Note on videos: By popular demand we are making videos of CS109 classes. Our intention is for the videos to be an extra feature we produce as staff to make the class a better experience (were all about the better experience). This quarter CS109 is not "SCPD" so we are not professionally recorded. You can expect for videos to be uploaded within 24 hours of class. The videos are hosted by YouTube but are unlisted (only people with the link can find them).
Note on slides: In class I sometimes use slides to facilitate lecture. On their own they are not a great study resource. Here is a
link to the slides directory in case you have use for them.
Schedule
The schedule is subject to change by the management at any time with high probability.
| Date |
Topic |
Files |
Reading |
Assignment |
[Counting] |
| Mar 28 |
Counting
|
|
Chapter 1.1 - 1.2 |
|
| Mar 30 |
Permutations and Combinations
|
|
Chapter 1.3 - 1.6 |
|
[Core Probability] |
| Apr 1 |
Axioms of Probability
|
|
Chapter 2.1-2.5, 2.7 |
|
| Apr 4 |
Conditional Probability, Bayes Theorem
|
|
Chapter 3.1-3.3 |
|
| Apr 6 |
Independence
|
|
Chapter 3.4-3.5 |
|
| Apr 8 |
Random Variables, Expectation
|
|
Chapter 4.1-4.4 |
Due: PSet #1 |
[Distributions] |
| Apr 11 |
Variance, Bernoulli and Binomial
|
|
Chapter 4.5-4.6 |
|
| Apr 13 |
Discrete Distributions
|
|
Chapter 4.7-4.10 |
|
| Apr 15 |
Continuous Random Variables
|
|
Chapter 5.1-5.3 |
|
| Apr 18 |
Normal Distributions
|
|
Chapter 5.4-5.6 |
Due PSet #2 |
| Apr 20 |
Joint Distribution Functions
|
|
Chapter 6.1 |
|
| Apr 22 |
Independent Random Variables
|
|
Chapter 6.2-6.3 |
|
| Apr 25 |
Conditional Distributions
|
|
Chapter 6.4-6.5 |
|
| Apr 27 |
Beta Distributions
|
|
Chapter 7.1-7.2 |
Due: PSet #3 |
[Advanced Probability] |
| Apr 29 |
Variance From Events
|
|
Chapter 7.3-7.4 |
|
| May 2 |
Covariance and Samples
|
|
Chapter 7.5-7.6 |
|
| May 4 |
Correlation
|
|
Chapter 7.7 |
|
| May 6 |
Conditional Expectation
|
|
Chapter 8.1-8.2, 8.5 |
|
| May 9 |
Central Theorems
|
|
Chapter 8.3-8.4 |
Due PSet #4 |
[Machine Learning] |
| May 11 |
Parameters and Learning
|
|
Lecture Handout |
|
| May 13 |
Maximizing Likelihood
|
|
Lecture Handout |
|
| May 16 |
Maximum A Posteriori
|
|
Lecture Handout |
|
| May 18 |
Naive Bayes
|
|
Lecture Handout |
Due PSet #5 |
| May 20 |
Logistic Regression
|
|
Lecture Handout |
|
| May 23 |
Deep Learning
|
|
Lecture Handout |
|
| May 25 |
Applied Machine Learning
|
|
None |
|
| May 27 |
CS109 Overview
|
|
None |
|
| May 30 |
Memorial Day (no class)
|
|
|
|
| Jun 1 |
Dead Day (no class)
|
|
|
Due PSet #6 |