Target Audience:
Anyone with experience in either sports and a strong interest in Machine Learning or experience in Machine Learning and a strong interest in sports. PhD students, researchers and professionals working at the intersections of both fields are encouraged to apply. The participants need to know the basics of Python before the course or to be willing to learn before the beginning of the course. 

Location:
The city campus of the University of Antwerp

Application Deadline:
15th of June. Applications are accepted on a rolling basis with the criteria of diversity in mind (background, sports and geography). We encourage you to apply as soon as possible as places are limited.

Organised by:
IDLab (UAntwerp, UGhent and imec)

Study credits (ECTS)

3 ECTS credits can be awarded upon successful completion of the programme. All certificates of completion are issued as a micro-credential. 

To include the credits in the curriculum at the home institution, participants need an agreement with the responsible person at their university.

A certificate will be awarded at the end of the programme. In order to receive a certificate of completion, it is necessary that the participants complete an individual assignment after the course. 

Organisers

The course is organized by IDLab, a collaboration between the University of Antwerp, University of Ghent and imec.

IDLab performs fundamental and applied research on internet technologies and data science. We focus on wireless networking and distributed intelligence. Within sports, our sports data science team builds Artificial Intelligence solutions for better athlete performance. From monitoring your athlete performance, predicting how he/she will perform and suggesting how he/she can improve. 

This course is organised by: Leonid Kholkine, Arie-Willem de Leeuw, Prof. Tim Verdonck, Prof. Steven Verstockt and Prof. Steven Latré.