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== Course Information == | == Course Information == | ||
Revision as of 09:42, 12 February 2013
Rhea Section for ECE302, Professor Boutin, Spring 2013
MWF 12:30- 1:20pm in MSEE B012
Message Area:
Don't forget to try out the following practice problem on pmf normalization.
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)
Collectively Solved Practice Problems
- Definition of a set
- Set operations
- Conditional Probability
- Discrete Random Variables
Homework
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
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 |
