Cancelled Collaborative Computing (CollComp)
Course content
The course in Collaborative Computing introduces research on Computer Supported Cooperative Work (CSCW) and 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 knowledge sharing.
The course has three parts:
- Theoretical understanding of the CSCW research domain.
- Empirical investigation of cooperative practices and technologies in a concrete case (e.g. studying the emergency practices in ambulances or studying online practices such as the cooperative practices in Wikipedia)
- Design of collaborative technologies considering the tangible nature of work.
MSc Programme in Computer Science.
Knowledge of
- Theoretical concepts and insights from computer supported cooperative work (CSCW) research relevant for examinating collaborative work arrangements as well as for the design of cooperative technologies.
Skills to
- Explain central concepts in CSCW research.
- Analyse a collaborative practice and the use of collaborative technologies by applying the theoretical concepts from CSCW.
- Identify and discuss challenges for the design of collaborative technologies and work practices based upon CSCW foundations.
Competences to
- Analyse a collaborative work practice applying ethnographic methods
- Design and evaluate collaborative technologies.
Learning activities include lectures, workshops, explorative exercises, empirical data collection, where students will work theoretically and experimentally with CSCW concepts for analysis and design.
Research papers. See Absalon.
Academic qualifications equivalent to a BSc degree is recommended.
Collaborative Computing is identical to the former 'CSCW-course' and students can only take (and get credit for) one of the courses.
As
an exchange, guest and credit student - click here!
Continuing Education - click here!
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Oral examination, 20 minutesThe oral examination is without preparation and is based on the qualifying group project report.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
Criteria for exam assessment
In order to obtain the grade 12 the student should convincingly and accurately demonstrate the knowledge, skills and competences described under Learning Outcome.
Single subject courses (day)
- Category
- Hours
- Lectures
- 24
- Preparation
- 32
- Exercises
- 24
- Project work
- 125
- Exam
- 1
- English
- 206
Kursusinformation
- Language
- English
- Course number
- NDAK17000U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Placement
- Block 2 And Autumn
- Schedulegroup
-
A
- Capacity
- no limit
- Studyboard
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Computer Science
Contracting faculty
- Faculty of Science
Course Coordinator
- Pernille Bjørn (14-756a77736e71716a33676f74777345696e33707a336970)
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Courseinformation of students