Co-curricular written assignment
Course content
Co-curricular written assignments are an option available to students who want to enhance their knowledge and competencies in a particular field within social data science.
Students are only allowed to pass this course once in the course of
the Master’s degree programme.
Elective course offered by MSc programme in Social Data Science at University of Copenhagen.
The course is offered as 2,5 ECTS, 5 ECTS or 7,5 ECTS.
The course is only open for students enrolled in the MSc programme in Social Data Science.
At the end of the course, students are able to:
Knowledge
- Critically and independently reflect upon and discuss the applied social data science theories and methods within the chosen area of study.
- Account for the validity, scope and usefulness of relevant data as part of the project.
Skills
- Apply relevant theories and methods on a selected area of study.
- Independently summarize and analyse a topic in a well-structured written report.
Competencies
- Independently identify and select relevant theories to examine a chosen area of study.
- Independently select, analyse and apply academic literature relevant to a specific problem statement.
Students enter into supervision agreements with one of the full-time teachers who are involved in the Master’s degree programme in Social Data Science or an affiliated part-time lecturer, a PhD -student or a post doc. Supervision of co-curricular written assignments is limited to initial assistance with literature suggestions and/or the structuring and scope of the analysis and contents in the course of one meeting.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Written assignment
- Type of assessment details
- The assignment may be written individually or in groups. The length of the co-curricular written assignment follows the general length prescriptions for written exams, cf. section 5 in the programme curriculum.
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
- Re-exam
-
The second and third examination attempts are conducted in the same manner as the ordinary examination.
Criteria for exam assessment
The exam will be assessed on the basis of the learning outcome (knowledge, skills and competencies) for the course.
- Category
- Hours
- Guidance
- 3
- Exam Preparation
- 203
- English
- 206
Kursusinformation
- Language
- English
- Course number
- ASDK20008U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 semester
- Placement
- Autumn And Spring
- Studyboard
- Social Data Science
Contracting department
- Social Data Science
Contracting faculty
- Faculty of Social Sciences
Course Coordinator
- Friedolin Merhout (8-6c736b786e757b7a4679756934717b346a71)
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