Here is a tentative schedule. The exact contents are subject
to changes. The excet schedule is posted on Edstem.
Introduction
So you think you can count?
Combinations and Binomial Coefficients
Pset 1 out
x
Inclusion-Exclusion, Pigeonhole Principle and More
Conditional Probability
Bayes Theorem
Pset 1 due
Pset 2 out
Bayesian Inference & Independence
Intro to Random Variables & Expectation
Pset 2 due
Pset 3 out
Application: Cryptography
Variance
Independence of RVs
Rest of
Variance and Independence of RVs
Bloom Filters
Pset 3 due
Pset 4 out
Discrete Random Variables
Bloom Filters analysis
Zoo of Discrete RVs, part I
Zoo of Discrete Rvs, part II
Poisson RVs
Poisson Wrap up
Continuous RV Basics
Uniform RVs
Pset 4 due
Expectation & Variance of Continuous RVs
Exponential RVs
Normal Distribution
Central Limit Theorem
Central Limit Theorem
Application: Polling
Continuity Correction
Application: Distinct Elements
Joint Distributions
Pset 5 due
Pset 6 out
Central Limit Theorem
Joint distributions
Application: Differential Privacy
Joint Distributions
Tail Bounds:
Markov Inequality
Pset 6 due
Pset 7 out
Chebyshev Inequality
Chernoff Bounds
Maximum Likelihood Estimation
Pset 7 due
Pset 8 out
Maximum Likelihood Estimation
Markov Chains + PageRank
Pset 8 due
The final exam is scheduled at 2:30-4:20 pm in our
regular classroom at the time specified in the UW
Final Exam Schedule for Spring 2025.
This course website heavily follows the example of the website of CSE373 2019 Spring.