CSE 312, Winter 2021 (original) (raw)

Announcements and Updates

Schedule

Introduction
So you think you can count?

Discrete Probability
Conditional Probability

Section 2

(Thurs, Jan 14)

Probability problems

Conditional Probability
Bayes Theorem

Independence
Intro to Random Variables

Section 3

(Thurs, Jan 21)

Naive Bayes Classifier

Variance
Independence of RVs

Section 4

(Thurs, Jan 28)

Discrete Random Variables

Continous RV Basics
Zoo of Continuous RVs

Exponential and Normal RVs

Normal Distribution
Central Limit Theorem

Section 6

(Thurs, Feb 11)

Continous RVs

No Lecture: President's Day

Application: Distinct Elements

Section 7

(Thurs, Feb 18)

Central Limit Theorem

Markov's Inequality
Tail Bounds

Section 8

(Thurs, Feb 25)

Tail Bounds

MLE

slides slides 7.1-7.2 cc
Chapter 7.2 has a really helpful walkthrough of an MLE computation with a Poisson.

Application: Markov Chains

Section 10

(Thurs, Mar 11)

Review

Note that content for future lectures is subject to change.

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