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Kies de Nederlandse taal
Course module: 202100110
202100110
Case Studies in DS&AI 1
Course info
Course module202100110
Credits (ECTS)2
Course typeCourse
Language of instructionEnglish
Contact persondr.ir. J. Goseling
E-mailj.goseling@utwente.nl
Lecturer(s)
Examiner
dr.ir. J. Goseling
Contactperson for the course
dr.ir. J. Goseling
Academic year2022
Starting block
JAAR
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Aims
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.
Content
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
Assignment
Presence dutyYes

Tests
Healthcare Logistics

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