Sociology of Global Inequality

Course content

Course content (and objective): The course focuses on presenting theories and empirical data regarding global social inequality. Are fewer and fewer people owning more and more of the global wealth? Has global inequality grown in the last 20 years or has it diminished? Does globalization create more or less global inequality? These are some of the questions that are raised on the course and which we analyze on the basis of different theories about what creates differences in 'wealth' between individuals and between different regions in the world (eg North / South, Asia / Africa / Europe) and what creates differences within the regions. Central topics are inequality in relation to gender, ethnicity, elites, power, health, social mobility, economy, and the like.  Different sociological and social science theories of inequality are used

Education

The title has been change after the reservation and therefore you will find a different title in the schedule but the reservations is correct

Schedule link see here

 

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

  • Master Programme in Social Data Science
  • Bachelor Programmes in Sociology
  • Bachelor Programmes in Psychology
  • Bachelor and Master Programmes in Anthropology 
  • Master programme in Global Development
  • Bachelor in Economics

 

The course is open to:

  • Exchange and Guest students from abroad
  • Credit students from Danish Universities
Learning outcome

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


Knowledge:

  • Account for wide range of Sociological theories of inequality.
  • Describe empirical characteristics regarding inequality patterns in a global perspective.

 

Skills:

  • To combine theoretical issues with empirical observations within the field of global inequality.

 

Competences:

  • Apply theories of inequality to an empirical field.
  • Evaluate advantages and disadvantages between applying different theories to different empirical material.

Lectures and different types of exercises. Each class will contain lectures and discussions of the curriculum among the students (group work).

The teaching material will be present at Absalon.

The course can also be followed by BA-students from other social science areas and by students with an overall knowledge and interest in global inequality.

Peer feedback (Students give each other feedback)
ECTS
7,5 ECTS
Type of assessment
Portfolio
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 in an appendix if and how AI/LLMs were used; this appendix 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
No censur
Criteria for exam assessment

Please see the learning outcome

  • Category
  • Hours
  • Seminar
  • 42
  • English
  • 42

Kursusinformation

Language
English
Course number
ASOB16205U
ECTS
7,5 ECTS
Programme level
Bachelor
Bachelor choice
Bachelor’s minor subject
Duration

1 semester

Placement
Autumn
Studyboard
Department of Sociology, Study Council
Contracting department
  • Department of Sociology
  • Department of Anthropology
  • Department of Psychology
  • Social Data Science
  • Department of Economics
Contracting faculty
  • Faculty of Social Sciences
Course Coordinator
  • Carsten Strøby Jensen   (3-66766d43767266316e7831676e)
csj@soc.ku.dk, 35323944
Teacher

Carsten Strøby Jensen

Saved on the 21-09-2023

Are you BA- or KA-student?

Are you bachelor- or kandidat-student, then find the course in the course catalog for students:

Courseinformation of students