Announcements! ( See All )
12/6 - Practice Final Exams and Final Exam Reference Sheets posted!
11/20 - Week 14 assignments have been updated!
11/12 - Week 13 assignments have been updated!
11/5 - Week 12 assignments have been updated!
10/29 - Week 11 assignments have been updated!
10/22 - Week 10 assignments have been updated!
10/15 - Week 9 assignments have been updated!
10/8 - Week 8 assignments have been updated!
9/24 - Week 6 assignments have been updated! Midterm on 10/3!
9/17 - Week 5 assignments have been updated! Quiz 2 on 9/20!
9/10 - Week 4 assignments have been updated!
9/3 - Week 3 assignments have been updated! HW 2 due 9/4 at 8PM
8/27 - Week 2 assignments have been updated!
8/21 - The semester begins on 8/22. First lecture will be 8/22!
8/21 - Waitlisted students, please see 'About' page for enforced prereqs.

Week 0 Overview

Getting Started

Week 7

Midterm Week

Week 14

Multivariate Normal

Week 15

Regression

Week 16

RRR Week

Week 17

Finals Week

WeekDateContentPrep & Assignments
1 Wed 8/22 Lecture 1: Probability: Axioms, Rules, Approximation Week 1 Guide
Lab 1: Birthday Attack (Due 8/25 noon)
HW 1 (Due 8/28)
Thu 8/23 Discussion
Fri 8/24 Lab
2 Mon 8/27 Lecture 2: Random Variables: Distributions, Conditioning, Equality Week 2 Guide
Lab 2: Five-Card Poker (Due 9/1 noon)
HW 2 (Due 9/4)
Wed 8/29 Lecture 3: Symmetry and Collections of Events
Thu 8/30 Discussion
Fri 8/31 Lab
3 Mon 9/3 No Lecture (Labor Day): Week 3 Guide
Lab 3: Total Variation (Due 9/8 noon)
HW 3 (Due 9/11)
Wed 9/5 Lecture 4: Binomial and related counts; a Poisson limit
Thu 9/6 QUIZ 1
Fri 9/7 Lab
4 Mon 9/10 Lecture 5: Independence and Poissonization Week 4 Guide
Lab 4: Expectations of Discrete Order Statistics (Due 9/15 noon)
HW 4 (Due 9/18)
Wed 9/12 Lecture 6: Expectation and Additivity
Thu 9/13 Discussion
Fri 9/14 Lab
5 Mon 9/17 Lecture 7: Expectation by conditioning Week 5 Guide
Lab 5: Uniform and Size Biased Permutations (Due 9/22 noon)
HW 5 (Due 9/25)
Wed 9/19 Lecture 8: Long run behavior of Markov Chains
Thu 9/20 QUIZ 2
Fri 9/21 Lab
6 Mon 9/24 Lecture 9: Reversibility Week 6 Guide
Lab 6: Code Breaking by MCMC (Due 9/29 noon)
HW 6 (Due 10/2)
Wed 9/26 Lecture 10: Markov Chain Monte Carlo
Thu 9/27 Discussion
Fri 9/28 Lab
7 Mon 10/1 Lecture 11: Midterm Review Midterm Prep
Wed 10/3 MIDTERM (in class)
Thu 10/4 Day Off
Fri 10/5 Day Off
8 Mon 10/8 Lecture 12: SD: tail bounds, least squares Week 8 Guide
Lab 7: Decisions Based on Ranks (Due 10/13 noon)
HW 7 (Due 10/16)
Wed 10/10 Lecture 13: Covariance and its uses
Thu 10/11 Discussion
Fri 10/12 Lab
9 Mon 10/15 Lecture 14: Central Limit Theorem Week 9 Guide
Lab 8: Simulation and the CDF (Due 10/20 noon)
HW 8 (Due 10/23)
Wed 10/17 Lecture 15: Probability densities
Thu 10/18 Discussion
Fri 10/19 Lab
10 Mon 10/22 Lecture 16: Transformations Week 10 Guide
Lab 9: Densities and SymPy(Due 10/27 noon)
HW 9 (Due 10/30)
Wed 10/24 Lecture 17: Joint densities; the beta family
Thu 10/25 QUIZ 3
Fri 10/26 Lab
11 Mon 10/29 Lecture 18: Independent normal and gamma variables Week 11 Guide
Lab 10: Chinese Restaurant Process 1 (Due 11/3 noon)
HW 10 (Due 11/7 NOON)
Wed 10/31 Lecture 19: Moment generating functions; Chernoff bound
Thu 11/1 Discussion
Fri 11/2 Lab
12 Mon 11/5 Lecture 20: MLE, posterior distributions, and MAP estimates Week 12 Guide
Lab 11: Chinese Restaurant Process 2 (Due 11/10 noon)
HW 11 (Due 11/13)
Wed 11/7 Lecture 21: The beta and the binomial
Thu 11/8 Discussion
Fri 11/9 Lab
13 Mon 11/12 NO LECTURE Week 13 Guide
Lab 12: Introduction to Jointly Normal Vectors (Due 11/19 4PM)
HW 12 (Due 11/21)
Wed 11/14 Lecture 22: Prediction and Error
Thu 11/15 QUIZ 4
Fri 11/16 Lab
14 Mon 11/19 NO CLASS Week 14 Guide
HW 13 (Due 11/27)
Wed 11/21 HOLIDAY
Thu 11/22 HOLIDAY
Fri 11/23 HOLIDAY
15 Mon 11/26 Lecture 23: Multivariate normal distribution Week 15 Guide
Wed 11/28 Lecture 24: Correlation and simple regression
Thu 11/29 Discussion
Fri 11/30 Review Lab
16 Mon 12/3 Lecture 25: Multiple regression Final Prep
Wed 12/5 Ch 25 Exercises and Review
Thu 12/6
Fri 12/7
17 Mon 12/10
Wed 12/12
Thu 12/13
Fri 12/14 FINAL EXAM 3pm-6pm