How to Model and Solve Challenges for Future Mobility Applications?
Funding Period: 01.04.2022 – 30.09.2022
Head: Dr. Martin Aleksandrov; Institutional affiliation: Prof. Dr. Christoph Benzmüller, Dahlem Center for Machine Learning and Robotics Institute for Computer Science, Freie Universität Berlin
The project aims at tackling state-of-the-art modeling and algorithmic challenges for Future Mobility Applications (FMAs). It does so by combining concepts from three disciplines: Vehicle Routing Problem, Computational Social Choice, and Ethics. During the course, the students will get to know methods from these areas. Thus, they will develop, design, and implement algorithms, as well as run experiments. At the end of the course, the students will submit a scientific report, write a scientific review, give a talk, and prepare a poster with their results.
The project is designed for master students, and advanced bachelor students from the university programs in computer science, mathematics, economics, computer engineering, logic, statistics, and philosophy at Freie Universität Berlin, Technische Universität Berlin, Humboldt-Universität zu Berlin, and Charité (i.e. the BUA). Prior language knowledge is English. Prior skills in mathematics, complexity, statistics, OR ethics. Good programming skills (C++, Java, Python) are advantageous. The first meeting will be via Zoom.
Course language: English
Schedule: Mondays, 10-12 a.m.