Week 1

Topic

Week 1

Lecture 1

(Mon, Jan 4)

Introduction

So you think you can count?

So you think you can count?

Week 2

Lecture 5

(Wed, Jan 13)

Discrete Probability

Conditional Probability

Conditional Probability

Lecture 6

(Fri, Jan 15)

Conditional Probability

Bayes Theorem

Bayes Theorem

Week 3

Lecture 7

(Mon, Jan 18)

Lecture 8

(Wed, Jan 20)

Independence

Intro to Random Variables

Intro to Random Variables

Week 4

Lecture 11

(Wed, Jan 27)

Variance

Independence of RVs

Independence of RVs

Week 5

Lecture 14

(Wed, Feb 3)

Continous RV Basics

Zoo of Continuous RVs

Zoo of Continuous RVs

Week 6

Lecture 17

(Wed, Feb 10)

Normal Distribution

Central Limit Theorem

Central Limit Theorem

Week 7

Lecture 19

(Mon, Feb 15)

Lecture 20

(Wed, Feb 17)

Application: Distinct Elements

Week 8

Lecture 23

(Wed, Feb 24)

Chernoff Bound

Lecture 24

(Fri, Feb 26)

MLE

Week 9

Lecture 26

(Wed, Mar 3)

Application: Markov Chains

Week 10

Note that content for future lectures is subject to change.

This course website heavily follows the example of the website of CSE373 2019 Spring.