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
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Lecture Notes |
Video |
Sample Code & Other References |
Homework |
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Tu |
Aug 23 |
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Th |
Aug 25 |
COMBINATORICS |
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Tu |
Aug 30 |
Combinations and Permutations |
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Th |
Sep 1 |
Conditional Probability |
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Tu |
Sep 6 |
Conditional Probability in Dice Games |
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Sep 8 |
DISCRETE PROBABILTY |
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Tu |
Sep 13 |
Bernoulli Trial, BETH, Convolution |
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Sep 15 |
Dice, Convolution, Central Limit Theorem |
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Tu |
Sep 20 |
Moment Generating Functions |
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Sep 22 |
Use of z-Transforms |
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Tu |
Sep 27 |
Review |
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Th |
Sep 29 |
Test #1 Discrete Probability |
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Tu |
Oct 4 |
CONTINUOUS PROBABILTY |
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Oct 6 |
Continuous probability density functions |
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Tu |
Oct 11 |
Continuous convolution |
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Oct 13 |
Moment generating functions |
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Tu |
Oct 18 |
Poisson approx. for binomial |
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Th |
Oct 20 |
Mean, variance |
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Tu |
Oct 25 |
Approximating pdf |
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Th |
Oct 27 |
Normal approximation to pdf’s |
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Tu |
Nov 1 |
Testing
with Normal Distributions Confidence Intervals |
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Th |
Nov 3 |
Test #2 Continuous Probability |
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Tu |
Nov 8 |
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Nov 10 |
MARKOV CHAINS |
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Tu |
Nov 15 |
Absorbing States and
z-transform Win By X |
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Th |
Nov 17 |
DATA ANALYSIS |
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Tu |
Nov 22 |
comparison of means |
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Th |
Nov 24 |
Holiday |
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Tu |
Nov 29 |
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Th |
Dec 1 |
Chi-Squared Examples |
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Tu |
Dec 6 |
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Th |
Dec 8 |
Test #3 Markov Chains and Data Analysis |
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Correlation, Covariance |
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p(A | B) for continuous functions |
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Modeling disease spread |
The Economist: A Terrible Toll (sample code) |
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