Arbeitsaufwand = 180h = 6 ECTS

·   Präsenzzeit: 15h

·   Projektarbeit: 135h

·   Scientific Report schreiben + Päsentation vorbereiten: 30h

·   Englisch

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.

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.

Vortrag zum gewählten Thema am Ende des Semesters und schriftliche Ausarbeitung.

Ein Rücktritt ist innerhalb von zwei Wochen nach Vergabe des Themas möglich.

It is only possible to resign within two weeks after assignment of the topic

KIT-Fakultät für Informatik/1. Informatik Lehrveranstaltungen/1.8 Praktika