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Welcome to ECEn 370: Introduction to Probability Theory!

Fall 2007

Instructor: Dr. Brian Jeffs
Office hours: Mon. & Fri. 1:45 p.m. to 4:00 p.m.
457 CB, bjeffs@ee.byu.edu, (801) 422-3062

TAs:
Xiao Yu, Dang (Charley), xydang@byu.edu
Thomas Reed, honcho@byu.net


TA office hours:
Charley:  Wed. 3:00-7:00 p.m., 425 CB
Thomas: Wed. 9:00-11:00 a.m. and Thurs. 3:00-5:00 p.m., 425 CB



Lecture Notes
Lecture Title Last Updated Files
Lecture 1
Introduction: Why Study Probability?
Sept. 5, 2007
Lec 1.pdf
Lecture 2
Sets, Events, Fields and Axioms of Probability
Sept. 17, 2007
Lec 2.pdf
Lecture 3
Bayes' Rule
Sept. 19, 2007 Lec 3.pdf
Lecture 4
Combinatorics and Binomial, Multinomial and Poisson Distributions
Oct. 1 , 2007 Lec 4.pdf
Lecture 5
Random Variables
Oct. 10, 2007 Lec 5.pdf
Lecture 6
Joint and Conditional Distributions and Densities
Oct. 18, 2007 Lec 6.pdf
Lecture 7
Transformations of Random Variables
Oct. 29, 2007 Lec 7.pdf
Lecture 8
Expectation, Dr. Stirling will Lecture (Nov. 2, 5, 7)
Nov. 9, 2007 Lec 8.pdf
Lecture 9
Conditional Expectation and Moments
Nov. 27, 2007 Lec 9.pdf
Lecture 10
Moment Generating and Characteristic Functions
Dec. 5, 2007 Lec 10. pdf
Lecture 11
Central Limit Theorem and Estimators for Mean and Variance
Dec. 10, 2007 Lec 11.pdf

Homework Solutions are available on BlackBoard under "Course Materials." Access Blackboard through your Route Y account.


MATLAB Demonstrations
WhiteNoiseDemo.m : Used in Lecture 1.
dieRolls.mat : Experimental trial data for loaded die.
BinaryComm.m : Used in Lecture 3
QueTst.m : Used in Lecture 4

GaussianDemo.m : Used in Lecture 5
Gaussian2D.m : Used in Lecture 6
regression.m: Used in Lecture 9

 
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