EE 364: Introduction to Probability and Statistics for EE/CS
University of Southern California, Fall 2026
Schedule
Week 1
| Aug 25 |
Demo
Demos
Homework 1
Homework 1
|
Week 2
| Sep 1 |
Week 3
| Sep 8 |
Week 4
| Sep 15 |
Lecture 4
Discrete probability and mass
functions. Poisson Theorem.
Demo Demos
Homework 4
Homework 4
|
Week 5
| Sep 22 |
Exam Midterm 1
Lecture 5
Continuous probability
densities.
Handout BEG-CUP pdfs
Demo Demos
|
Week 6
| Sep 29 |
Lecture 6
Expectation, variance.
Lecture 7
Transformed random variables.
Demo Demos
Homework 5
Homework 5
|
Week 7
| Oct 6 |
Lecture 8
Multiple random variables.
Demo Demos
Homework 6
Homework 6
|
No class Thursday, Fall recess (08 Oct).
Week 8
| Oct 13 |
Lecture 9
Covariance and correlation.
Uncertainty principles. Multivariate normal.
Demo Demos
|
Week 9
| Oct 20 |
Exam Midterm 2
Lecture 10
Laws of large numbers. Monte Carlo
sampling.
Demo Demos
Homework 7
Homework 7
|
Week 10
| Oct 27 |
Lecture 11
Bayesian statistics and conjugacy.
Maximum likelihood estimation.
Demo Demos
Homework 8
Homework 8
|
Week 11
| Nov 3 |
Lecture 12
Entropy. Mixtures. Transforms.
Homework 9
Homework 9
|
Week 12
| Nov 10 |
Lecture 13
Sample mean and sample variance.
Central limit theorem. Confidence intervals.
Demo Demos
|
Week 13
| Nov 17 |
Exam Midterm 3
Lecture 14
Statistical hypothesis
testing.
Homework 10
Homework 10
|
Week 14
| Nov 24 |
Lecture 15
Optimal estimation and least
squares.
Demo Demos
|
No class Thursday, Thanksgiving Break (26 Nov).
Week 15
| Dec 1 |
Lecture 16
Linear regression and multivariable
regression. Review.
Homework 11
Homework 11
|
Final Exam - Tuesday, December 15, 11:00 - 13:00