NDAK16002U Computer Supported Cooperative Work (CSCW)
MSc programme in Computer Science.
The course in Computer-Supported Cooperative Work (CSCW) has two main focuses 1) to study collaboration and 2) to design collaborative technologies. Collaboration is everywhere and techniques and methods can be used for several domains including open source development, open hardware collaboration, healthcare, gaming, research & development etc.
The course contains advanced research-based themes and topics from contemporary CSCW research and includes (but not limited to) articulation work, dependencies, coordination, awareness, common information spaces, information infrastructures, and transnational HCI.
The course has three parts:
- Theoretical introduction to the CSCW research domain
- Practical experiments with global collaboration e.g. through playing a strategic collaborative games
- Conceptual design of collaborative technologies
Knowledge:
- Explain central concepts in CSCW research.
- Discuss and argue theoretical concepts and insights from computer supported cooperative work (CSCW) research related to studying collaborative work arrangement
- Identify and discuss challenges for the design of collaborative technologies and work practices based upon CSCW foundations.
Skills:
- Analyze a collaborative practice and the use of collaborative technologies by applying the theoretical concepts from CSCW, and
- Design (Re-design) collaborative technologies and suggest how experienced challenges can be addressed in new designs of collaborative technologies based upon theoretical as well as practical arguments
Competences:
- Participate competently in globally distributed collaboration by acting pro-actively in terms of making the collaboration function and using collaborative technologies,
- Experiment with the design of collaborative technologies
- Category
- Hours
- Exam
- 1
- Exercises
- 24
- Lectures
- 24
- Preparation
- 32
- Project work
- 125
- Total
- 206
As
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Continuing Education - click here!
- Credit
- 7,5 ECTS
- Type of assessment
- Oral examination, 20 minThe oral exam is without preparation and is based on a group project report.
- Exam registration requirements
To qualify for the exam, student must hand in a report based on their project.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
- Re-exam
Oral exam without preparation, 20 min, based upon (possibly revised) project report. For the student to qualify for the re-exam, the report must be resubmitted no later than two weeks before the re-exam date.
Criteria for exam assesment
The students will be assessed with respect to the intended learning outcomes specified above.
Course information
- Language
- English
- Course code
- NDAK16002U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 1 And Autumn
- Schedule
- A
- Course capacity
- no limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Computer Science
Course responsibles
- Pernille Bjørn (14-746976726d70706932666e73767244686d326f7932686f)