This programme is tailored for humanities researchers interested in integrating computational methods into their research. Priority is given to scholars
from the Faculty of Arts, particularly those in permanent or tenure-track positions, to facilitate the development of research proposals and successful
grant applications through our structured mentorship programme.
We welcome researchers from all humanities disciplines, including Early Career Researchers from other faculties, who have a keen interest in
computational humanities methodologies. Please note that this programme does not offer PhD course credits.
| Topic | Time | Lesson Instructor |
|---|---|---|
| 1. Linking Research Interests with Quantitative Methods | 11 June 2025 | 10.00-14.00 | Kristoffer Nielbo |
| 2. Handling Large Datasets and Data Wrangling | 20 August 2025 | 10.00-14.00 | Per Møldrup-Dalum & Peter Vahlstrup |
| 3. Scientific Programming | 10 September + 24 September 2025 | 10.00-14.00 | Stephan Smuts |
| 4. Probability Theory and Statistics | 8 October + 22 October 2025 | 10.00-14.00 | Alex Doe |
| 5. Introduction to Machine Learning | 5 November + 19 November 2025 | 10.00-14.00 | Alex Doe |
| 6. Publishing Quantitative and Computational Research | 3 December 2025 | 10.00-14.00 | Alex Doe |
| 7. Project Development and Design | 17 December 2025 | 10.00-14.00 | Alex Doe |