Schedule

Overview

Week Monday Wednesday Friday Announcements
1 (9/2 - 9/6) First day of class Univariate visualization and summaries
Checkpoint 1 due 11:30am
2 (9/9 - 9/13) Introduction to simple linear regression Simple linear regression: formalizing concepts
Checkpoint 2 due 11:30am
Time to work on PP1 PP1 due Friday 9/13 at 5pm
3 (9/16 - 9/20) Model evaluation
Checkpoint 3 due 11:30am
Variable transformations
Checkpoint 4 due 11:30am
Data-finding activity with Mac librarians
Project Group Preferences survey due 5pm
PP2 due Friday 9/20 at 5pm
4 (9/23 - 9/27) Categorical predictors
Checkpoint 5 due 11:30am
Multiple predictors in linear regression Quiz 1 (1 hour in class) No Practice Problems this week, but PP3 due next Friday
5 (9/30 - 10/4) Multiple linear regression: principles
Checkpoint 6 due 11:30am
Multiple linear regression: confounding
Checkpoint 7 due 11:30am
Work day PP3 due Friday 10/4 at 5pm
6 (10/4 - 10/11) Introduction to interaction models Practice with interaction models
Checkpoint 8 due 11:30am
No class today (Leslie will be at a workshop) but feel free to use the classroom to work with your project groups PP4 due Friday 10/11 at 5pm
7 (10/14 - 10/18) Model building (Part 1)
Checkpoint 9 due 11:30am
Model building (Part 2) Fall Break! Project Checkpoint 1 due Wednesday 10/16 at 5pm
8 (10/21 - 10/25) Probability and Odds
Checkpoint 10 due 11:30am
Simple logistic regression
Checkpoint 11 due 11:30am
Multiple logistic regression and evaluation
Checkpoint 12 due 11:30am
PP5 due Friday 10/25 at 5pm
9 (10/28 - 11/1) Sampling variation, normal distribution
Checkpoint 13 due 11:30am
Sampling distributions and the CLT
Checkpoint 14 due 11:30am
Quiz 2 (1 hour in class)
10 (11/4 - 11/8) Bootstrapping Day after Election Day. No new content today. Confidence intervals
Checkpoint 15 due 11:30am
PP6 due Friday 11/8 at 5pm
11 (11/11 - 11/15) Hypothesis testing: discovering ideas Hypothesis testing: details
Checkpoint 16 due 11:30am
Work day PP7 due Friday 11/15 at 5pm
Quiz 2 + PP corrections and reflection due Monday 11/18 at 5pm
12 (11/18 - 11/22) Hypothesis testing: practice
Quiz 2 + PP reflection and revisions due at 5pm
Hypothesis testing: testing multiple coefficients
Checkpoint 17 due 11:30am
Discussion: p-values in practice
See this document for assigned reading.
PP8 due Friday 11/22 at 5pm
Project Checkpoint 2 due Tuesday 11/26 at 5pm
13 (11/25 - 11/29) Project work time 🦃 Thanksgiving Break 11/27 - 12/1 🦃 Project Checkpoint 2 due Tuesday 11/26 at 5pm
14 (12/2 - 12/6) Project work time and review Project work time and review Project work time and review
End-of-course surveys in class
Final Project Paper due Wednesday 12/11 at 5pm

Quiz 3 (cumulative) during final exam period: Monday, 12/16 8:00-10:00am. See more information below.
15 (12/9 - 12/13) Project work time and review Last day of class
Digital project poster session. See details below.
Final Project Paper due Wednesday 12/11 at 5pm

Quiz 3 (cumulative) during final exam period: Monday, 12/16 8:00-10:00am. See more information below.
16 (12/16 - 12/20) Monday, December 16
Quiz 3 during final exam slot: 8:00-10:00am
Single PP correction due Sunday, 12/15 at 8am (24 hours before Quiz 3).

Weekly details

Announcements

Welcome (back) to campus!

Wednesday (9/4)

Before class:

  • Review the course syllabus
  • Familiarize yourself with Moodle and the course website
  • Complete the Welcome survey
  • Listen to the first episode of the Sold a Story podcast (Episode 1: The Problem) (~30 minutes). This will provide some useful context for what we explore on our first day together.

Friday (9/6)

Before class:

  • Complete all required steps on the R Resources page
  • Complete the Welcome survey (if you haven’t already!)
  • Complete today’s checkpoint (CP1) on Moodle
    • Do either the readings or videos for the Day 2 Activity (see Moodle checkpoint description for links to the readings and videos)
    • Due 30 minutes before class today (11:30am on 9/6)

Announcements

Monday (9/9)

Before class:

  • Review material as needed
  • No checkpoint today!

Wednesday (9/11)

Before class:

  • Complete today’s checkpoint (CP2) on Moodle
    • Do either the readings or videos (see Moodle checkpoint description for links to the readings and videos)
    • Due 30 minutes before class today (11:30am on 9/11)

Friday (9/13)

Before class:

Announcements

  • Practice Problems #2 (PP2) due Friday 9/20 at 5pm
  • Project Group Preferences Survey due Friday 9/20 at 5pm
    • This is a short survey to help me determine groups for the course project.
  • Quiz 1 is next Friday 9/27 and covers Activities 1-7 (Data Fundamentals to Simple Linear Regression: Categorical Predictors, which we’ll talk about next Monday.)

Monday (9/16)

Before class:

  • Complete today’s checkpoint (CP3) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Wednesday (9/18)

Before class:

  • Complete today’s checkpoint (CP4) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Friday (9/20)

Before class

  • Think about an area that you might want to explore for the course project. Macalester’s librarians will be coming in to lead a workshop on finding data.

