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
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
Tutorial
Tutorial 1
Tutorial 2
Tutorial 3
Exams
Midterm Review
Schedule
Lecture 9: Gaussian Distributions
Oct. 11, 2026
Hewlett 200, 10:30am
Lecture Materials
Slides
LLM Questions
Lecture Questions
Lecture Solutions
Reading List
Gaussian Distribution
Binomial Approximations
Learning Goals
Know how and when to use a Gaussian distribution!