

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

Message Area:

1. There is a new bonus point opportunity! Find a mistake in your classmates answers, and earn up to 0.5% bonus points on your course grade. See details |here.

2. It's time to start working on the third homework assignment. Don't delay!

Course Information

Instructor: Prof. Mimi
- Office: MSEE 342
- Office hours are listed here.
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: TBD

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)

24,25,26,27,28,29,30

Collectively Solved Practice Problems

Definition of a set
- Do these signals form a set?
Set operations
- Union of two sets
- Union of two sets (again)
Conditional Probability
- Explain the Monty Hall problem using conditional probability

Homework

HW1
HW2
HW3
HW4(Will include all problems assigned after the lecture-- see lecture blogs )

Homework Discussion and Solutions

Materials Covered

Probability Models (Ch.1)
Axioms of Probability, counting, conditional probability, independence(Ch.2)
Random variables, Expected value and moments, probability mass function (Ch.3)
Cumulative distribution function, functions of a random variable (Ch.4)
Two random variables(r.v.), joint cdf of 2 r.v., independence of 2 r.v., conditional expectation (Ch.5)
Vector r.v., jointly Gaussian r.v, estimation of r.v. (Ch.6)
Definition of Random Processes(r.p.), Poison r.p., Random Walk (Ch.9)
Power spectral density, response of linear systems to random signals (Ch.10)

Relevant Resources

Honors Projects

Oluwatosin Adeosun

Your turn! Bonus Point opportunities

Exercises

Invent a problem on conditional probability or independence and share it with your classmates (0.5% course grade bonus)
Find a mistake in your classmates' solutions (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
1	Something related to generating random variables	Name
2	Something related to Poisson random variables	Name
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

Back to List of Course Wikis

@@ Line 35: / Line 35: @@
 == Lecture Blog  ==
 *Week(1-4):
-[[Lecture1_blog_ECE302S13_Boutin|1]],
+:[[Lecture1_blog_ECE302S13_Boutin|1]], [[Lecture2_blog_ECE302S13_Boutin|2]], [[Lecture3_blog_ECE302S13_Boutin|3]], [[Lecture4_blog_ECE302S13_Boutin|4]],[[Lecture5_blog_ECE302S13_Boutin|5]], [[Lecture6_blog_ECE302S13_Boutin|6]], [[Lecture7_blog_ECE302S13_Boutin|7]],[[Lecture8_blog_ECE302S13_Boutin|8]],[[Lecture9_blog_ECE302S13_Boutin|9]],[[Lecture10_blog_ECE302S13_Boutin|10]],[[Lecture11_blog_ECE302S13_Boutin|11]]
-[[Lecture2_blog_ECE302S13_Boutin|2]],
-[[Lecture3_blog_ECE302S13_Boutin|3]],
-[[Lecture4_blog_ECE302S13_Boutin|4]],
-[[Lecture5_blog_ECE302S13_Boutin|5]],
-[[Lecture6_blog_ECE302S13_Boutin|6]],
-[[Lecture7_blog_ECE302S13_Boutin|7]],
-[[Lecture8_blog_ECE302S13_Boutin|8]],
-[[Lecture9_blog_ECE302S13_Boutin|9]],
-[[Lecture10_blog_ECE302S13_Boutin|10]],
-[[Lecture11_blog_ECE302S13_Boutin|11]]
 *Week(5-8)
-[[Lecture12_blog_ECE302S13_Boutin|12]],
+:[[Lecture12_blog_ECE302S13_Boutin|12]],[[Lecture13_blog_ECE302S13_Boutin|13]],[[Lecture14_blog_ECE302S13_Boutin|14]],[[Lecture15_blog_ECE302S13_Boutin|15]],[[Lecture16_blog_ECE302S13_Boutin|16]],[[Lecture17_blog_ECE302S13_Boutin|17]],[[Lecture18_blog_ECE302S13_Boutin|18]],[[Lecture19_blog_ECE302S13_Boutin|19]],[[Lecture20_blog_ECE302S13_Boutin|20]],[[Lecture21_blog_ECE302S13_Boutin|21]],[[Lecture22_blog_ECE302S13_Boutin|22]],[[Lecture23_blog_ECE302S13_Boutin|23]]
-[[Lecture13_blog_ECE302S13_Boutin|13]],
+*Week(9-12)
-[[Lecture14_blog_ECE302S13_Boutin|14]],
+:[[Lecture24_blog_ECE302S13_Boutin|24]],[[Lecture25_blog_ECE302S13_Boutin|25]],[[Lecture26_blog_ECE302S13_Boutin|26]],[[Lecture27_blog_ECE302S13_Boutin|27]],[[Lecture28_blog_ECE302S13_Boutin|28]],[[Lecture29_blog_ECE302S13_Boutin|29]],[[Lecture30_blog_ECE302S13_Boutin|30]]
-[[Lecture15_blog_ECE302S13_Boutin|15]],
-[[Lecture16_blog_ECE302S13_Boutin|16]],
-[[Lecture17_blog_ECE302S13_Boutin|17]],
-[[Lecture18_blog_ECE302S13_Boutin|18]],
-[[Lecture19_blog_ECE302S13_Boutin|19]],
-[[Lecture20_blog_ECE302S13_Boutin|20]],
-[[Lecture21_blog_ECE302S13_Boutin|21]],
-[[Lecture22_blog_ECE302S13_Boutin|22]],
-[[Lecture23_blog_ECE302S13_Boutin|23]],
-[[Lecture24_blog_ECE302S13_Boutin|24]],
-[[Lecture25_blog_ECE302S13_Boutin|25]],
-[[Lecture26_blog_ECE302S13_Boutin|26]],
-[[Lecture27_blog_ECE302S13_Boutin|27]],
-[[Lecture28_blog_ECE302S13_Boutin|28]],
-[[Lecture29_blog_ECE302S13_Boutin|29]],
-[[Lecture30_blog_ECE302S13_Boutin|30]]
 ----
 == Collectively Solved [[:Category:Problem_solving|Practice Problems]]  ==

Difference between revisions of "2013 Spring ECE 302 Boutin" - Rhea