Courses
taught in the
Department
of Electrical and Computer Engineering
North
Dakota State University
ECE 341:
Random Processes
Fall 2022
Instructor: Omidreza Ghasemi
Tu/Th 3:30pm, AgHill
334
Syllabus
: Old Homework : Resources


Lecture Notes 
Video 
Sample Code & Other References 
Homework 
Tu 
Aug 23 


Th 
Aug 25 
COMBINATORICS 

Tu 
Aug 30 
Combinations and Permutations 

Th 
Sep 1 
Conditional Probability 

Tu 
Sep 6 
Conditional Probability in Dice Games 

Th 
Sep 8 
DISCRETE PROBABILTY 


Tu 
Sep 13 
Bernoulli Trial, BETH, Convolution 

Th 
Sep 15 
Dice, Convolution, Central Limit Theorem 


Tu 
Sep 20 
Moment Generating Functions 

Th 
Sep 22 
Use of zTransforms 

Tu 
Sep 27 
Review 



Th 
Sep 29 
Test #1 Discrete Probability 



Tu 
Oct 4 
CONTINUOUS PROBABILTY 

Th 
Oct 6 
Continuous probability density functions 


Tu 
Oct 11 
Continuous convolution 

Th 
Oct 13 
Moment generating functions 

Tu 
Oct 18 
Poisson approx. for binomial 

Th 
Oct 20 
Mean, variance 

Tu 
Oct 25 
Approximating pdf 

Th 
Oct 27 
Normal approximation to pdf’s 

Tu 
Nov 1 
Testing
with Normal Distributions Confidence Intervals 

Th 
Nov 3 
Test #2 Continuous Probability 



Tu 
Nov 8 

Th 
Nov 10 
MARKOV CHAINS 

Tu 
Nov 15 
Absorbing States and
ztransform Win By X 


Th 
Nov 17 
DATA ANALYSIS 


Tu 
Nov 22 
comparison of means 

Th 
Nov 24 
Holiday 



Tu 
Nov 29 

Th 
Dec 1 
ChiSquared Examples 



Tu 
Dec 6 
 

Th 
Dec 8 
Test #3 Markov Chains and Data Analysis 





Correlation, Covariance 





p(A  B) for continuous functions 





Modeling disease spread 
The Economist: A Terrible Toll (sample code) 
