| Line 17: | Line 17: | ||
*Teaching Assistant: Wei-Kang Hsu | *Teaching Assistant: Wei-Kang Hsu | ||
**Email: hsu59 at purdue dot you know what | **Email: hsu59 at purdue dot you know what | ||
| − | **Office hours: | + | **Office hours: T 1:30-3:30 / R 1:00-3:00 pm EE209 |
*[[LectureScheduleECE302Spring13_Boutin|Schedule]] | *[[LectureScheduleECE302Spring13_Boutin|Schedule]] | ||
*[[Media:SyllabusECE301S13boutin.pdf|Course Syllabus]] | *[[Media:SyllabusECE301S13boutin.pdf|Course Syllabus]] | ||
| Line 39: | Line 39: | ||
== Lecture Blog == | == Lecture Blog == | ||
[[Lecture1_blog_ECE302S13_Boutin|Lecture 1]], [[Lecture2_blog_ECE302S13_Boutin|2]], [[Lecture3_blog_ECE302S13_Boutin|3]] | [[Lecture1_blog_ECE302S13_Boutin|Lecture 1]], [[Lecture2_blog_ECE302S13_Boutin|2]], [[Lecture3_blog_ECE302S13_Boutin|3]] | ||
| + | ---- | ||
| + | ==Materials Cover== | ||
| + | *1. Probability Models (Ch.1) | ||
| + | *2. Axioms of Probability, counting, conditional probability, independence(Ch.2) | ||
| + | *3. Random variables, Expected value and moments, probability mass function (Ch.3) | ||
| + | *4. Cumulative distribution function, functions of a random variable (Ch.4) | ||
| + | *5. Two random variables(r.v.), joint cdf of 2 r.v., independence of 2 r.v., conditional expectation (Ch.5) | ||
| + | *6. Vector r.v., jointly Gaussian r.v, estimation of r.v. (Ch.6) | ||
| + | *7. Definition of Random Processes(r.p.), Poison r.p., Random Walk (Ch.9) | ||
| + | *8. Power spectral density, response of linear systems to random signals (Ch.10) | ||
---- | ---- | ||
== Relevant Resources == | == Relevant Resources == | ||
Revision as of 07:05, 5 January 2013
Contents
Rhea Section for ECE302, Professor Boutin, Spring 2013
MWF 12:30- 1:20pm in MSEE B012
Message Area:
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: T 1:30-3:30 / R 1:00-3:00 pm EE209
- Schedule
- Course Syllabus
- Important Dates:
- Test 1
- Test 2
- 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
Homework
- HW1
- Hw2
- Hw3
Lecture Blog
Materials Cover
- 1. Probability Models (Ch.1)
- 2. Axioms of Probability, counting, conditional probability, independence(Ch.2)
- 3. Random variables, Expected value and moments, probability mass function (Ch.3)
- 4. Cumulative distribution function, functions of a random variable (Ch.4)
- 5. Two random variables(r.v.), joint cdf of 2 r.v., independence of 2 r.v., conditional expectation (Ch.5)
- 6. Vector r.v., jointly Gaussian r.v, estimation of r.v. (Ch.6)
- 7. Definition of Random Processes(r.p.), Poison r.p., Random Walk (Ch.9)
- 8. Power spectral density, response of linear systems to random signals (Ch.10)
