ASDK20008U Co-curricular written assignment

Volume 2022/2023
Education

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.

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.

Learning Outcome

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.
  • Category
  • Hours
  • Guidance
  • 3
  • Exam Preparation
  • 203
  • Total
  • 206
Oral
Individual
Credit
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 depends on the prescribed number of ECTS, cf. section 6.8.2 (of the programme curriculum).


ChatGPT and other large language model tools are permitted as a dedicated source, meaning text copied verbatim needs to be quoted, the tool cited, and generally the specific use made of them needs to be described in the submitted exam
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 assesment

The exam will be assessed on the basis of the learning outcome (knowledge, skills and competencies) for the course.