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1/14 - Welcome to Data 140!
WeekContentAssignments
1 Probability — axioms, rules, approximation
Random variables - distributions, equality, conditioning
Week 1 Study Guide
Lab 1: Birthday Attack (Part A due 1/25 at 11:59PM)
Homework 1 (Due 1/25 at 11:59PM)
2 Conditioning, symmetry, and independence
Symmetry and collections of events
Week 2 Study Guide
Week 2 Checkpoint (Complete on Gradescope, Due 1/27 at 11:59PM)
Lab 1: Birthday Attack (Part B due 2/1 at 11:59PM)
Homework 2 (Due 2/1 at 11:59PM)
3 Binomial and related counts; a Poisson limit
Independence and Poissonization
4 Expectation and Additivity
More Properties of Expectation
5 Expectation by Conditioning
Long run behavior of Markov Chains
Midterm 1 on 2/19

6 Balance
Markov Chain Monte Carlo
7 SD and tail bounds
Covariance and its uses
8 Central Limit Theorem
Probability densities
9 Transformations
Joint Densities
Spring Break
10 Independent normal and gamma variables
Moment generating functions; CLT revisited; Chernoff bound
Midterm 2 on 4/2
Midterm 2 on 4/2
11 MLE; Bayesian approach and MAP Estimates
The beta and the binomial
12 Prediction and Error
Error Variance
13 Random vectors; multivariate normal
Simple regression
14 Multiple regression I
Multiple regression II
15 RRR Week
Final Exam on 5/13 Final Exam on 5/13