AI in the Professional Workfield
Course infoSchedule
Course moduleSOW-MKI76
Credits (ECTS)3
CategoryMA (Master)
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
dr. S. Ahmadi
Other course modules lecturer
dr. S. Ahmadi
Other course modules lecturer
Contactperson for the course
dr. S. Ahmadi
Other course modules lecturer
prof. dr. ir. P.W.M. Desain
Other course modules lecturer
Academic year2021
PER4  (11/04/2022 to 15/07/2022)
Starting block
Course mode
Registration using OSIRISYes
Course open to students from other facultiesNo
Waiting listNo
Placement procedure-
Upon successful completion of the course, the student:
  • Have gained a view of how to bridge between graduation and a successful career.
  • Have a better insight into their own talents, values​​, and motivations.
  • Can translate their talents and skills to the work context.
  • Know about intellectual property and how it is arranged in various collaboration themes.
  • Have improved on their personal leadership and resilience.
  • Have learned how to organize, monitor and improve relationships with stakeholders.
AI in the professional work field is a 3-EC course which will be roughly divided between 1-EC workshops and 2-EC project. There will be half day workshops in the first 2-3 weeks of the course and the rest of the time will be spent (potentially on the work field) on a group project.
  1. Workshops on:
  • Communication and presentation
  • Self-knowledge
  • Stakeholder management
  • Personal leadership
  • Intellectual property (IP)
  • (Integrity)
  1. Group project (for an external customer, potentially in forms of visit at work place or a challenge).
Presumed foreknowledge
Advised: SOW-MKI66  Advanced academic and professional skills (or equivalent).
Test information
There is no final exam for this course. The final grade is defined based on the activities and assignments throughout the course as follows: 
20%: Active participation (attending workshops, workshop assignments, take-home messages) (individual) 
30%: Project report (group)
20%: Presentation and company evaluation (group)
30%: Reflection report (individual)

To pass the course, students must attend at least 3 of the workshops, obtain a minimum of 50% of the score of each part, a weighted total grade of at least 6 and have handed in all the assignments and reports.

Resits & compensation
For the project report and reflection report, a resit is possible and will be arranged via Brightspace. 

Grading for each part is registered in Brightspace, only the final grade is published in Osiris.
Recommended materials
The course does not have any obligatory literature. Over the length of the course, there will be various reading suggestions.

Instructional modes
Attendance MandatoryYes

Introductory Lecture

Attendance MandatoryYes

Test weight1
Test typeAssignment
OpportunitiesBlock PER4