CSE 312: Foundations of Computing II, Autumn 2020

Announcements and Updates

  • [12-11] Office hours over finals week will run as normal, except that William, Shreya, Scott and Cooper will not be able to make their times.

Schedule

Week 1
Topic
Materials
Week 1
Lecture 1
(Wed, Sept 30)
Introduction
So you think you can count?
Section 1
(Thurs, Oct 1)
Counting Problems
Lecture 2
(Fri, Oct 2)
More Counting
No More Counting Please
Week 2
Lecture 3
(Mon, Oct 5)
More Counting
Lecture 4
(Wed, Oct 7)
Discrete Probability
Conditional Probability
Section 2
(Thurs, Oct 8)
Probability problems
Probability via coding
Lecture 5
(Fri, Oct 9)
Conditional Probability
Bayes Theorem
Week 3
Lecture 6
(Mon, Oct 12)
Independence
Intro to Random Variables
Workshop 1
(Tues, Oct 6)
Python and Numpy Review
Lecture 7
(Wed, Oct 14)
Expectation
Section 3
(Thurs, Oct 15)
Naive Bayes Classifier
Lecture 8
(Fri, Oct 16)
Linearity of Expectation
Week 4
Lecture 9
(Mon, Oct 19)
Variance
Independence of RVs
Lecture 10
(Wed, Oct 21)
Application: Bloom Filters
Section 4
(Thurs, Oct 22)
Discrete Random Variables
Lecture 11
(Fri, Oct 23)
Zoo of Discrete RVs
Sunday Workshop
(Sun, Oct 25)
Pset4 Help
Week 5
Lecture 12
(Mon, Oct 26)
Zoo of Discrete RVs
Lecture 13
(Wed, Oct 28)
Continous RV Basics
Zoo of Continuous RVs
Section 5
(Thu, Oct 29)
Discrete Zoo Practice
Lecture 14
(Fri, Oct 30)
Exponential and Normal RVs
Week 6
Lecture 15
(Mon, Nov 2)
Normal Distribution, CLT
Lecture 16
(Wed, Nov 4)
Application: Polling
Section 6
(Thurs, Nov 5)
Continous RVs
Lecture 17
(Fri, Nov 6)
Application: Auction Theory
Week 7
Lecture 18
(Mon, Nov 9)
Application: Auction Theory (cont.)
Application: Distinct Elements
No Lecture
(Wed, Nov 11)
  • No Class: Veteran's Day
Section 7
(Thurs, Nov 12)
Review
Lecture 19
(Fri, Nov 13)
Distinct Elements
Week 8
Lecture 20
(Mon, Nov 16)
Joint Distributions
Lecture 21
(Wed, Nov 18)
Joint Distributions (cont.)
Law of Total Expectation
Section 8
(Thurs, Nov 19)
Joint Distributions
Lecture 22
(Fri, Nov 20)
Law of Total Expectation
Continous Law of Total Probability
No Lecture
(Sat, Nov 21)
No topics.
No materials.
Week 9
Lecture 23
(Mon, Nov 23)
Application: Heavy Hitters
Lecture 24
(Wed, Nov 25)
Markov's Inequality
Heavy Hitters
Section 9
(Thurs, Nov 26)
  • No Section
No Lecture
(Fri, Nov 27)
  • No Lecture
Week 10
Lecture 25
(Mon, Nov 30)
Maximum Likelihood Estimation
Lecture 26
(Wed, Dec 2)
Finish MLE
Section 10
(Thurs, Dec 3)
MLE, Tail Bounds, Markov Chains Intro
Lecture 27
(Fri, Dec 4)
Markov Chains
Week 11
Lecture 28
(Mon, Dec 7)
Markov Chains Recap
Pagerank
Lecture 29
(Wed, Dec 9)
Hodgepodge
Section 11
(Thurs, Dec 10)
TA's Choice
Lecture 30
(Fri, Dec 11)
Course Wrapup

Note that content for future lectures is subject to change.

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