The course consists of two phases: a block seminar (1-3 June 2023) and a group project phase (final submission: 15th September 2023).
Intensive Course:
- Day 1: Background on neural networks and manual implementation in Python
- Day 2: Adaptation of deep learning for political science research using Python libraries
- Day 3: Introduction to Natural Language Processing and adaptation in Python
Group Project:
Students will work together on projects of their own choosing building either an own neural network or fine-tuning a pre-existing one. There will be both monthly discussions on the individual projects as well as insights on important challenges of every working stage.