Kies de Nederlandse taal
Course module: 202100219
Case Studies in DS&AI
Course infoSchedule
Course module202100219
Credits (ECTS)2
Course typeCourse
Language of instructionEnglish
Contact J. Goseling
Contactperson for the course J. Goseling
Examiner J. Goseling
Lecturer J. Goseling
Academic year2021
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
After successfully completing a case study, the student is able to:
  • Apply mathematical theory of AI to solve a real-world health-related problem.
  • Acquire new skills in the domain of AI4Health independently. 
  • Report results in a clear and structured way.
The aim of a case study is to apply the theoretical knowledge that is obtained in courses to a concrete real-world problem. Within this course, various case studies are available. Since case studies connect to
timely real-world problems, the availability of cases is changing over time. An up-to-date list of available cases is available at WEBSITE. 

The first part of a case study is to independently study and get acquainted with the application domain. In addition, for some cases it may be required to learn a small part of new theory that is not covered in a
course (for instance, discrete event simulation) and/or to acquire a new skill (programming in a specific language or framework, handling large datasets, …).
The second part of the case study is to solve a problem using a data set that is provided to the student. The result is, for instance, an in-depth data analysis or an algorithm with implementation and
performance analysis.

The entry requirements are different per case study. At WEBSITE these are specified.
The study load for a case study is 2EC. Some cases will require a double load of 4 EC, because they rely
on a larger part of self-study.

Participating study
Master Applied Mathematics
Required materials
Recommended materials
Instructional modes
Presence dutyYes

Healthcare Logistics

Kies de Nederlandse taal