Schedule
The schedule below provides a tentative outline of our plans for the semester.
The course schedule is subject to change! Please check back frequently throughout the semester. When in doubt, refer to the deadlines listed in the STAT 253 Google Calendar.
For each class period, the table below will list the topic, tasks that should be completed before class (Before), materials we will cover during class (During), tasks that should be completed after class (After), and any additional resources for that topic.
Readings refer to An Introduction to Statistical Learning with Applications in R (ISLR), which is available free online here. The ISLR readings are highly encouraged and serve as a nice complement to the videos and in-class activities.
All materials that you will need during class time (e.g., notes, activity templates) can be found on this website. You will access most assignments completed outside of class time (e.g. checkpoints, homework) via Moodle.
| Date | Before | During | After | Resources |
|---|---|---|---|---|
| 01/26 | Background Survey | Unit 0: Introductions | Start HW0 (due 01/30) | ISLR Chapter 1 & Section 2.1 (skip 2.1.2-2.1.3) |
| 01/28 |
Concept Video (script) CP1 |
Unit 1: Evaluating Regression Models (QMD) |
Finish HW0 Start HW1 (due 02/06) |
ISLR 2.2 (skip 2.2.3) & 3.1 R Tutorial Video (code) Optional: Evaluating Regression Models Intro to TidyModels |
| 02/02 | CP2 |
Unit 1: Overfitting (Part 1 QMD) (Part 2 QMD) |
Continue HW1 |
ISLR 2.1.2 & 5.1 R Tutorial Video (code) Optional: Overfitting |
| 02/04 |
Concept Video 1 (script) Concept Video 2 (script) CP3 |
Unit 1: Cross-Validation (QMD) | Finish HW1 |
ISLR 5.1 R Tutorial (code) Optional: Cross-Validation Training, Testing and Cross-Validation in R |
| 02/09 |
R Code Video (code) CP4 |
Unit 2: Variable Selection (Part 1 QMD) (Part 2 QMD) |
Start HW2 (due 02/18) |
ISLR 6.1 Optional: Variable Subset Selection R Tutorial: Preprocessing and Recipes R Tutorial: Subset Selection |
| 02/11 |
Concept Video 1 (script) Concept Video 2 (script) CP5 |
Unit 2: LASSO (QMD) | Continue HW2 |
ISLR 6.2 R Tutorial: Part 1 (code) R Tutorial: Part 2 (code) Optional: LASSO Concept Video LASSO R Tutorial |
| 02/16 | Unit 2: LASSO (continued) | Finish HW2 | see above | |
| 02/18 | Unit 3: Nonparametric Models (QMD) |
Start HW3 (due 02/27) Start GA1 (due 03/06) |
ISLR 2.1.2, 3.5 | |
| 02/23 |
Concept Video 1 (script) Concept Video 2 (script) CP6 |
Unit 3: KNN & Bias-Variance Tradeoff (QMD) |
Continue HW3 Continue GA1 Study for Quiz 1 |
ISLR 2.2.2, 3.5 R Tutorial (code) Optional: KNN Regression & Bias-Variance Tradeoff KNN Regression R Tutorial |
| 02/25 |
Concept Video 1 (script) Concept Video 2 (script) CP7 |
Unit 3: LOESS & Splines (QMD) |
Finish HW3 Continue GA1 Study for Quiz 1 |
ISLR 7.1-7.4, 7.6-7.7 Optional: Logal Regression & GAMs Local Regression & GAMs R Tutorial Polynomial Regression & Splines R Tutorial |
| 03/02 | GA1 Steps 1–6 | Units 0–3: Review / GA1 Work Day |
Continue GA1 Study for Quiz 1 |
|
| 03/04 | (study!) | Quiz 1 + GA1 Work Time | Finish GA1 | |
| 03/05-03/06 | MSCS Capstone Days! (attend if you are able) | |||
| 03/09 |
OPTIONAL: Capstone Reflection Concept Video 1 (script) Concept Video 2 (script) CP8 |
Unit 4: Logistic Regression (QMD) | Start HW4 (due 03/13) |
ISLR 4.1–4.3 Optional: Logistic Regression R Video |
| 03/11 |
Concept Video 1 (script) Concept Video 2 (script) CP9 |
Unit 4: Evaluating (binary) Classification Models (QMD) |
Finish HW4 Start Quiz Revisions |
ISLR 4.1–4.3 Optional: Evaluating Classification Models R Video |
| 03/16–03/20 | Spring Break (no class this week!) | |||
| 03/23 | Unit 5: KNN & Decision Trees (QMD) |
Start HW5 (due 04/03) Continue Revisions |
ISLR 2.2.3, 8.1 Optional: Decision Trees R Video |
|
| 03/25 |
Concept Video 1 (script) Concept Video 2 (script) CP10 |
Unit 5: More KNN & Decision Trees (QMD) |
Continue HW5 Finish Revisions |
ISLR 8.1 Optional: Decision Trees R Video |
| 03/30 | Quiz Revisions (bring to class) | Unit 5: Bagging & Random Forests (QMD) |
Continue HW5 Start GA2 (due 04/10) Study for Quiz 2 |
ISLR 8.2 Optional: Bagging and Random Forests R Video |
| 04/01 |
Concept Video (script) CP11 |
Unit 5: Forests (continued) |
Finish HW5 Continue GA2 Study for Quiz 2 |
see above |
| 04/06 | Units 4–5: Review / GA2 Work Day |
Continue GA2 Study for Quiz 2 |
||
| 04/08 | (study!) | Quiz 2 + GA2 Work Time | Finish GA2 |