ASOA16295U Critical theory: Capitalism, Democracy and Inter-Sectionality

Volume 2023/2024
Education

Full-degree students enrolled at the Faculty of Social Science, UCPH 

Master Programme in Social Data Science

Master programme in Global Development

Master programme in Political Science

Bachelor and Master Programmes in Sociology

Bachelor and Master Programmes in Psychology

Bachelor and Master Programmes in Anthropology

 

The course is open to:

  • Exchange and Guest students from abroad
  • Credit students from Danish Universities
Content

The three course packages are called:

  • Welfare, inequality and mobility
  • Knowledge, organisation and policy
  • Culture, lifestyle and everyday life
Learning Outcome

On successful completion of the course, the student is able to:

KNOWLEDGE

  • account for the distinction of different conceptions of critique and the role critique plays in social science.
  • relate these conceptions to different ways of conducting critique in different research fields


SKILLS

  • compare and critically discuss these ways.
  • criticize social problems or injustices
  • apply this skill in investigations of the social world.

 

COMPETENCES

  • plan and perform research and investigations of different aspects of the social world in which critique plays a crucial role.
  • choose and apply forms of social criticism in a scientific correct way in

The teacher uploads the full curriculum to Absalon

The course presupposes basic knowledge in social theory
Lectures, discussions, presentation and discussions of essay ideas, group work in a concluding workshop
  • Category
  • Hours
  • Class Instruction
  • 28
  • Total
  • 28
Oral
Credit
7,5 ECTS
Type of assessment
Written assignment
Aid

Policy on the Use of Generative AI Software and Large Language Models in Exams

The Department of Sociology prohibits the use of generative AI software and large language models (AI/LLMs), such as ChatGPT, for generating novel and creative content in written exams. However, students may use AI/LLMs to enhance the presentation of their own original work, such as text editing, argument validation, or improving statistical programming code. Students must disclose if and how AI/LLMs have been used in an appendix, which will not count toward the page limit of the exam. This policy is in place to ensure that students’ written exams accurately reflect their own knowledge and understanding of the material.

 

 

Marking scale
7-point grading scale
Censorship form
No external censorship
Re-exam

The re-exam is a written assignment based on one or more questions set by the teacher.

Criteria for exam assesment

See learning outcome