Announcements

  • No Practice Problems due this week to allow time to study for Quiz 1 this Friday 9/27.
  • For a reminder about quiz format, see this part of the syllabus.

Monday (9/23)

Before class:

  • Complete today’s checkpoint (CP5) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Wednesday (9/25)

Before class:

  • Review material as needed
  • No checkpoint today!

Friday (9/27)

Quiz 1 (1 hour in class)

Announcements

  • Practice Problems #3 (PP3) due Friday 10/4 at 5pm
  • Take a look at project group assignments posted on Moodle.
    • Work on connecting with your team, finding a dataset, and working on Project Checkpoint 1.
    • Wednesday, October 16: Project Checkpoint 1 due (ignore the Friday, October 11 mentioned in the Google Doc description of the project at the top of the project page)

Monday (9/30)

Before class:

  • Complete today’s checkpoint (CP6) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Wednesday (10/2)

Before class:

  • Complete today’s checkpoint (CP7) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Friday (10/4)

Time to work on practice problems, project in class

Announcements

  • Intro to R/RStudio Workshop, Thursday, Oct 10, noon-1pm, Library 250
    • Hosted by our MSCS department R preceptor!
  • Quiz 1, PP1, PP2 corrections due Wednesday 10/9 on Moodle
  • Practice Problems #4 (PP4) due Friday 10/11 at 5pm
  • Take a look at project group assignments posted on Moodle.
    • Work on connecting with your team, finding a dataset, and working on Project Checkpoint 1.
    • Wednesday, October 16: Project Checkpoint 1 due (ignore the Friday, October 11 mentioned in the Google Doc description of the project at the top of the project page)

Monday (10/7)

Before class:

  • Review material as needed
  • No checkpoint today!

Wednesday (10/9)

Before class:

  • Complete today’s checkpoint (CP8) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Friday (10/11)

No class today - Leslie will be at a workshop. Feel free to use the classroom to meet with your project groups

Announcements

Monday (10/14)

Before class:

  • Complete today’s checkpoint (CP9) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Wednesday (10/16)

Before class:

  • Review material as needed
  • No checkpoint today!

Friday (10/18)

Fall Break!

Announcements

  • Practice Problems #5 (PP5) due Friday 10/25 at 5pm
  • Start reviewing for Quiz 2 next Friday 11/1. Quiz 2 will be cumulative because our newest ideas build on ideas from Quiz 1, but there will be more of an emphasis on what we have done since covering categorical variables in linear regression models (Activity 8: Intro to Multiple Linear Regression through Activity 17: Multiple Logistic Regression and Evaluation)
  • MSCS & Society Lecture, Wednesday, 4:40-5:40pm, JBD
    • See here for a flyer!

Monday (10/21)

Before class:

  • Complete today’s checkpoint (CP10) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Wednesday (10/23)

Before class:

  • Complete today’s checkpoint (CP11) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Friday (10/25)

Before class:

  • Complete today’s checkpoint (CP12) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Announcements

  • Quiz 2 this Friday 11/1. Covers up through Activity 17 (Multiple Logistic Regression and Evaluation).
  • Practice Problems #6 (PP6) due Friday 11/8 at 5pm

Monday (10/28)

Before class:

  • Complete today’s checkpoint (CP13) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Wednesday (10/30)

Before class:

  • Complete today’s checkpoint (CP14) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Friday (11/1)

Quiz 2 (1 hour in class)

Announcements

Monday (11/4)

Before class:

  • Review material as needed
  • No checkpoint today!

Wednesday (11/6)

No new material today

Friday (11/8)

Before class:

  • Complete today’s checkpoint (CP15) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Announcements

Monday (11/11)

Before class:

  • Review material as needed
  • No checkpoint today!

Wednesday (11/13)

Before class:

  • Complete today’s checkpoint (CP16) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Friday (11/15)

Before class:

  • Review material as needed
  • No checkpoint today!

Announcements

Monday (11/18)

Before class:

  • Review material as needed
  • No checkpoint today!

Wednesday (11/20)

Before class:

  • Complete today’s checkpoint (CP17) on Moodle.
    • See checkpoint description for links to the readings/videos.
    • Due 30 minutes before class today (11:30am).

Friday (11/22)

Before class:

  • Please look in this document to find an assigned reading for today’s class.

Announcements

Monday

Before class:

  • Review material as needed
  • No checkpoint today!

Announcements

  • Final Project Paper due Wednesday, December 11 at 5pm
  • Quiz 3 will be during our final exam period: Monday, 12/16 8:00-10:00am in our normal classroom (THEATR 204)
    • Written to take ~75 minutes but you have the whole 2 hour time period
    • Same format as previous quizzes:
      • You don’t need to write R code but output from R code will be provided.
      • You can bring one 3x5 inch notecard with handwritten or typed notes on both sides.
    • Content covered spans the full semester
  • On Friday, 12/6 we will be doing end-of-course surveys in class.
Week 15: 12/9 - 12/13 (Project work, paper, and presentations)

Announcements

  • Final Project Paper due Wednesday, December 11 at 5pm
  • Optional: Turn in Single PP correction by Sunday, December 15 at 8am
  • Quiz 3 will be during our final exam period: Monday, 12/16 8:00-10:00am in our normal classroom (THEATR 204)
    • Written to take ~75 minutes but you have the whole 2 hour time period
    • Same format as previous quizzes:
      • You don’t need to write R code but output from R code will be provided.
      • You can bring one 3x5 inch notecard with handwritten or typed notes on both sides.
    • Content covered spans the full semester

Monday

Class time will be for review and project work

Wednesday

Last day of class

Before class:

  • Prepare one slide with your research question, 1 visualization, and 2 key findings from your project
  • We will have a digital poster session in class