SOW-MKI83
Internship
Course infoSchedule
Course moduleSOW-MKI83
Credits (ECTS)15
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Contactperson for the course
L.E.C. Jacques
Other course modules lecturer
Coordinator
prof. dr. ir. J.H.P. Kwisthout
Other course modules lecturer
Examiner
prof. dr. ir. J.H.P. Kwisthout
Other course modules lecturer
Academic year2017
Period
JAAR  (04/09/2017 to 31/08/2018)
Starting block
JAAR
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Content
During the internship, the student acquires (practical) Artificial Intelligence relevant Skills. Often, these skills are directly relevant for the Research Project (MKI92), but this is not required. Examples of internship projects are: working in a research lab assisting with an ongoing project to learn skills on experimental or analysis techniques (e.g. fMRI experiments), working in a company to learn skills about how to turn an idea into a sellable product or to learn how current AI techniques are applied in real business contexts. 

The internship can be done within the AI department, other academic departments at the Radboud University or a different university, or a company or non-academic institute. It is also an option to go abroad to perform one's internship.

More information about the procedures, project options, possible supervisors, evaluation criteria, etc. for the Master Internship are available on the Blackboard Organisation "BA/MA thesis Kunstmatige Intelligentie" (self enrollment is possible; if you have questions you can contact the master thesis coordinator via j.kwisthout@donders.ru.nl. For more information about the procedures and options for doing your internship abroad, you can contact the internationalisation coordinator internationalofficer@ai.ru.nl. 
Additional comments
Supervisor: to be determined.

Levels
AI-MA

Prerequisites
• Having obtained at least 48 EC within the MSc AI;
• Permission from the Specialisation Leader, based on a handed-in research proposal;
• Registration for the course in Osiris.

Contact information
Dr. ir. J.Kwisthout; j.kwisthout@donders.ru.nl

Instructional modes
Internship

General
Process evaluation

Tests
Internship
Test weight1
OpportunitiesBlock JAAR