CS109

Course Resources
Syllabus Schedule Honor Code Office Hours Course Reader Python Review Latex Cheat Sheet Lecture Videos AIWG Student Guide
Midterm Challenge
Problem Sets
1. Core Probability 2. Discrete Random Variables 3. Continuous Random Variables 4. Probabilistic Models 5. Uncertainty Theory
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 15. Midterm Review 16. Central Limit Theorem 17. Sampling & Bootstrapping 18. Algorithm Analysis
Section
Section Signup Form Section 1 Section 2 Section 3 Section 4 Section 5 Section 6
PEP
Midterm

Schedule

Lecture 28: Your Future Of Probability

Dec 3rd, 2025
NVIDIA Auditorium, 1:30pm

Lecture Materials

Learning Goals

To gain a sense of what the future of probability might look like for you