CS109

Course Resources
Syllabus Schedule Honor Code Office Hours Course Reader Python Review Latex Cheat Sheet Lecture Videos AIWG Student Guide
Midterm
Problem Sets
1. Core Probability 2. Discrete Random Variables 3. Continuous Random Variables 4. Probabilistic Models
Lecture
1. Welcome 2. Conditioning and Bayes 3. Independence 4. Counting 5. Binomial 6. Moments 7. Poisson 8. Continuous 9. Gaussian 10. Probabilistic Models 11. Inference 12. General Inference 13. Multinomial 14. Beta
Check Lecture Attendance
Section
Section 1 Section 2 Section 3 Section 4
Section Reassign Form Times and Locations
PEP
Midterm

Schedule

Lecture 9: Gaussian Distributions

Jan 26th, 2026
Hewlett 200, 3p

Lecture Materials

Gaussian Distribution
Binomial Approximations

Learning Goals

Know how and when to use a Gaussian distribution!