Date  Lecture contents  Assignments 

Week 1  
Jan 11 Mon 
1
Counting
Syllabus Read: Counting, or Ross Ch 1.11.2. 

Jan 13 Wed 
2
Permutations and Combinations
Read: Combinatorics or Ross Ch 1.31.6 
Out: PSet #1 
Jan 15 Fri 
3
Axioms of Probability
Read: Probability or Ross Ch 2.12.5, 2.7 

Week 2  
Jan 18 Mon 
Holiday: Martin Luther King Jr Day
No Class 

Jan 20 Wed 
4
Conditional Probability and Bayes
Read: Ross Ch 3.13.3 

Jan 22 Fri 
5
Independence
Read: Ross Ch 3.43.5 
Due: Pset #1
Out: PSet #2 
Week 3  
Jan 25 Mon 
6
Random Variables and Expectation
Read: Ross Ch 4.14.4 

Jan 27 Wed 
7
Variance, Bernoulli, Binomial
Read: Ross Ch 4.54.6 

Jan 29 Fri 
8
Poisson and More
Read: Ross Ch 4.74.10 

Week 4  
Feb 1 Mon 
9
Continuous Random Variables
Read: Ross Ch 5.15.3, 5.5 
Due: Pset #2
Out: Pset #3 
Feb 3 Wed 
10
The Normal Distribution
Read: Ross Ch 5.4 
Quiz #1 
Feb 5 Fri 
11
Joint Distributions
Read: Ross Ch 6.1 

Week 5  
Feb 8 Mon 
12
Multinomial
Read: Ross Ch 6.26.3 

Feb 10 Wed 
13
Continuous Joint Distributions
Read: Ch 6.1 

Feb 12 Fri 
14
Conditional Random Variables
Read: Ch 7.37.4 
Due: Pset #3
Out: Pset #4 
Week 6  
Feb 15 Mon 
15
Joint RV Statistics
Read: Ross Ch 6.46.5 

Feb 17 Wed 
16
General Inference
Lecture Notes 

Feb 19 Fri 
17
Convolution
Read: Ch 8.3 

Week 7  
Feb 22 Mon 
18
Central Limit Theorem
Read: Ch 8.3 
Due: Pset #4
Out: Pset #5 
Feb 24 Wed 
19
Sampling/Bootstrapping
Read: Lecture Notes 
Quiz #2 
Feb 26 Fri 
20
Beta
Read: Ch 5.6.15.6.4, 7.57.6 

Week 8  
Mar 1 Mon 
21
Parameters and MLE
Read: Lecture Notes 

Mar 3 Wed 
22
Maximum a Posteriori
Read: Lecture Notes 

Mar 5 Fri 
23
Naive Bayes
Read: Lecture Notes 
Due: Pset #5
Out: Pset #6 
Week 9  
Mar 8 Mon 
24
Ethics in Machine Learning
Read: Lecture Notes 

Mar 10 Wed 
25
Gradient Descent and Linear Regression
Read: Lecture Notes 

Mar 12 Fri 
26
Logistic Regression
Read: Lecture Notes 

Week 10  
Mar 15 Mon 
27
Deep Learning

Due: Pset #6 
Mar 17 Wed 
28
Future of Probability

Quiz #3 
Mar 19 Fri 
29
Beyond CS109
