Course schedule for ECON 122 (F21)

Michael Gelman (mgelman@cmc.edu), Claremont McKenna College

Zoom link for remote viewing: https://cmc-its.zoom.us/j/83940572855?pwd=N3U5RXZ1M0tEMmJvc2w1T29ITDN4Zz09

Office hours:

In person: Mo/We 12:25 PM outside RN12 (or come inside and let me know you want to meet)
Virtual: Sign up here and use this zoom link

Tutor sessions (BC 22):

Mo 06:00-08:00 PM - Matthew San Luis
We 08:00-10:00 PM - Vasu Rai

Textbook 1: Modern Data Science with R (1st edition)
Textbook 2: An Introduction to Statistical Learning

Syllabus
GitHub reference quick guide
GitHub reference full guide
Additional free resource: R for Data Science

This week

Assignments due

Test assignment (due 09/03)
- Solutions .Rmd .md
Problem Set 1 (due 09/13)
- Solutions .Rmd .md
Problem Set 2 (due 09/22)
- Solutions .Rmd .md
Team Project 1 (due 09/27)
- Example .md
Problem Set 3 (due 10/04)
- Solutions .Rmd .md
Problem Set 4 (due 10/11)
- Solutions .Rmd .md
Problem Set 5 (due 11/10)
- Solutions .Rmd .md
Team Project 2 (due 11/22) [Description]
Problem Set 6 (due 11/29)
- Solutions .Rmd .md
Final Project (due 12/17) [Description]

Week 1 (08/30)

Monday (intro, GitHub, test assignment)

before class:
- Try to set up R, RStudio, Git, GitHub account (See GitHub reference quick guide and See GitHub reference full guide)
in class:
- day 1 slides: .Rmd .html
- test assignment

Wednesday (reproducibility, R Markdown)

before class:
- complete test assignment and push both .rmd and .md files to GitHub.
- read MDSR Chapter 1 and Appendix D
- Start looking at PS 1
in class:
- day 2 slides: .Rmd .html
- day 2 activity: .Rmd .md

Week 2 (09/06)

Monday

Labor day!!

Wednesday (R objects, R functions)

before class:
- read MDSR Appendix sections B.4, B.5 and C.2
- read Grolemund/Wickham sections 20.2 Vector Basics, 20.3 Types of Vectors (focus on logical, numeric), and 20.5 Lists
- Reminder: PS 1 due on Monday
in class:
- day 3 slides .Rmd .html
- day 3 activity: .Rmd .md
  - solutions: .Rmd .md

Week 3 (09/13)

Monday (ggplot2 graphics)

before class:
- read MDSR sections 3.1 and 3.2. Section 3.3 contains some dplyr work that I will save for discussion in chapter 4.
- read Grolemund/Wickham sections 3.1 - 3.5
in class:
- day 4 slides: .Rmd .html
- day 4 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (more ggplot2 and interactive graphics)

before class:
- little more ggplot: read Grolemund/Wickham sections 3.6 - 3.10
- just read pages 324-325 in MDSR to get a feel for map projections. For now we will just be working with simple maps that only need lat/long and build-in map boundaries.
- quick read MDSR sections 11.1-11.3 in chapter 11 to get a "big picture" idea of some of the interactive graphing options in R.
- Start on PS 2
in class:
- discuss group projects
- day 5 slides: .Rmd .html
- day 5 interactive graphics slides: .Rmd
- day 5 activity: .Rmd .md
  - solutions: .Rmd .md

Week 4 (09/20)

Monday (Introduction to dplyr)

before class:
- read MDSR sections 4.1 and 4.2
in class: basic data wrangling with dplyr
- day 6 slides: .Rmd .html
- day 6 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Work on Team Project 1)

before class:
- Make sure you have your Team Project 1 partners
in class:
- Work with partners on Team Project 1
- Ask any questions related to material up to this point

Week 5 (09/27)

Monday (Joins in dplyr)

before class:
- read MDSR section 4.3 and 4.4
- get started with PS 3
in class:
- day 7 slides: .Rmd .html
- day 7 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Data intake)

before class
- read MDSR sections 5.5.3 and 5.5.4 (we'll come back to the other sections after the exam)
- read Grolemund/Wickham chapter 16 - focus on sections 16.2 and 16.3.
in class
- day 8 slides: .Rmd .html
- day 8/9 activity: .Rmd .md
  - solutions: .Rmd .md

