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*Week(5-8) | *Week(5-8) | ||
:[[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]] | :[[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]] | ||
| − | *Week(9-12) | + | *Week(9-12) <Week 10- Spring Break!> |
:[[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]] | :[[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]] | ||
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Revision as of 05:53, 7 March 2013
Rhea Section for ECE302, Professor Boutin, Spring 2013
MWF 12:30- 1:20pm in MSEE B012
Message Area:
Please come to the VIP Poster Session Wednesday March 27th at 5:30pm in the MSEE Atrium. The current students will be there to talk about the research they are doing, and there will be pizza and soda.
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):
- Week(5-8)
- Week(9-12) <Week 10- Spring Break!>
Collectively Solved Practice Problems
- Definition of a set
- Set operations
- Conditional Probability
- Discrete Random Variables
- Continuous random variables
- Normalizing the probability mass function of a Gaussian random variable
- Obtaining the joint pdf from the marginal pdfs of two independent variables
- Compute a probability
- Find the CDF
- Compute the mean
- Compute the zero-th order moment of a Gaussian
- Compute the first order moment of a Gaussian
- Compute the second order moment of a Gaussian
- Comparing probabilities for different Gaussians
- Compute the probability that a meeting will occur
- Find the conditional probability density function
- Find the conditional probability density function (again)
- Find the conditional probability density function (conditioned on an event this time)
Homework
- HW1
- HW2
- HW3
- HW4
- HW5 (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
- 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)
- Invent a problem on expectation and/or variance of a discrete random variable
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 |
