Announcements! ( See All )
3/31 - Homework 9 and the Week 10 Checkpoint have been released. Week 10 Checkpoint is due 4/2 and Homework 9 is due 4/7.
3/20 - Homework 8 and Lab 7 have been released. Homework 8 is due Tue 3/31 and Lab 7 is due Sun 4/5.
3/10 - Homework 7 and Lab 6 have been released. Homework 7 is due Tue 3/17 and Lab 6 is due Sun 3/15.
3/5 - Homework 6 has been released, and is due Tue 3/10. No Lab this week.
2/25 - Lab 5 has been released, and is due Sun 3/1. No Homework this week so you have time to study for the Midterm on Tue 3/3.
2/18 - Homework 5 has been released, and is due Tue 2/25. Lab 4 is due Sun 2/23.
2/11 - Homework 4 and Lab 4 have been posted! Lab 4 is due Sun 2/23. This is a challenging lab; please start early. Lab Party on Thu 2/13 is being converted to a Homework Party.
1/21 - Homework 1 and Lab 1 have been posted! First section Wed 1/22, please be sure to bring a laptop!

Week 0 Overview

Getting Started

Week 7

Midterm and Variance

Week

Spring Break

Week 10

The Normal and Gamma Families

Week 11

MGFs, MLE, and the Beta Family

Week 12

MAP and Beta-Binomial

Week 13

Prediction and the multivariate normal

Week 14

Correlation and regression

Week 16

RRR Week

Week 17

Finals Week

WeekDateContentPrep & Assignments
1 Tues 1/21 Lecture 1: Probability — axioms, rules, approximation Weeks 1 & 2 Guide
Lab 1: Simple Random Samples (Due 1/26 at 12:00PM noon)
HW 1 (Due 1/28 at 12:00PM noon)
Wed 1/22 Discussion
Thurs 1/23 Lecture 2: Random variables — distributions, equality, conditioning
Fri 1/24 Discussion
2 Tue 1/28 Lecture 3: Symmetry and collections of events Weeks 1 & 2 Guide
Lab 2:Total Variation (Due 2/2 at 12:00PM noon)
HW 2 (Due 2/4 at 12:00PM noon)
Wed 1/29 Discussion
Thu 1/30 Lecture 4: Binomial and related counts; a Poisson limit
Fri 1/31 Discussion
3 Tue 2/4 Lecture 5: Independence and Poissonization Weeks 3 & 4 Guide
Lab 3: Expectation of Discrete Order Statistics (Due 2/9 at 12:00PM noon)
HW 3 (Due 2/11 at 12:00PM noon)
Wed 2/5 QUIZ 1
Thu 2/6 Lecture 6: Expectation
Fri 2/7 Discussion
4 Tue 2/11 Lecture 7: Expectation and additivity Weeks 3 & 4 Guide
Lab 4: Success Runs and Other Patterns (Due 2/23 at 12:00PM noon)
HW 4 (Due 2/18 at 12:00PM noon)
Wed 2/12 Discussion
Thu 2/13 Lecture 8: Expectation by conditioning
Fri 2/14 Discussion
5 Tue 2/18 Lecture 9: Long run behavior of Markov Chains Weeks 5 & 6 Guide
Lab 4: Success Runs and Other Patterns (Due 2/23 at 12:00PM noon)
Homework 5 (Due 2/25 at 12:00PM noon)
Wed 2/19 Discussion
Thu 2/20 Lecture 10: Balance
Fri 2/21 Discussion
6 Tue 2/25 Lecture 11: Markov Chain Monte Carlo Weeks 5 & 6 Guide
Midterm Contents
Lab 5: Codebreaking by MCMC (Due 3/1 at 12:00PM noon)
Wed 2/26 Discussion
Thu 2/27 Lecture 12: Examples as review
Fri 2/28 Discussion
7 Tue 3/3 MIDTERM Homework 6 (Due 3/10 at 12:00PM noon)
Weeks 7-9 Guide
Wed 3/4 No Discussion
Thu 3/5 Lecture 13: SD, tail bounds
Fri 10/11 Discussion
8 Tue 3/10 Covariance and its uses
(Part 1) (Part 2) (Part 3) (Part 4)
Weeks 7-9 Guide
Homework 7 (Due 3/20 at 12:00PM noon)
Lab 6: Decisions Based on Ranks (Due 3/20 at 12:00PM noon)
Wed 3/11 Discussion
Thu 3/12 Central Limit Theorem
(Part 5) (Part 6) (Part 7) (Part 8)
Fri 3/13 Discussion
9 Tue 3/17 Probability densities
(Part 1) (Part 2) (Part 3) (Part 4)
Weeks 7-9 Guide
Homework 8 (Due 3/31 at 12:00PM noon)
Lab 7: Densities and SymPy (Due 4/5 at 12:00PM noon)
Wed 3/18 Discussion
Thu 3/19 Transformations
(Part 5) (Part 6) (Part 7)
Fri 3/20 Discussion
Tue 3/24
Wed 3/25
Thu 3/26
Fri 3/27
10 Tue 3/31 Joint densities
(Part 1) (Part 2) (Part 3) (Part 4)
(Part 5) (Part 6) (Part 7)
Homework 9 (Due 4/7 at 12:00PM noon)
Week 10 Checkpoint
Wed 4/1 Problem Solving Sessions
(Videos)
Thu 4/2 Lecture 19: Independent normal and gamma variables
Fri 4/3 Problem Solving Sessions
11 Tue 4/7 Lecture 20: Moment generating functions; Chernoff bound
Wed 4/8 Problem Solving Sessions
Thu 4/9 Lecture 21: MLE; the beta family
Fri 4/10 Problem Solving Sessions
12 Tue 4/14 Lecture 22: Conditioning; MAP estimates
Wed 4/15 Problem Solving Sessions
Thu 4/16 Lecture 23: The beta and the binomial
Fri 4/17 Problem Solving Sessions
13 Tue 4/21 Lecture 24: Prediction and error
Wed 4/22 Problem Solving Sessions
Thu 4/23 Lecture 25: Random vectors; multivariate normal
Fri 4/24 Problem Solving Sessions
14 Tue 4/28 Lecture 26: Correlation and simple regression
Wed 4/29 Problem Solving Sessions
Thu 4/30 Lecture 27: Multiple regression
Fri 5/1 Problem Solving Sessions
16 Tue 5/5
17 Fri 5/15 FINAL EXAM (7PM to 10PM)