CS109
Course Resources
Syllabus
Honor Code
Office Hours
Course Reader
Python Review
Latex Cheat Sheet
Lecture Videos
Midterm
Problem Sets
1. Counting
2. Core Probability
3. Random Variables
Lecture
1. Welcome
2. Combinatorics
3. Probability
4. Conditioning and Bayes
5. Independence
6. Random Variables & Binomial
7. Moments
8. Poisson
9. Continuous
10. Gaussian
11. Probabilistic Models
12. Inference
Section
Section 1
Section 2
Section 3
Schedule
Lecture 15: Beta
Nov 1st, 2023
Hewlett 200, 3p
Lecture Materials
Slides PDF
Lecture Code
Learning Goals
Know how to think about uncertainty in probabilities
Reading
Beta