CS109
Course Resources
Syllabus
Schedule
Honor Code
Office Hours
Course Reader
Python Review
Latex Cheat Sheet
Lecture Videos
InLecture
AIWG Student Guide
CS109ACE Signup
OAE Accommodation Form
Problem Sets
1. Core Probability
2. Discrete Random Variables
3. Continuous Random Variables
4. Models
Lecture
1. Welcome
2. Conditioning and Bayes
3. Independence
4. Counting
5. Binomial
6. Moments
7. Poisson Random Variable
8. Continuous Random Variables
9. Gaussian (Normal) Random Variable
10. Probabilistic Models
11. Inference
12. General Inference
13. Multinomial
14. Beta
15. Central Limit Theorem
Tutorial
Tutorial 1
Tutorial 2
Tutorial 3
Exams
Midterm Review
Schedule
Lecture 28: Final Review
August 11th, 2026
Hewlett 200, 10:30am
Lecture Materials
Slides
Lecture Questions
Lecture Solutions
Learning Goals
Review for the final exam