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Welcome to ECEn 370: Introduction to Probability Theory!

Fall 2009

Instructor: Dr. Brian Jeffs
Office hours: 3:20 - 5:00 T, 4:00-5:00 MF
457 CB, bjeffs@ee.byu.edu, (801) 422-3062

TA: Yabing Luo, yluo@et.byu.edu

TA office hours:
12:00-3:00 & 5:00-6:00 W, 1:00-6:00 Th, 425 CB



Lecture Notes
Lecture Title Last Updated Files
Lecture 1
Introduction: Why Study Probability?
9/5/2008
Lecture 1.pdf
Lecture 2
Sets, Events, Fields and Axioms of Probability
9/7/2009
Lecture 2.pdf
Lecture 3
Bayes' Rule
9/11/2009
Lecture 3.pdf
Lecture 4
Combinatorics and Binomial, Multinomial and Poisson Distributions
9/23/2009
Lecture 4.pdf
Lecture 5
Random Variables
9/25/2009
Lecture 5.pdf
Lecture 6
Joint and Conditional Distributions and Densities
10/16/2009
Lecture 6.pdf
Lecture 7
Transformations of Random Variables
10/30/2009
Lecture 7.pdf
Lecture 8
Expectation
11/06/2009
Lecture 8.pdf
Lecture 9
Conditional Expectation and Moments
11/06/2009
Lecture 9.pdf
Lecture 10
Moment Generating and Characteristic Functions
   
Lecture 11
Central Limit Theorem and Estimators for Mean and Variance
   

Quiz & Test Information

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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