MADA – Spring 2026 – Schedule
This is the current course schedule for the class. Things might change, so check regularly for updates.
The graded assessments for the course consist of quizzes, exercises, discussions and a project. Those are described in more detail on the Assessments page and in the assessment document for each module.
Unless otherwise specified, the first posting of the discussion is due by end of Wednesday, the discussion replies are due by Friday 5pm. Quizzes and Projects are due by Friday 5pm. Exercises often have multiple parts with staggered deadlines. See each exercise for details.
| Module Topic | Start and end dates | Quiz | Exercise | Discussion | Project |
|---|---|---|---|---|---|
| Module 1 – Course and tools introduction | 1/12 – 1/16 | Y | Portfolio start | Introductions | |
| Module 2 – Data analysis introduction | 1/19 – 1/23 | Y | Starter analysis (group work) | Reproducible research example | |
| Module 3 – READy workflows | 1/26 – 1/30 | Y | Data analysis and coding (group work) | Module Reflection | |
| Module 4 – Data introduction & Synthetic data | 2/2 – 2/6 | Y | Complex or Synthetic data (solo work) | None | Part 1 due |
| Module 5 – Data processing | 2/9 – 2/13 | Y | Data wrangling (group work) | AI tools | |
| Module 6 – Presenting data | 2/16 – 2/20 | Y | Figures and Tables (solo work) | Exercise feedback | |
| Module 7 – Statistical analysis overview | 2/23 – 2/27 | Y | None | Scientific Paper Evaluation | Part 2 due |
| Module 8 – Model fitting | 3/2 – 3/6 | Y | Model fitting (solo work) | Module Reflection | |
| Spring Break | 3/9 – 3/13 | ||||
| Module 9 – Model assessment | 3/16 – 3/20 | Y | None | Module Reflection | Part 3 due |
| Module 10 – Model improvement | 3/23 – 3/27 | Y | Model performance and predictions (group work) | None | Project reviews due |
| Module 11 – Machine learning models I | 3/30 – 4/3 | Y | Machine Learning Models (solo work) | Projects | |
| Module 12 – Machine learning models II | 4/6 – 4/10 | Y | None | Machine Learning methods | Part 4 due |
| Module 13 – The complete analysis workflow | 4/13 – 4/17 | Y | Tidytuesday analysis (solo work) | Course feedback | |
| Finishing Project | 4/20 – 4/24 | N | None | None | Part 5 due |
| Project Reviews | 4/27 – 5/1 | N | None | None | Project reviews due |
| Final project revision | 5/4 – 5/6 (Wednesday) | N | None | None | Part 6 due |
Note: Withdrawal deadline is April 9.