MachineLearnAthon - Developing Machine Learning Competencies for Interdisciplinary Teams at Universities

The MachineLearnAthon project aims to develop increasingly relevant machine learning (ML) competencies and skills among students from various study programs. To this end, we propose a new teaching...

The MachineLearnAthon project aims to develop increasingly relevant machine learning (ML) competencies and skills among students from various study programs. To this end, we propose a new teaching concept complementing ML challenges with micro-lectures. Our innovative concept promotes motivation and action-oriented learning through project-based tasks and gamification elements. In addition, the students acquire competencies required for cooperation in interdisciplinary and international teams.

- DIDACTIC CONCEPT: Develop and improve the didactic concept of MachineLearnArthon. - CHALLENGES: Develop and publish real-world MachineLearnAthon use cases with industry partners. - MATERIAL: Develop and publish additional learning material to make ML challenges accessible to students with no prior ML knowledge. - EVALUATION: Run and evaluate MachineLearnAthons at all partner universities. - WHITE PAPER: Disseminate the concept and the evaluation results through white papers.