EE 364: Introduction to Probability and Statistics for EE/CS

University of Southern California, Fall 2026

Schedule

Week 1

Aug 25

Lecture 1 Introduction to probability. Logic and sets. Probability axioms. Demo Demos Homework 1 Homework 1

Week 2

Sep 1

Lecture 2 Independence. Conditional probability. Bayes' Theorem. Demo Demos Homework 2 Homework 2

Week 3

Sep 8

Lecture 3 Combinatorics. Binomial and multinomial probability. Demo Demos Homework 3 Homework 3

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 Handout BEG-CUP pdfs Demo Demos

Week 6

Sep 29

Lecture 5 Continuous probability densities. Homework 5 Homework 5

Week 7

Oct 6

Homework 6 Homework 6

No class Thursday, Fall recess (08 Oct).

Week 8

Oct 13

Lecture 6 Expectation, variance. Moments. Homework 7 Homework 7

Week 9

Oct 20

Exam Midterm 2 Lecture 7 Transformed random variables. Demo Demos

Week 10

Oct 27

Lecture 8 Multiple random variables. Covariance and correlation. Demo Demos Homework 8 Homework 8

Week 11

Nov 3

Lecture 9 Conditional expectation. Total expectation and variance. Lecture 10 Sampling statistics. Stochastic convergence. Probability inequalities. Weak law of large numbers. Demo Demos Homework 9 Homework 9

Week 12

Nov 10

Lecture 11 Monte Carlo sampling. Estimation: bias, MSE, consistency. Demo Demos

Week 13

Nov 17

Exam Midterm 3 Lecture 12 Bayesian statistics and conjugacy. Demo Demos Homework 10 Homework 10

Week 14

Nov 24

Lecture 13 Transforms. Central limit theorem. Demo Demos

No class Thursday, Thanksgiving Break (26 Nov).

Week 15

Dec 1

Lecture 14 Confidence intervals. Review. Demo Demos Homework 11 Homework 11

Final Exam - Tuesday, December 15, 11:00 - 13:00