Week 6 (10/04)

Monday (tidy data: reshaping with gather and spread)

before class:
- read MDSR sections 5.1-5.3
in class:
- day 9 slides: .Rmd .html
- continue day 8/9 activity

Wednesday (Strings and regular expressions)

before class:
- read Grolemund/Wickham chapter 14 on strings and regular expressions
- finish up homework 4 - due Monday
  - to tackle problem 4 Q2, make sure to review the lubridate examples in the day 8 slides and WG section 16.2.2.
in class:
- exam explanation
- day 10 slides: .Rmd .html
- day 10 activity: .Rmd .md
  - solutions: .Rmd .html

Week 7 (10/11)

Monday (Iteration)

before class:
- read MDSR section 5.4
in class:
- day 11 slides: .Rmd .html
- day 11 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday

before class:
- study for exam 1
in class:
- take exam 1

Week 8 (10/18)

Monday

Fall Break!!

Wednesday (Statistical Learning)

before class:
- read ISLR section 2.1-2.2, 3.1
in class:
- day 12 slides: .Rmd .html
- day 12 activity: .Rmd .md
  - solutions: .Rmd .md

Week 9 (10/25)

Monday (Intro to Classifiers)

before class:
- Read ISLR section 4.1-4.2
- Read this article explaining what a confusion matrix is
- Read this helpful article on evaluating classification models
in class:
- day 13 slides: .Rmd .html
- day 13 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Logistic regression)

before class:
- Read ISLR section 4.3
- Read MDSR section 8.4.4 on ROC curves
in class:
- day 14 slides: .Rmd .html
- day 14 activity: .Rmd .md
  - solutions: .Rmd .md

Week 10 (11/01)

Monday (Cross Validation)

before class:
- Read ISLR section 5.1
- Read MDSR section 8.4.1 (10.3.2)
- Read this blog on statistical learning vs. machine learning
in class:
- day 15 slides: .Rmd .html
- day 15 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Decision Trees)

before class:
- Read MDSR section 8.2.1-8.2.3 (11.1.1)
- Read ISLR section 8.1
in class:
- quick note on TeamProject2
- day 16 slides: .Rmd .html
- day 16 activity: .Rmd .md
  - solutions: .Rmd .md

Week 11 (11/08)

Monday (Other classifiers)

before class:
- Read MDSR section 8.2.4-8.2.5 (11.1.2-11.1.3)
- Read ISLR section 2.2.3 (k-nn), 8.2.1-8.2.2 (bagging\random forest)
in class:
- day 17 slides: .Rmd .html
- day 17 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Work on Team Project 2)

before class:
- Make sure you have your Team Project 2 partners
in class:
- Work with partners on Team Project 2
- Start thinking about the Final Project
- Ask any questions related to material up to this point

Week 12 (11/15)

Monday (k-means clustering)

before class:
- Read ISLR section 10.3-10.3.1
- Read MDSR section 9.1,9.1.2 (12.1,12.1.2)
in class:
- day 18 slides: .Rmd .html
- day 18 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Hierarchical clustering)

before class:
- Read ISLR section 10.3.2
- Read MDSR section 9.1.1 (12.1.1)
in class:
- day 19 slides: .Rmd .html
- day 19 activity: .Rmd .md
  - solutions: .Rmd .md

Week 13 (11/22)

Monday (Networks Intro)

before class:
- Read MDSR section 16.1-16.2 (20.1,20.2)
in class:
- Final project proposal
- exam 2 explanation
- day 20 slides: .Rmd .html
- day 20 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Thanksgiving!)

Prepare Thanksgiving meal
Eat Thanksgiving meal
Sleep

Week 14 (11/29)

Monday (Networks Statistics)

before class:
- Finish up PS6
in class:
- Team Project 2 results
- Discuss Final Project proposals
- day 21 slides: .Rmd .html
- day 21 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Exam 2)

before class:
- study for exam 2
- bring a calculator
in class:
- take exam 2

Week 15 (12/06)

Monday (Networks Activity)

before class
- read MDSR 16.3 and 16.4 (20.3,20.4)
- read this article on the Game of Thrones network
in class
- day 22 slides: .Rmd .html
- day 22 activity: .Rmd .md
  - solutions: .Rmd .md

Wednesday (Work on Final Project)

before class:
- Start to make progress on Final Project
in class:
- Work with partners on Final Project
- Fill out evaluations
- Celebrate end of classes!!

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