Course repository for the 2026 edition. Slides, scripts, exercises and datasets for each teaching day live in the directories described below.
Room 07-1-46
CSS, Oester Farimagsgade 5
directions
Martin Sikora
martin.sikora@sund.ku.dk
Thorfinn Sand Korneliussen
tskorneliussen@sund.ku.dk
Bryant Chambers
bryant.a.chambers@sund.ku.dk
Laurits Skov
laurits.skov@sund.ku.dk
Guillermo Rangel
guillermo.pineros@sund.ku.dk
Two teaching weeks, Monday to Wednesday, Friday. Daily structure:
| Time | Activity |
|---|---|
| 9:00-11:30 | Lecture / demo |
| 11:30-12:30 | Lunch break |
| 12:30-16:00 | Computational exercises |
Day 1 - Monday, September 7
Introduction, bash and R
Thorfinn Sand Korneliussen / Martin Sikora
Day 2 - Tuesday, September 8
Data visualization and data wrangling
Martin Sikora
Day 3 - Wednesday, September 9
Probability theory
Laurits Skov
Day 4 - Friday, September 11
Linear models
Laurits Skov
Day 5 - Monday, September 14
Workflows and reproducible research 1
Bryant Chambers / Guillermo Rangel
Day 6 - Tuesday, September 15
Workflows and reproducible research 2
Bryant Chambers / Guillermo Rangel
Day 7 - Wednesday, September 16
Exploratory data analysis 1
Martin Sikora
Day 8 - Thursday, September 17
Exploratory data analysis 2
Martin Sikora
| Directory | Contents |
|---|---|
data/ |
Datasets used in lectures and exercises |
scripts/ |
R scripts, R Markdown and notebooks for the demos |
exercises/ |
Exercise sheets and solutions |
slides/ |
Lecture slides (PDF) |
resources/ |
Cheat sheets and reference documents |
workspaces/ |
Cloud workspace templates (Terraform / Docker) |
img/ |
Figures produced by the course material |
- Wilke - Fundamentals of Data Visualization
- Wickham & Grolemund - R for Data Science