course-details-portlet

DT8118

Advanced Cooperation Systems

Credits 7.5
Level Doctoral degree level
Course start Autumn 2026
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Portfolio assessment

About

About the course

Course content

The course includes the analysis of different cooperative settings as well as the study of methods, concepts, formalisms and tools for modelling, analyzing, designing, implementating and evaluating systems supporting cooperation. Focus will be on ubiquitous and mobile technology. A compulsory theory essay counts in the final grade.

Learning outcome

The main objective of the course is to train PhD students in the area of cooperation technology from a sociotechnical perspective. Students are expected to gain advanced knowledge about the state of the art in cooperation technology, in terms of theories, methods, and technology. At the end of the course students are expected to be able to apply the gained knowledge in the analysis of cooperative settings and in the design of new technology. They also will develop competencies needed to participate and set up research in the area.

It is expected that students can reflect and report on the use of AI-based tools in connection with their own work.

Learning methods and activities

Seminars, self-study, and own theory essay.

For lectures or seminars to be organized, at least 3 students must take the course.

Further on evaluation

(the information may be changed until June 15th)

The portfolio consists of three individual works.

Each work is a further development (draft, new draft, final version) of a theoretical essay/article that may be relevant to the candidate's doctoral project if desired.

  • The works are submitted approximately in weeks 40, 45, and 50.
  • All three works must be approved to pass the course.
  • The last work is submitted in Inspera.

Supervision takes the form of seminars (or colloquium if less than 3 students take the course).

Dates for seminars will be agreed with students at the beginning of the semester.

In the event of failure, or valid absence, the entire portfolio must be retaken during a semester in which the course is taught.

Course materials

Articles and book chapters, to be defined at the beginning of the course.

Credit reductions

Course code Reduction From
DT8107 7.5 sp Autumn 2008
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Computer and Information Science

Contact information

Course coordinator

Department with academic responsibility

Department of Computer Science

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Passed / Not Passed

Ordinary examination - Autumn 2026

Portfolio assessment
Weighting 100/100 Exam system Inspera Assessment