EE 503: Probability for Electrical and Computer Engineers

University of Southern California, Summer 2026

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Schedule

No class, Memorial Day.

Week 1

May 27
Lecture 1 Logic and sets. Proof technique. Sigma-algebras. Probability axioms.
Handout Daily Derivations
Demo Demos
Homework 1 Homework 1

Week 2

Jun 1
Lecture 2 Uncountability. Borel sigma-algebra. Independence. Total probability.
Demo Demos
Homework 2 Homework 2

Week 3

Jun 8
Lecture 3 Combinatorics. Limits of sequences and sets. Borel-Cantelli Lemma.
Demo Demos
Homework 3 Homework 3

Week 4

Jun 15
Lecture 4 Discrete probability and approximations. Poisson Theorem.
Handout BEG-CUP pdfs
Demo Demos
Homework 4 Homework 4
Jun 19
Discussion Rescheduled - Juneteenth

Week 5

Jun 22
Lecture 5 Random variables. Continuous densities. Bayes conjugate inference.
Handout Normal table (z-table)
Handout Chi-square table
Demo Demos
Homework 5 Homework 5

Week 6 & 7

Jun 29
Lecture 6 Expectations and moments of random variables.
Homework 6 Homework 6
Jul 1
Lecture 7 Covariance. Correlation. Uncertainty principles.
Homework 7 Homework 7
Demo Demos
Jul 3
Discussion Rescheduled - Independence Day

Week 8

Jul 6
Lecture 8 Stochastic convergence. Laws of large numbers.
Discussion Extra Session - Stochastic Convergence
Demo Demos
Homework 8 Homework 8

Week 9

Jul 13
Lecture 9 Conditional expectations. S.I.T. technique. Maximum likelihood estimation.
Handout t-table
Demo Demos
Homework 9 Homework 9

Week 10

Jul 20
Lecture 10 Transformed densities. Monte Carlo. Entropy and information. Mixtures.
Demo Demos
Homework 10 Homework 10

Week 11

Jul 27
Lecture 11 Central limit theorem. Confidence intervals. Queues.
Demo Demos
Homework 11 Homework 11

Week 12

Aug 3
Lecture 12 Discrete time Markov processes. Optimal estimation and least squares.
Demo Demos
Homework 12 Homework 12

Final Exam - Monday, August 10, 12:00 - 14:30