SOW-MKI71
AI Research Colloquium
Course infoSchedule
Course moduleSOW-MKI71
Credits (ECTS)3
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Examiner
dr. J.H.P. Kwisthout
Other course modules lecturer
Lecturer
dr. M. Shahsavari
Other course modules lecturer
Contactperson for the course
dr. M. Shahsavari
Other course modules lecturer
Coordinator
dr. M. Shahsavari
Other course modules lecturer
Academic year2021
Period
PER4  (11/04/2022 to 15/07/2022)
Starting block
PER4
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
This course aims to familiarize the student with latest research in the domain of (cognitive) AI in order to promote a critical reflection on current issues and promising future directions.
 
At the end of the course,
 
  • you will have acquired a thorough overview of today‚Äôs research programs in the space of cognitive AI.
  • you will have a clear idea of the ongoing research at the DCC AI institute, helping you decide on a thesis area and topic.
  • you will be able to dive into a new domain of AI, think constructively therein and write/review short commentary pieces.
Content
A number of current and emerging research themes from the field of cognitive AI will be introduced in the form of general overview presentations by domain experts, and through the study of specific research papers. The themes will be diverse, each theme covered by a AI-lecturer who is a specialist in the corresponding field. Whenever possible, opposite or complementary views on the topic will be presented, and discussed by the students in written form. Written reflections on the topics presented will undergo peer-review by the other students.
Level
AI-MA
Test information
Type of test (individual essay):
  • Six possibilities for written and graded essays (individual assignment). The average grade of the five best essays determines the final grade of the course.

Possibility to resit:
  • Students are advised to write the first five essay options to use the 6th essay in the final week of the course as a possibility for a resit.

Minimum grade of each type:

No minimum grade applied, best 5 out of 6 essays are averaged for the final grade.

Grading for each part is registered in Brightspace, only the final grade is published in Osiris.
Specifics

Instructional modes
Lecture
Attendance MandatoryYes

Tests
Written assignments
Test weight1
Test typeAssignment
OpportunitiesBlock PER4, Block PER4