Felix Weitkämper is professor at the German University of Digital Science, contributing to the research and education on statistical and symbolic approaches to artificial intelligence. He studied Mathematics with Philosophy at the LMU in Munich and earned his DPhil in Mathematics (Logic) at the University of Oxford. Having spent a year with the educational charity Researchers in Schools in a vocational setting in the North of England, Felix Weitkämper joined the programming languages and AI group at the LMU as a postdoctoral researcher in 2020. He moved to the German University of Digital Science as a senior researcher in October 2024, before taking up his current position in April 2025. Felix Weitkämper's research focuses on interpretable, human-centered AI, combining statistical learning with logical reasoning.
This module is part of the “Rootcamp” which onboards students to the program, the teaching and learning methods. It teaches the principles, techniques and processes of Design Thinking, a user-centric approach to generating innovations.
Decision-making is empowered by (big) data through the use of machine learning and data analytics principles.
This course introduces students to software development using Python. It covers basic coding, object-oriented programming, Django, and key practices like agile methods, version control, and clean code.
This module is an introduction to logic and symbolic AI. We introduce the principles of computational logic and the fundamentals of the logic programming paradigm as exemplified by the Prolog language.
Professor
Head of Research Group "Statistical and Symbolic Artificial Intelligence"
Statistical and Symbolic Artificial Intelligence
