Schedule

This page contains an outline of the topics, content, and activities for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and activities might be updated throughout the semester.

Activities are generally due the Friday of the same week it is posted.

Last updated: November 02, 2026 at 09:53 AM

Date Topic Prepare Materials Activities Homework
8/24 Introductory Material Hello World (Submit to google drive by end of class)
8/31 Qualitative Data and Analytic Tools Complete, render and submit code along 01 as PDF to google drive by Friday 9/4 [HW01] Working with data in R [QMD] (Due F 9/11)
[Solutions]
9/7 Data Exploration (Async) Complete, render submit codealong 02 as PDF to google drive by Friday 9/11 HW 02 (Due F 9/18)
9/14 Fundamentals of Data Management Practice knowledge check (in class. Hand written notes only. No page limit) HW03: Working with text data (Due Fri 9/25)
[Solutions]
9/21 Analytic Process, Part 1
  • Read McLeod - Open Coding in Qual Research
  • Read TTM Ch 2 - Intro through 2.2 only
  • Install package sentiment libraries. (See Wk 5 overview for details)
  • Copy 04 codealong to your home folder
  • Prepare a set of written notes for today's knowledge check
Knowledge check on week 1-4 content HW04: Submit hard copies of coding documents. Due M 10/5 start of class.
9/28 Analytic Process, Part 2

10/5 Analytic Process, Part 3 Report on key research question and specify the data set(s) needed for analysis. HW 05: Concept Maps & Analytical Memos (Due M 10/19)
Code along 05 (Due F 10/9)
10/12 Analytic Process, Part 4
  • Read TTM Chapter 6.1 (intro)
High level draft of #4 & #5 in project proposal
Code along 6
HW 06 - Topic Modeling (Due F 10/23)
Code along 06 (Due F 10/16)
10/19 Inter-rater Reliability Prepare your sheet of notes for the knowledge check Knowledge check on week 5-8 content
Group work time
Interrater reliability activity

10/26 Discovering Topics, Team building LDA Homework and notes The great library heist
The case file
The Key
Project Proposal Due F 10/30
11/2 Data privacy, public scholarship Data available in Jupyterhub Importance of public scholarship
Data privacy & Protections
Improving your methods section
Monday 11/2: Read data into your RStudio environment
Tuesday 11/3: Specific logisics plan for managing ethnographic tasks
Friday 11/6: Midterm Peer Evaluation
Mon 11/16: Week 13 prep reading
11/9 Reassess your Research Priorities, Prepare for the presentation Presentation template

11/16 Creating Recommendations; Leveraging AI/LLM to assist in Qual Research; Presentation Preparation Week 13 overview Knowledge check on week 9-12 content
11/30 Practice presentations Practice Presentations with feedback
12/7 Culminating Project Actual Presentations

Additional weeks will be displayed on a rolling basis.