Spring 2019 - Ani Adhikari

Announcements! ( See All )
4/16 - Week 13 assignments have been posted! Quiz 4 will be on Wed 4/24 in section.
4/9 - Week 12 assignments have been posted!
4/2 - Homework 9 has been posted! Quiz 3 will be on Wed 4/10 in section.
3/19 - Week 9 assignments have been posted! Lab 8 due Sun 3/24 at noon. HW 8 due Tue 4/2 at noon.
3/12 - Week 8 assignments have been posted! Quiz 2 will be on Wed 3/20 in section.
3/5 - Week 7 assignments have been posted!
2/19 - Week 5 assignments have been posted! Midterm 1 on Thu 2/28.
2/12 - Week 4 assignments have been posted! Lab 4 due on Sun 2/17 at noon.
2/5 - Week 3 assignments have been posted! Quiz 1 on Wed 2/6 in your assigned section.
1/29 - Week 2 assignments have been posted! Quiz 1 will be on Wed 2/6 in section.
1/22 - Week 1 assignments have been posted! Please bring your laptops to section.

Week 0 Overview

Getting Started

Before January 22

Week 1

Introduction

1/22-1/25

Week 2

Symmetry and Random Counts

1/28-2/1

Week 3

Poissonization; Expectation

2/4-2/8

Week 4

Conditioning and Markov Chains

2/11-2/15

Week 5

MCMC

2/18-2/22

Week 6

Midterm Week

2/25-3/1

Week 7

Variance and Covariance

3/4-3/8

Week 8

Continuous Distributions

3/11-3/15

Week 9

Working with Continuous Distributions

3/18-3/22

Week 10

Spring Break

3/25-3/31

Week 11

The Normal and Gamma Families

4/1-4/5

Week 12

MLE, MAP, and the Beta Family

4/8-4/12

Week 13

Beta-Binomial and Prediction

4/15-4/19

Week 14

Multivariate Normal Distribution

4/22-4/26

Week 15

Regression

4/29-5/3

Week 16

RRR Week

5/6-5/10

Week 17

Finals Week

5/13-5/17

WeekDateContentPrep & Assignments
1 Tue 1/22 Lecture 1: Probability — axioms, rules, approximation Week 1 Guide
Lab 1: Birthday Attack (Due 1/26 noon)
HW 1 (Due 1/29 noon)
Wed 1/23 Discussion
Thu 1/24 Lecture 2: Random variables — distributions, conditioning, equality
Fri 1/25 Discussion; Supplementary Sections
2 Tue 1/29 Lecture 3: Symmetry and collections of events Week 2 Guide
Lab 2: Total Variation (Due Sat 2/2 noon)
HW 2 (Due Tue 2/5 noon)
Wed 1/30 Discussion
Thu 1/31 Lecture 4: Binomial and related counts; a Poisson limit
Fri 2/1 Discussion; Supplementary Sections
3 Tue 2/5 Lecture 5: Independence and Poissonization Week 3 Guide
Lab 3: Expectations of Discrete Order Statistics (Due Sat 2/9 noon)
HW 3 (Due Tue 2/12 noon)
Wed 2/6 QUIZ 1
Thu 2/7 Lecture 6: Expectation and additivity
Fri 2/8 Discussion; Supplementary Sections
4 Tue 2/12 Lecture 7: Expectation by conditioning Week 4 Guide
Lab 4: Success Runs and Other Patterns (Due Sun 2/17 noon)
HW 4 (Due Tue 2/19 noon)
Wed 2/13 Discussion
Thu 2/14 Lecture 8: Long run behavior of Markov Chains
Fri 2/15 Discussion; Supplementary Sections
5 Tue 2/19 Lecture 9: Balance Week 5 Guide
Midterm Prep
Lab 5: Codebreaking by MCMC (Due Sat 2/23 noon)
HW 5 (Due Tue 2/26 noon)
Wed 2/20 Discussion
Thu 2/21 Lecture 10: Markov Chain Monte Carlo
Fri 2/22 Discussion; Supplementary Sections
6 Tue 2/26 Lecture 11: Midterm review
Wed 2/27 Discussion
Thu 2/28 MIDTERM (in class)
Fri 3/1 Day Off
7 Tue 3/5 Lecture 12: SD and tail bounds Week 7 Guide
Lab 6: Decisions Based on Ranks (Due Sat 3/9 noon)
HW 6 (Due Tue 3/12 noon)
Wed 3/6 Discussion
Thu 3/7 Lecture 13: Covariance and its uses
Fri 3/8 Discussion; Supplementary Sections
8 Tue 3/12 Lecture 14: Central Limit Theorem Week 8 Guide
Lab 7: Simulation and the CDF (Due Sat 3/16 noon)
HW 7 (Due Tue 3/19 noon)
Wed 3/13 Discussion
Thu 3/14 Lecture 15: Probability densities
Fri 3/15 Discussion; Supplementary Sections
9 Tue 3/19 Lecture 16: Transformations Week 9 Guide
Lab 8: Densities and SymPy (Due Sun 3/24 noon)
HW 8 (Due Tue 4/2 noon)
Wed 3/20 QUIZ 2
Thu 3/21 Lecture 17: Joint densities Lecture 17 Demo
Fri 3/22 Discussion
10 Tue 3/26 Holiday
Wed 3/27 Holiday
Thu 3/28 Holiday
Fri 3/29 Holiday
11 Tue 4/2 Lecture 18: Independent normal and gamma variables; moment generating functions Week 11 Guide
HW 9 (Due Tue 4/9 noon)
Lab 9: Poisson Process (Due Sat 4/13 noon)
Wed 4/3 Discussion
Thu 4/4 Lecture 19: CLT revisited; Chernoff bound
Fri 4/5 Discussion; Supplementary Sections
12 Tue 4/9 Lecture 20: MLE Week 12 Guide
HW 10 (Due Tue 4/16 noon)
Lab 9: Poisson Process (Due Sat 4/13 noon)
Wed 4/10 QUIZ 3
Thu 4/11 Lecture 21: Beta family; posterior distributions; MAP estimates
Fri 4/12 Discussion; Supplementary Sections
13 Tue 4/16 Lecture 22: The beta and the binomial Week 13 Guide
HW 11 (Due Tue 4/23 noon)
Lab 10: Chinese Restaurant Process (Due Sat 4/20 noon)
Wed 4/17 Discussion
Thu 4/18 Lecture 23: Prediction and error
Fri 4/19 Discussion; Supplementary Sections
14 Tue 4/23 Lecture 24: Random vectors; the multivariate normal
Wed 4/24 QUIZ 4
Thu 4/25 Lecture 25: Properties of the multivariate normal; the bivariate case
Fri 4/26 Discussion; Supplementary Sections
15 Tue 4/30 Lecture 26: Correlation and simple regression
Wed 5/1 Discussion
Thu 5/2 Lecture 27: Multiple regression
Fri 5/3 Discussion
16 Tue 5/7
Wed 5/8
Thu 5/9
Fri 5/10
17 Tue 5/14
Wed 5/15
Thu 5/16
Fri 5/17 FINAL EXAM (11:30 a.m. to 2:30 p.m.)