0.3 Sum and Product Notation
1.1 So You Think You Can Count?
Recitation 1
(Tues, Jun 23)
LaTeX Tutorial and Practice
1.2 More Counting
1.3 No More Counting Please
9.1Python Tutorial
9.2Probability via Simulation [PSet1 Coding]
2.1 Discrete Probability
2.2 Conditional Probability
2.3 Independence
3.1 Discrete Random Variables Basics
Recitation 2
(Tues, Jun 30)
More Counting and Probability
3.2 More on Expectation
3.3 Variance
9.3 Naive Bayes [PSet2 Coding]
No Class - July 4th Holiday
3.4 Zoo of Discrete RVs I
Recitation 3
(Tues, Jul 7)
Indicator Random Variables, Expectation, and Variance
3.5 Zoo of Discrete RVs II
3.6 Zoo of Discrete RVs III
9.4 Bloom Filters [PSet3 Coding]
4.1 Continuous Random Variables Basics
4.2 Zoo of Continuous RVs
Recitation 4
(Tues, Jul 14)
Zoo of Random Variables Practice
4.3 The Normal Random Variable
4.4 Transforming Continuous RVs
9.5Distinct Elements [PSet3 Coding]
5.1 Joint Discrete Distributions
-
Project Proposal Due 11 PM PDT
5.2 Joint Continuous Distributions
Recitation 5
(Tues, Jul 21)
Continuous RVs and Joint Distributions
5.3 Conditional Distributions
Analyzing Probabilistic Data Structures (PDS) and Randomized Algorithms (RA)
5.4 Covariance and Correlation
Recitation 6
(Tues, Jul 28)
Conditional Expectation and Distributions, Covariance
5.6 Moment Generating Functions
5.7 Limit Theorems
5.11 Proof of the CLT
9.6 MCMC [PSet4 Coding]
5.8 The Multinomial Distribution
5.9 Multivariate Normal Distribution
5.10 Order Statistics
7.1 Maximum Likelihood Estimation
7.2 Maximum Likelihood Examples
-
Project Milestone Due 11 PM PDT (optional)
Recitation 7
(Tues, Aug 4)
Convolution, MGFs, CLT, Multi-Distributions
7.3 Method of Moments Estimation
7.4 Beta and Dirichlet Distributions
7.5 Maximum a Posteriori Estimation
7.6 Properties of Estimators I
7.7 Properties of Estimators II
7.8 Properties of Estimators III
9.7 Bootstrapping [PSet5 Coding]
8.3 Introduction to Hypothesis Testing
Recitation 8
(Tues, Aug 11)
Hypothesis Tests, MLE, MoM, MAP
8.1 Confidence Intervals
8.2 Credible Intervals
9.8Multi-Armed Bandits [PSet5 Coding]
6.1 Markov & Chebyshev Inequalities
6.2 The Chernoff Bound
6.3 Even More Inequalities
Recitation 9
(Tues, Aug 18)
Office Hours + AMA
How to Lie with Statistics
Course Wrap Up!
PSet5 Due 11 PM PDT
(no late days allowed)
Note that content for future lectures is subject to change.
This course website heavily follows the example of the website of CSE373 2019 Spring.