Schedule

Spring 2027 · Monday and Wednesday, 12:45–2:00 PM · PV A203

Use the Schedule menu to jump directly to any week. Each weekly guide names the chapters to read, what to look for in them, the exercises from the book you work on, the session activities, and what is due. Every graded item in the table below links to the details of what to submit.

This 3-credit course plans no more than 6 clock hours outside class per teaching week. Each guide divides that time among reading and discussion preparation, exercises and project work, and writing or reflection. Workload and scope guidance →

The semester follows the book

The required text pairs each theory chapter with an exercise chapter. We read the theory chapter and discuss a published study, work through the exercise chapter on your own corpus, review the work in class, and then you submit it as a milestone. The practice guide explains the discussions and the reviews.

Weeks Design stage Chapters What you build Milestone
1–2 Project setup and direction 1–2; opening of 11 Project workspace and direction memo Milestone 1 · Week 3 · January 27
3–5 Data management 3–4 Documented corpus, entity relationship diagram, codebook, and workflow Milestone 2 · Week 6 · February 17
6–8 Concept representation 5–6 Dictionary and prompt-based coding, with a validity and reliability audit Milestone 3 · Week 9 · March 10
9, 11–12 Data analysis 7–8 A network or predictive analysis, its interpretation, and an AI-assisted validity statement Milestone 4 · Week 13 · April 7
13–15 Scientific communication 9–10; 11 in full Frozen environment, documentation package, integrative artifact, and ethics review Milestone 5 · Start of P539’s assigned final session · May 3–7
16; finals Synthesis and demonstration 12 Final presentation and final reflection Milestone 6 · P539’s assigned final session · May 3–7

Ethics runs through every stage. You read the opening of Chapter 11 while scoping your corpus in Week 2, and the whole chapter in Week 14, when you review your own pipeline. Week 16 is for synthesis and rehearsal and introduces no new method.

No class on January 18 or during March 14–21. The last regular meeting is April 28. These dates follow the official Spring 2027 calendar.

Weekly topics, readings, and what is due. Graded items link to their deliverables.
Week Meetings Topic and reading Due and reviews
Project setup and direction
Week 1 Mon, Jan 11Wed, Jan 13 A question worth investigatingChapters 1–2; the four stages of research design, and rules, memory, and knowledge No graded submission
Week 2 Mon, Jan 18 · No classWed, Jan 20 Rules, memory, and knowledgeChapter 2 again, and Chapter 11's opening section on privacy as contextual integrity No graded submission
Data management
Week 3 Mon, Jan 25Wed, Jan 27 Data management: source, structure, standardizationChapter 3; data as relational and process Due Jan 27: Milestone 1: Project setup and direction (5 points)
Week 4 Mon, Feb 1Wed, Feb 3 Data management: gathering your corpusChapter 4; gathering literature in your field No graded submission
Week 5 Mon, Feb 8Wed, Feb 10 Data management: quality, workflow, and reviewRevisit Chapters 3–4; no new chapter Exercise review 1 on Feb 10, ungraded, for Milestone 2
Concept representation
Week 6 Mon, Feb 15Wed, Feb 17 Concept representation: from concepts to measuresChapter 5; from concepts to measures Due Feb 17: Milestone 2: Data management (15 points)Due Feb 17: Reflection 1: data and setup (5 points)
Week 7 Mon, Feb 22Wed, Feb 24 Concept representation: automated codingChapter 6; automated coding No graded submission
Week 8 Mon, Mar 1Wed, Mar 3 Concept representation: validity audit and reviewRevisit Chapters 5–6; the validity and reliability audit Exercise review 2 on Mar 3, ungraded, for Milestone 3
Data analysis
Week 9 Mon, Mar 8Wed, Mar 10 Data analysis: capacities, challenges, and purposesChapter 7; computational analysis and epistemic purposes Due Mar 10: Milestone 3: Concept representation (20 points)Due Mar 10: Reflection 2: measurement (5 points)
Week 10 Mon, Mar 15 · No classWed, Mar 17 · No class Spring breakNo assigned preparation No submissions.
Week 11 Mon, Mar 22Wed, Mar 24 Data analysis: networksChapter 8; networks, and the purposes they can serve No graded submission
Week 12 Mon, Mar 29Wed, Mar 31 Data analysis: prediction, opacity, and reviewChapter 8; prediction, interpretation, and the validity of AI-assisted analysis Exercise review 3 on Mar 31, ungraded, for Milestone 4
Scientific communication
Week 13 Mon, Apr 5Wed, Apr 7 Scientific communication: inspectable, reproducible, interpretableChapter 9; communicating research Due Apr 7: Milestone 4: Data analysis (15 points)
Week 14 Mon, Apr 12Wed, Apr 14 Scientific communication: the artifact, uncertainty, and ethicsChapters 10 and 11; communicating your pipeline, and ethics as embedded practice No graded submission
Week 15 Mon, Apr 19Wed, Apr 21 Scientific communication: documentation and reproductionRevisit Chapters 9–10 and Chapter 2; documenting an AI-assisted workflow Exercise review 4 on Apr 21, ungraded, for Milestone 5
Synthesis and demonstration
Week 16 Mon, Apr 26Wed, Apr 28 Synthesis and final demonstrationChapter 12; conclusion Last regular meetings.
Finals period
Finals May 3–7P539’s assigned final session Final presentationsNo new reading Due at the session: Milestone 5: Scientific communication (15 points)Due at the session: Milestone 6: Final presentation (10 points) Due at the session: Final reflection: the whole pipeline (10 points)

Finals period: May 3–7

Outside class: 360 minutes (6 clock hours) maximum planned work per student. These allocations include all required preparation and submissions; they are planning estimates, not time logs for grading.

Work Planned minutes
Reading and discussion preparation 0
Exercises and project work, including troubleshooting 120
Writing, documentation, and reflection 240
Total 360

Use the final week for checked corrections, packaging, the final reflection, and rehearsal. No new method, data collection, or expanded scope is assigned. The scheduled presentation is class time, outside this preparation budget.

How the weekly cap works. If required work will exceed the budget, save your attempt and contact the instructor to adjust scope or arrange support.

Present your project during P539’s university-assigned final session. Submit Milestone 5, the slides or link for Milestone 6, and your final reflection in Canvas by the start of that session. Use the final-session entry in Canvas and the Registrar’s Spring 2027 final examination schedule for the assigned date and time. Late passes do not extend the final deadlines; make-up arrangements cover qualifying conflicts or disruptions.

See Assignments for every deliverable and Your project for how the pieces fit together.