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Announcements and Updates

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Schedule

Introduction

So you think you can count?

Section 1

(Thurs, Sept 30)

Counting Problems

Probability problems

Probability via coding

Conditional Probability

Bayes Theorem

More conditional probability

Independence

Section 3

(Thurs, Oct 14)

Naive Bayes Classifier

Intro Random Variables

Expectation

Application: Bloom Filters

LOTUS

Section 4

(Thurs, Oct 21)

Random variables

Variance

Independence of R.V.s

Exponential and Intro to Normal R.V.s

Normal RVs

Central Limit Theorem

Continuous random variables

Application: Polling

Confidence Intervals

More CLT

Continuity Correction

Application: Distinct Elements

- No Section: Veteran's Day

Continuous Joint Distns

Conditional Expectation

Law of Total Expectation

Section 7

(Thurs, Nov 18)

Joint distns; LTE

Maximum Likelihood Estimation

Maximum Likelihood Estimation

- No Section: Thanksgiving Holiday

- No Lecture: Thanksgiving Holiday

Pagerank and tail bounds.

Multivariate Gaussians and mixture models

How People Lie with Statistics

Note that content for future lectures is subject to change.

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