What’s Going On?

Week 00 Aug 17 - Aug 21

Syllabus week! Welcome to STAT 432!

Assignments

Assignment Deadline Credit
Quiz 00 Friday, 11:59 PM 105%

Reading

Link Source
Syllabus Course Website
FAQ Course Website
The Extended Syllabus Instructor Website
Ten Simple Rules for Success in STAT 432 Instructor Website
Computing Basics of Statistical Learning

Week 01 Aug 24 - Aug 28

First official week of class! Machine learning overview. Probability, statistics, and computing review.

Assignments

Assignment Deadline Credit
Quiz 00 Friday, 11:59 PM 100%
Quiz 01 Friday, 11:59 PM 105%

Reading

Link Source
Machine Learning Overview Basics of Statistical Learning
Probability Basics of Statistical Learning
Statistics Basics of Statistical Learning
Computing Basics of Statistical Learning

Video

Title Link Mirror
1.1 - Welcome! 1.1 - YouTube 1.1 - MediaSpace
1.2 - R and RStudio Setup 1.2 - YouTube 1.2 - MediaSpace
1.3 - Just Hit [tab] 1.3 - YouTube 1.3 - MediaSpace
1.4 - Machine Learning Tasks 1.4 - YouTube 1.4 - MediaSpace

Office Hours

Staff and Link Day Time
Zoom with Matthew Wednesday 4:00 PM - 5:00 PM
Zoom with David Wednesday 7:00 PM - 8:00 PM
Zoom with Jingyu Wednesday 8:00 PM - 10:00 PM
Zoom with Jasmine Thursday 4:00 PM - 5:00 PM
Zoom with David Thursday 7:00 PM - 8:00 PM
Zoom with Tianyi Thursday 8:00 PM - 10:00 PM

Week 02 Aug 31 - Sep 04

Introduction to regression for prediction tasks and supervised learning in general.

Assignments

Assignment Deadline Credit
Quiz 00 Friday, 11:59 PM 85%
Quiz 01 Friday, 11:59 PM 100%
Quiz 02 Friday, 11:59 PM 105%

Reading

Link Source
Linear Regression Basics of Statistical Learning

Video

Title Link Mirror
2.1 - Linear Regression 2.1 - YouTube 2.1 - MediaSpace
2.2 - Linear Regression in R 2.2 - YouTube 2.2 - MediaSpace

Office Hours

Staff and Link Day Time
Zoom with Matthew Wednesday 4:00 PM - 5:00 PM
Zoom with Jonas Wednesday 5:00 PM - 7:00 PM
Zoom with David Wednesday 7:00 PM - 8:00 PM
Zoom with Jingyu Wednesday 8:00 PM - 10:00 PM
Zoom with Jasmine Thursday 4:00 PM - 5:00 PM
Zoom with David Thursday 7:00 PM - 8:00 PM
Zoom with Tianyi Thursday 8:00 PM - 10:00 PM

Week 03 Sep 07 - Sep 11

Introduction to nonparametric regression and discussions of model flexibility, the bias-variance tradeoff, and overfitting.

Assignments

Assignment Deadline Credit
Quiz 01 Friday, 11:59 PM 85%
Quiz 02 Friday, 11:59 PM 100%
Quiz 03 Friday, 11:59 PM 105%

Video

Title Link Mirror
3.1 - Nonparametric Regression 3.1 - YouTube 3.1 - MediaSpace
3.2 - KNN and Trees in R 3.2 - YouTube 3.2 - MediaSpace
3.3 - Supervised Learning Concepts 3.3 - YouTube 3.3 - MediaSpace

Office Hours

Staff and Link Day Time
Zoom with Matthew Wednesday 4:00 PM - 5:00 PM
Zoom with Jonas Wednesday 5:00 PM - 7:00 PM
Zoom with David Wednesday 7:00 PM - 8:00 PM
Zoom with Jingyu Wednesday 8:30 PM - 10:30 PM
Zoom with Jasmine Thursday 4:00 PM - 5:00 PM
Zoom with David Thursday 7:00 PM - 8:00 PM
Zoom with Tianyi Thursday 8:00 PM - 10:00 PM

Week 04 Sep 14 - Sep 18

This week we will introduce the classification task in detail.

Assignments

Assignment Deadline Credit
Quiz 02 Friday, 11:59 PM 85%
Quiz 03 Friday, 11:59 PM 100%
Quiz 04 Friday, 11:59 PM 105%

Video

Title Link Mirror
4.1 - Classification Introduction 4.1 - YouTube 4.1 - MediaSpace
4.2 - Nonparametric Classification 4.2 - YouTube 4.2 - MediaSpace
4.3 - Classification in R 4.3 - YouTube 4.3 - MediaSpace

Office Hours

Staff and Link Day Time
Zoom with Matthew Wednesday 4:00 PM - 5:00 PM
Zoom with Jonas Wednesday 5:00 PM - 7:00 PM
Zoom with David Wednesday 7:00 PM - 8:00 PM
Zoom with Jingyu Wednesday 8:00 PM - 10:00 PM
Zoom with Jasmine Thursday 4:00 PM - 5:00 PM
Zoom with David Thursday 7:00 PM - 8:00 PM
Zoom with Tianyi Thursday 8:00 PM - 10:00 PM

Week 05 Sep 21 - Sep 25

This week we will introduce logistic regression and discuss the details of evaluating models for binary classification

Assignments

Assignment Deadline Credit
Quiz 03 Friday, 11:59 PM 85%
Quiz 04 Friday, 11:59 PM 100%
Quiz 05 Friday, 11:59 PM 105%

Video

Title Link Mirror
5.1 - Logistic Regression 5.1 - YouTube 5.1 - MediaSpace
5.2 - Binary Classification 5.2 - YouTube 5.2 - MediaSpace
5.3 - Logistic Regression in R 5.3 - YouTube 5.3 - MediaSpace
5.4 - Binary Classification in R 5.4 - YouTube 5.4 - MediaSpace

Office Hours

Staff and Link Day Time
Zoom with Matthew Wednesday 4:00 PM - 5:00 PM
Zoom with Jonas Wednesday 5:00 PM - 7:00 PM
Zoom with David Wednesday 7:00 PM - 8:00 PM
Zoom with Jingyu Wednesday 8:00 PM - 10:00 PM
Zoom with Jasmine Thursday 4:00 PM - 5:00 PM
Zoom with David Thursday 7:00 PM - 8:00 PM
Zoom with Tianyi Thursday 8:00 PM - 10:00 PM

Week 06 Sep 28 - Oct 02

Week 07 Oct 05 - Oct 09

This is the exam week!

Week 08 Oct12 - Oct 16

Week 09 Oct 19 - Oct 23

Week 10 Oct 26 - Oct 30

Week 11 Nov 02 - Nov 06

Week 12 Nov 09 - Nov 13

Week 13 Nov 16 - Nov 20

Week 14 Nov 23 - Nov 27

This week is Fall Break. There are no course activities.

Week 15 Nov 30 - Dec 04

Week 16 Dec 07 - Dec 11

Week 17 Dec 14 - Dec 18

You’re still here? It’s over. Go home. Go!


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