Course Schedule


Schedule Table
Date Topic Due
Unit 1: Simple Linear Regression
1/23 Welcome
1/26 Univariate visual & numerical summaries CP 1,Installation of R/RStudio
1/28 Simple linear regression: discovery
1/30 Simple linear regression: formalization CP 2
2/2 Model evaluation PS 1, CP 3
2/4 Transformations CP 4
2/6 Catch Up Day
2/9 Categorical predictors PS 2, CP 5
Unit 2: Multiple Linear Regression
2/11 Multiple linear regression: discovery
2/13 Review Day
2/16 Quiz 1 (Unit 1)
2/18 Modeling principles CP 6
2/20 Confounding Midsemester 1 Reflection
2/23 Catch Up Day + Project Intro CP 7
2/25 Interaction: exploration PS 3
2/27 Interaction: practice CP 8, Quiz 1 Revisions
3/2 Model building I CP 9
3/4 Model building II
3/6 No Class - MSCS Capstone Days Attend 2 Capstone Talks, Project group preference form
Unit 3: Logistic Regression
3/9 Probability & Odds PS 4, CP 10
3/11 Logistic regression I CP 11, Capstone Reflections
3/13 Logistic regression II
3/16 Spring Break!
3/18 Spring Break!
3/20 Spring Break!
3/23 Review Logistic + project time PS 5 (on Tuesday)
3/25 Review Day
Unit 4: Inference
3/27 Sampling variation & the Normal Model CP 12
3/30 Quiz 2 (Units 1 - 3)
4/1 Sampling distributions, CLT, Bootstrapping CP 13
4/3 No Class - Project time Midsemester 2 Reflection
4/6 Sampling distribution recap + project time Project milestone 1
4/8 Confidence intervals CP 14
4/10 More Confidence intervals Quiz 2 Revisions
4/13 Hypothesis testing: discovery PS 6
4/15 Hypothesis testing: details CP 15
4/17 Project time
4/20 Hypothesis testing: considerations PS 7
4/22 F tests & Nested models CP 16
4/24 Project Work Project Milestone 2
4/27 P-values PS 8
4/29 Project time
5/1 Project time
5/4 End of Course Surveys + Review Project Final Submission + Final Reflection & Assessment
Quiz 3 (Units 1 - 4)
1:10-2:10pm section: Friday, 5/8 from 1:30-3:30pm
2:20-3:20pm section: Thursday, 5/7 from 1:30-3:30pm