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771A46 · 7.5 credits · Advanced level (A1N) · Computational Social Science

Contemporary Research in Computational Social Science I

Active · next start VT 2027

100%

passed the latest regular sitting

GRU1 · 12 Dec 2025 · 33 students

100%

passed the regular sittings, all sittings over the last 5 years

GRU1 · 33 students

This module only reports passing results, so the pass rate does not show how many did not pass.

Part of 1 programme

Other module

GRU1 Group work

  • A
  • B
  • C

Main rounds

100% passed · 33 students

  • 100%33

Later rounds

100% passed · 21 students

  • 100%21
  • Pass a later round: 100% (21 students), compared with 100% (33 students) on the ordinary exam
  • Get B or A: 89% (54 students)

Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

UPG1 Written reports

  • A
  • B
  • C
  • D

Main rounds

100% passed · 33 students

  • 100%33

Later rounds

100% passed · 19 students

  • 100%19
  • Pass a later round: 100% (19 students), compared with 100% (33 students) on the ordinary exam
  • Get B or A: 75% (52 students)

Hand-in or lab

SEM1 Seminar participation

  • P

Main rounds

100% passed · 31 students

  • 100%31

Later rounds

100% passed · 19 students

  • 100%19
  • Pass a later round: 100% (19 students), compared with 100% (31 students) on the ordinary exam
Show small sittings (1)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

  • 100%2

About the course

Aim

After completing the course, the advanced level student should be able to:

  • conduct a critical analysis of contemporary issues in computational social sciences from methodological and theoretical perspectives
  • critically analyze specific problems in computational social sciences and propose alternative theoretical and empirical approaches
  • connect current research questions to specific scientific discussions and research literature in the field of computational social sciences

Content

This course develops knowledge of computational and quantitative approaches to contemporary social scientific research problems. This is accomplished through the presentation and critical discussion of ongoing and novel research. Central themes of the course concern the application of theories and concepts to the study of issues in social scientific research; the measurement of phenomena and behaviors at the micro-, meso-, and macro-levels of social organization; and the use of different computational approaches and methods for concrete empirical investigations into social processes.

Examiner
Selcan Mutgan
Main field of study
Computational Social Science
Syllabus on Studieinfo ↗