Line 8: Line 8:
 
<div style="border-bottom: rgb(68,68,136) 1px solid; text-align: center; border-left: rgb(51,51,136) 4px solid; padding-bottom: 2em; margin: auto; padding-left: 2em; width: 30em; padding-right: 2em; background: rgb(238,238,255); border-top: rgb(68,68,136) 1px solid; border-right: rgb(68,68,136) 1px solid; padding-top: 2em">
 
<div style="border-bottom: rgb(68,68,136) 1px solid; text-align: center; border-left: rgb(51,51,136) 4px solid; padding-bottom: 2em; margin: auto; padding-left: 2em; width: 30em; padding-right: 2em; background: rgb(238,238,255); border-top: rgb(68,68,136) 1px solid; border-right: rgb(68,68,136) 1px solid; padding-top: 2em">
 
Message Area:  
 
Message Area:  
 
+
Welcome to the ECE302. This should be a fun semester!
 
</div>  
 
</div>  
 
== Course Information  ==
 
== Course Information  ==
Line 21: Line 21:
 
*[[Media:SyllabusECE301S13boutin.pdf|Course Syllabus]]  
 
*[[Media:SyllabusECE301S13boutin.pdf|Course Syllabus]]  
 
*Important Dates:  
 
*Important Dates:  
**Test 1
+
**Test 1: Friday February 8, 2013.
**Test 2
+
**Test 2: Wednesday April 3, 2013.
**Final, TBD  
+
**Final: TBD  
  
 
----
 
----
Line 40: Line 40:
 
[[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==
+
==Materials Covered==
 
* Probability Models (Ch.1)
 
* Probability Models (Ch.1)
 
* Axioms of Probability, counting, conditional probability, independence(Ch.2)
 
* Axioms of Probability, counting, conditional probability, independence(Ch.2)

Revision as of 07:52, 7 January 2013


Rhea Section for ECE302, Professor Boutin, Spring 2013

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

Message Area: Welcome to the ECE302. This should be a fun semester!

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: 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


Lecture Blog

Lecture 1, 2, 3


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


Your turn! A bonus point opportunity

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

Back to List of Course Wikis

Alumni Liaison

Prof. Math. Ohio State and Associate Dean
Outstanding Alumnus Purdue Math 2008

Jeff McNeal