Modul
Research Practical Course: Interactive Learning [M-INFO-106300]
Credits
6Recurrence
Jedes SommersemesterDuration
1 SemesterLanguage
EnglishLevel
4Version
2Responsible
Organisation
- KIT-Fakultät für Informatik
Part of
Bricks
Identifier | Name | LP |
---|---|---|
T-INFO-112772 | Research Practical Course: Interactive Learning | 6 |
Competence Certificate
See Partial achivements (Teilleistung).
Competence Goal
Die Studenten lernen komplexe wissenschaftliche Themengebiete zu verstehen, zu hinterfragen und veröffentlichte
Resultate zu reproduzieren und zu überprüfen. Die Studenten erlangen ein vertieftes Wissen im Bereich des Interaktive Lernens und Erfahrung mit dem Einsatz von neuartigen Lernverfahren.
Prerequisites
See Partial achivements (Teilleistung).
Content
Each student will select a topic in the field of Interactive Learning and/or Explainable Artificial Intelligence. The organizers will suggest topics but the students are welcome suggest relevant topics. The students will then implement and evaluate several algorithms corresponding to the chosen topic. The experimental evaluation will be documented in a report and presented to their peers.
It is highly recommended to take this research project in combination with the “Interactive Learning” Seminar, where the students get the chance to acquire the required background on the literature.
Recommendation
We highly recommend to take this research project in combination with the “Interactive Learning” seminar.
It is highly recommended to attend the “Explainable Artificial Intelligence” lecture in parallel or prior to this project.
• Experience in Machine Learning is recommended, e.g. through prior coursework.
◦ The Computer Science Department offers several great lectures e.g., “Maschinelles Lernen - Grundlagen und Algorithmen” and “Deep Learning ”
• A good mathematical background will be beneficial
• Python experience is recommended
• We might use the PyTorch deep learning library In the exercises. Some prior knowledge in this is helpful but not necessary.
Workload
Arbeitsaufwand = 180h = 6 ECTS
• Präsenzzeit: 15h
• Projektarbeit: 135h
• Scientific Report schreiben + Päsentation vorbereiten: 30h