Course schedule
Monday (Nov. 25th 2019)
| Time | Module | Instructor |
|---|---|---|
| 8.30-9.00 | BREAKFAST (served in the classroom) | |
| 9.00-9.15 | Introduction to the course | |
| 9:15-12:00 | An introduction to Python and Data Science pt. 1 | Tobias L. Jensen & Thomas Arildsen |
| 12:00-13:00 | LUNCH (served in the classroom) | |
| 13:00-16:00 | An introduction to Python and Data Science pt. 2 | Tobias L. Jensen & Thomas Arildsen |
Tuesday (Nov. 26th 2019)
| Time | Module | Instructor |
|---|---|---|
| 8.30-9.00 | BREAKFAST (served in the classroom) | |
| 9:00-10:30 | Introduction to Exploratory Data Analysis and Unsupervised Machine Learning | Daniel S. Hain (+ T&T) |
| 10:30-12:00 | Finding Patterns in Messy Data Using Clustering | Rolf L. Lund (+ T&T) |
| 12:00-13:00 | LUNCH (served in the classroom) | |
| 13:00-14:00 | Introduction to Supervised Machine Learning | Daniel S. Hain |
| 14:00-16:00 | Prediction and Classification (and how to use it in your research) | Roman Jurowetzki (+ T&T) |
| 16:00-17:00 | Portfolio: Applying unsupervised and supervised machine learning algorithms | Daniel S. Hain, Roman Jurowetzki & Rolf L. Lund (+ T&T) |
Wednesday (Nov. 27th 2019)
| Time | Module | Instructor |
|---|---|---|
| 8.30-9.00 | BREAKFAST (served in the classroom) | |
| 9:00-11:00 | Introduction to Network Analysis | Daniel S. Hain |
| 11:00-12:00 | Exercises with Network Analysis and Visualizations | Daniel S. Hain (+ T&T) |
| 12:00-13:00 | LUNCH (served in the classroom) | |
| 13:00-16:00 | Introduction to Blockmodeling | Carl Nordlund (+T&T) |
| 16:00-17:00 | Portfolio: Applying network analysis | Daniel S. Hain & Carl Nordlund (+ T&T) |
Thursday (Nov. 28th 2019)
| Time | Module | Instructor |
|---|---|---|
| 8.30-9.00 | BREAKFAST (served in the classroom) | |
| 9:00-10:00 | NLP: Text as Data | Roman Jurowetzki (+ T&T) |
| 10:00-12:00 | NLP: Text for Exploratory Data Analysis | Roman Jurowetzki (+ T&T) |
| 12:00-13:00 | LUNCH (served in the classroom) | |
| 13:00-14:00 | NLP: Using Text in Machine Learning Pipelines | Roman Jurowetzki (+ T&T) |
| 16:00-17:00 | Portfolio: Applying NLP techniques | Roman Jurowetzki (+ T&T) |
Friday (Nov. 29th 2019)
| Time | Module | Instructor |
|---|---|---|
| 8.30-9.00 | BREAKFAST (served in the classroom) | |
| 9:00-11:00 | Data from the Web | Rolf L. Lund & Roman Jurowetzki (+ T&T) |
| 11:00-12:00 | Deep Learning and XAI (lecture) | Thomas B. Moeslund |
| 12:00-13:00 | LUNCH (served in the classroom) | |
| 13:00-14:00 | Methodological Outlook: Satellite images and deep learning | Rolf L. Lund |
| 14:00-15:00 | Explainability in Machine Learning | Daniel S. Hain & Roman Jurowetzki |