CS109
Course Resources
Syllabus
Schedule
Honor Code
Office Hours
Course Reader
Python Review
Latex Cheat Sheet
Lecture Videos
AIWG Student Guide
Challenge
Problem Sets
1. Core Probability
2. Discrete Random Variables
3. Continuous Random Variables
Lecture
1. Welcome
2. Conditioning and Bayes
3. Independence
4. Counting
5. Binomial
6. Moments
7. Poisson
8. Continuous
9. Gaussian
10. Probabilistic Models
Section
Section Signup Form
Section 1
Section 2
Section 3
PEP
Midterm
Schedule
Lecture 9: Gaussian Distributions
Apr 17th, 2026
NVIDIA Auditorium, 1:30pm
Lecture Materials
Slides
Reading List
Gaussian Distribution
Binomial Approximations
Learning Goals
Know how and when to use a Gaussian distribution!