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Course module: 202200251
202200251
Capita Selecta DST
Course info
Course module202200251
Credits (ECTS)2 - 10
Course typeCourse
Language of instructionEnglish
Contact persondr.ir. M. van Keulen
E-mailm.vankeulen@utwente.nl
Lecturer(s)
PreviousNext 5
Lecturer
dr. F. Ahmed
Lecturer
dr.ir. N. Alachiotis
Lecturer
dr. S. Bayhan
Lecturer
prof.dr.ir. M.J.G. Bekooij
Lecturer
prof.dr. J.L. van den Berg
Academic year2022
Starting block
JAAR
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Aims
Obtain in-depth knowledge of a special topic in the area of Data Science and Technology.
Content
This course enables a student to study an advanced topic in the area of Data Science and Technology. This advanced topic may be something not taught in a regular course but needed for performing a Final Project or that a student is just interested in this topic. It could also be a research project on a specific advanced topic. The course is not scheduled in the timetable of the programme, since it will be adapted to the students’ needs. Students are expected to show a high degree of independence and initiative in following this course. If a student is interested in doing this course but does not have a teacher yet, (s)he can contact the coordinator for finding a suitable teacher. Once a student has found a teacher for this course, student and teacher should reach an agreement about:
  • the topic to be studied
  • the learning goals
  • the course materials (e.g. papers, books)
  • the learning activities (e.g. self-study, assignments, projects, presentations)
  • a time schedule for the activities
  • the assessment procedure and criteria.
This course can be taken individually, but it is also possible to follow this course as a group. Student and teacher should inform the programme mentor(s) of the Data Science and Technology specialisation.
 
Prerequisites
Students are expected to have a bachelor's degree and to have basic knowledge about the topic to be studied. Otherwise, there are no specific prior knowledge requirements for this course. However, research skills like methodically searching for literature, critical reading, design and execution of experiments, and oral and written communication about research, are highly important to finish the course in time, and students who lack these skills will need extra time to acquire them during the course. 

Procedure
A proposal as described above that both student and teacher agree on, should be approved by one of the programme mentors of the Data Science & Technology specialization (DST) of the master Computer Science.
Participating study
Master Computer Science
Required materials
-
Recommended materials
Course material
Scientific publications related to research topic
Instructional modes
Self study without assistance

Tests
Assignment 2 EC

Assignment 3 EC

Assignment 5 EC

Assignment 8 EC

Assignment 10 EC

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Kies de Nederlandse taal