CSE 312: Foundations of Computing II, Autumn 2024

Announcements and Updates

Schedule

For future lectures, this is a tentative schedule. The exact contents are subject to change. Links to future materials may also be broken.

Week 1
Topic
Week 1
Lecture 1
(Wed, Sept 25)
Introduction
So you think you can count?
Section 1
(Thu, Sept 26)
Counting practice
Lecture 2
(Fri, Sept 27)
Combinations and Binomial Coefficients
Week 2
Lecture 3
(Mon, Sept 30)
Inclusion-Exclusion, Pigeonhole Principle and More
Lecture 4
(Wed, Oct 2)
Discrete Probability
Section 2
(Thu, Oct 3)
Probability problems
Lecture 5
(Fri, Oct 4)
Conditional Probability
Bayes Theorem
Week 3
Lecture 6
(Mon, Oct 7)
Bayesian Inference & Independence
Lecture 7
(Wed, Oct 9)
Intro to Random Variables & Expectation
Section 3
(Thu, Oct 10)
Conditional Probabilities, Chain rule
Lecture 8
(Fri, Oct 11)
Linearity of Expectation
Week 4
Lecture 9
(Mon, Oct 14)
Variance
Independence of RVs
Lecture 10
(Wed, Oct 16)
Bloom Filters
Section 4
(Thu, Oct 17)
Discrete Random Variables
Lecture 11
(Fri, Oct 18)
Zoo of Discrete RVs
Week 5
Lecture 12
(Mon, Oct 21)
Poisson RVs
Lecture 13
(Wed, Oct 23)
Continuous RV Basics
Uniform RVs
Section 5
(Thu, Oct 24)
Discrete Zoo Practice
Lecture 14
(Fri, Oct 25)
Expectation & Variance of Continuous RVs
Exponential RVs
Week 6
Lecture 15
(Mon, Oct 28)
Normal Distribution
Central Limit Theorem
Midterm
(Wed, Oct 30)
Midterm
Section 6
(Thu, Oct 31)
Continuous RVs
Lecture 16
(Fri, Nov 1)
Application: Polling
Week 7
Lecture 17
(Mon, Nov 4)
Continuity correction
Application: Distinct Elements
Lecture 18
(Wed, Nov 6)
Joint Distributions
Section 7
(Thu, Nov 7)
Central Limit Theorem
Joint Distributions
Lecture 19
(Fri, Nov 8)
Joint Distributions
Tail Bounds: Markov's Inequality
Week 8
(Mon, Nov 11)
No Lecture: Veterans Day
Lecture 20
(Wed, Nov 13)
Chebyshev's Inequality
Chernoff Bounds
Section 8
(Thu, Nov 14)
Tail Bounds
Lecture 21
(Fri, Nov 15)
Chernoff Bound
Union Bound
Week 9
Lecture 22
(Mon, Nov 18)
Maximum Likelihood Estimation
Lecture 23
(Wed, Nov 20)
Maximum Likelihood Estimation
continued
Section 9
(Thu, Nov 21)
MLE
Lecture 24
(Fri, Nov 22)
Markov Chains
Week 10
Lecture 25
(Mon, Nov 25)
Markov Chains + PageRank
(Wed, Nov 27)
No Lecture: Thanksgiving Holiday
(Thu, Nov 28)
No Section: Thanksgiving Holiday
Markov Chain practice: materials solutions
(Fri, Nov 29)
No Lecture: Thanksgiving Holiday
Week 11
Lecture 26
(Mon, Dec 2)
Differential Privacy
Lecture 27
(Wed, Dec 4)
Information Theory
Section 10
(Thu, Dec 5)
Review
Lecture 28
(Fri, Dec 6)
Informtion Theory & Victory Lap
Exam Week
Final Exam
(Mon, Dec 9)
The final exam is scheduled at 2:30-4:20 pm in our regular classroom (ARC 147).

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