CS109

Lectures
- Week 1
- 1 - Counting
  - Slides
  - Lecture Notes
- 2 - Permutations and Combinations
  - Slides
  - Lecture Notes
- 3 - Axioms of Probability
  - Slides
  - Lecture Notes
- Week 2
- 4 - Conditional Probability and Bayes
  - Slides
  - Lecture Notes
- 5 - Independence
  - Slides
  - Lecture Notes
- 6 - Random Variables and Expectation
  - Slides
  - Lecture Notes
- Week 3
- 7 - Variance, Bernoulli, Binomial
  - Slides
  - Lecture Notes
- 8 - Poisson and More
  - Slides
  - Lecture Notes
- 9 - Continuous Random Variables
  - Slides
  - Lecture Notes
- Week 4
- 10 - The Normal Distribution
  - Slides
  - Lecture Notes
- 11 - Joint Distributions
  - Slides
  - Lecture Notes
- 12 - Continuous Joint Distributions
  - Slides
  - Lecture Notes
- Week 5
- 13 - Independent Random Variables
  - Slides
  - Lecture Notes
- 14 - Conditional Distributions
  - Slides
  - Lecture Notes
- 15 - Correlation and Covariance
  - Slides
  - Lecture Notes
- Week 6
- 16 - Great Expectations
  - Slides
  - Lecture Notes
- 17 - Beta
  - Slides
  - Lecture Notes
- 18 - Central Limit Theorem
  - Slides
  - Lecture Notes
- Week 7
- 19 - Sampling/Bootstrapping
  - Slides
  - Lecture Notes
- 20 - General Inference
  - Slides
  - Lecture Notes
- 21 - Parameters and MLE
  - Slides
  - Lecture Notes
- Week 8
- 22 - Gradient Ascent
  - Slides
  - Lecture Notes
- 23 - Maximum A Posteriori
  - Slides
  - Lecture Notes
- 24 - MAP + Naive Bayes
  - Slides
  - Lecture Notes
- Week 9
- 25 - Naive Bayes + Logistic Regression
  - Slides
  - Lecture Notes
- 26 - Logistic Regression + Deep Learning
  - Slides
  - Lecture Notes
- 27 - Deep Learning II
  - Slides
Problem Sets
Section
- Section 1
- Handout
- Solutions
- Section 2
- Handout
- Solutions
- Section 3
- Handout
- Solutions
- Section 4
- Handout
- Solutions
- Section 5
- Handout
- Solutions
- Section 6
- Handout
- Jupyter Notebook
- Solutions
- Section 7
- Handout
- Jupyter Notebook
- Solutions
- Section 8
- Handout
- Solutions
- Section 9
- Jupyter Notebook
- Notebook Solutions
- Section Attendance
- Concept Checks
- Concept Check Answers
Handouts/Demos
Staff / Office Hours

Schedule

Problem Set 1: Counting

Due: Friday, October 4th, 1:00PM PDT

Ciphers, Data Structures, and Probability

Resources

Problem Set

Template

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