Announcements! ( See All )
1/14 - Welcome to Data 140!

Week 0 Overview

Getting Started

Week

Spring Break

Week 14

Multiple regression

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
Week 3 Study Guide
Week 3 Checkpoint (Complete on Gradescope, Due 2/3 at 11:59PM)
Lab 2: Total Variation (Part A due 2/8 at 11:59PM)
Homework 3 (Due 2/8 at 11:59PM)
4 Expectation and Additivity
More Properties of Expectation
Week 4 Study Guide
Week 4 Checkpoint (Complete on Gradescope, Due 2/10 at 11:59PM)
Lab 2: Total Variation (Part B due 2/16 at 11:59PM)
Homework 4 (due 2/16 at 11:59PM)
5 Expectation by Conditioning
Long run behavior of Markov Chains
Midterm 1 on 2/19
Week 5 Study Guide
Midterm 1 on 2/19
Week 5 Checkpoint (Complete on Gradescope, Due 2/17 at 11:59PM)
6 Balance
Markov Chain Monte Carlo
Week 6 Study Guide
Week 6 Checkpoint (Complete on Gradescope, Due 2/24 at 11:59PM)
Lab 3: Codebreaking by MCMC (due 3/1 at 11:59PM)
Homework 5 (Due 3/1 at 11:59PM)
7 SD and tail bounds
Covariance and its uses
Week 7 Study Guide
Week 7 Checkpoint (Complete on Gradescope, Due 3/3 at 11:59PM)
Lab 4: Decisions Based on Ranks (Part A due 3/8 at 11:59PM)
Homework 6 (Due 3/8 at 11:59PM)
8 Central Limit Theorem
Probability densities
Week 8 Study Guide
Week 8 Checkpoint (Complete on Gradescope, Due 3/10 at 11:59PM)
Lab 4: Decisions Based on Ranks (Part B due 3/15 at 11:59PM)
Homework 7 (Due 3/15 at 11:59PM)
9 Transformations
Joint Densities
Week 9 Study Guide
Week 9 Checkpoint (Complete on Gradescope, Due 3/17 at 11:59PM)
Lab 5: Densities and SymPy (Part A due 3/29 at 11:59PM)
Homework 8 (Due 3/29 at 11:59PM)
Spring Break
10 Independent normal and gamma variables
Moment generating functions; CLT revisited; Chernoff bound
Midterm 2 on 4/2
Week 10 Study Guide
Midterm 2 on 4/2
Week 10 Checkpoint (Complete on Gradescope, Due 3/31 at 11:59PM)
Lab 5: Densities and SymPy (Part B due 4/5 at 11:59PM)
11 MLE; Bayesian approach and MAP Estimates
The beta and the binomial
Week 11 Study Guide
Lab 6: Poisson Process (Part A due 4/12 at 11:59PM)
Homework 9 (Due 4/12 at 11:59PM)
12 Prediction and Error
Error Variance
Week 12 Study Guide
Lab 6: Poisson Process (Part B due 4/19 at 11:59PM)
Homework 10 (Due 4/19 at 11:59PM)
13 Random vectors; multivariate normal
Simple regression
Week 13 Study Guide
Week 13 Checkpoint (Complete on Gradescope, Due 4/21 at 11:59PM)
Lab 7: Constructing the Bivariate Normal (due 4/26 at 11:59PM)
Homework 11 (Due 4/26 at 11:59PM)
14 Multiple regression I
Multiple regression II
Week 14 Study Guide
Homework 12 (Due 5/3 at 11:59PM)
15 RRR Week
Final Exam on 5/13 Final Exam on 5/13