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.
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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.
- Workshops on:
- Communication and presentation
- Self-knowledge
- Stakeholder management
- Personal leadership
- Intellectual property (IP)
- (Integrity)
- Group project (for an external customer, potentially in forms of visit at work place or a challenge).
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Advised: SOW-MKI66 Advanced academic and professional skills (or equivalent).
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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.
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