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)
Lecturer
dr. M. Blokpoel
Other course modules lecturer
Contactperson for the course
dr. G. Mecacci
Other course modules lecturer
Coordinator
dr. G. Mecacci
Other course modules lecturer
Examiner
dr. G. Mecacci
Other course modules lecturer
Academic year2020
Period
JAAR  (01/09/2020 to 27/08/2021)
Starting block
JAAR
Course mode
full-time
Remark
Please note: if you do not yet have a master's registration, you are not yet registered for the tests for this course.
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Content

During the internship the student acquires Artificial Intelligence relevant skills. In many occasions 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 anlaysis techniques (e.g. fMRI experiments), working in a company to learning 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 brightspace. If you have questions you can contact the AI thesis and internship coordinator or student advisor. For more information about the procedures and options for doing your internship abroad you can contact the internationalisation coordinator internationalofficer@ai.ru.nl.

Level
AI-MA
Presumed foreknowledge
  • Having obtained at least 48 EC within the MSc AI;
  • Permission from the Specialization Leader, based on a handed-in research proposal;
  • if applicable: discussed internship contracts at external organization with the thesis coordinator;
  • Registration for the course in Osiris.
  • Test information
    Your internship report and your internship performance are evaluated according to the relevant rubrics in the 'Master thesis & Internship Rules & Regulations'.
    Specifics
    More information can be obtained from the master thesis and internship coordinator or the student advisor.
    Instructional modes
    Internship

    Remark
    Regular meetings with your daily supervisor(s).

    Tests
    Internship
    Test weight1
    Test typeInternship report
    OpportunitiesBlock JAAR, Block JAAR