Tentalabbet

771A44 · 7.5 credits · Advanced level (A1N) · Computational Social Science

Applied Research Design for Computational Social Science

Active · next start HT 2026

90%

passed the latest ordinary exam

EXA1 · 15 Dec 2025 · 40 students

90%

passed the ordinary exams, all sittings over the last 5 years

EXA1 · 40 students

39%

Harder than 39% of courses at advanced level

Compared with 285 courses at the same level, ordinary exams over the last three academic years. 40 students.

Part of 1 programme

Exam

EXA1 Final examination

  • A
  • B
  • C
  • D
  • E
  • F

Ordinary exams

90% passed · 40 students

  • 90%40

Re-exams

No sittings with at least 5 students.

  • Get B or A: 70% (40 students)
Show small sittings (3)

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

  • 100%1
  • 100%1
  • 100%1

Other modules

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

Other module

OBL1 Mandatory seminars

  • A
  • B
  • C
  • E
  • P
  • F

Main rounds

88% passed · 42 students

  • 88%42

Later rounds

No sittings with at least 5 students.

  • Get B or A: 69% (42 students)
Show small sittings (3)

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

  • 100%1
  • 100%1
  • 100%1

About the course

Aim

After completion of the course, the student should at an advanced level be able to:

  • Formulate and motivate social scientific research questions, connecting them to relevant theories and literatures in social science.
  • Evaluate and justify the selection of computational methods for answering social scientific research questions.
  • Assess data needs and related operationalizations for computational social science research designs.
  • Compare, critique, and defend different computational social science research designs.
  • Identify and resolve ethical issues in conducting research in computational social science.

Content

This course offers preparation for conducting social scientific research using a computational approach. The focus of the course is preparation of a social scientific research proposal as a basis for a thesis, research article, or report. Along the way, best practices with respect to writing, reference management, open science, ethical research conduct, and related topics are presented.

Examiner
Sarah Valdez
Main field of study
Computational Social Science
Syllabus on Studieinfo ↗