Logic of Social Inquiry, 7.5 credits

Main field of study

Course level

Advancement level

Course offered for

• Master´s Programme in Computational Social Science

Entry requirements

• Bachelor's degree equivalent to a Swedish Kandidatexamen within one of the following subject areas:
  - humanities
  - cultural studies
  - social sciences
  - behavioural sciences
  - natural sciences 
  - computer sciences
  - engineering-sciences
  or equivalent
• English corresponding to the level of English in Swedish upper secondary education (English 6/B)
  (Exemption from Swedish)

Intended learning outcomes

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

• describe and critically examine common modes of social inquiry used within the social sciences;
• appraise the role of micro-level social processes in explanations of macro-level outcomes, and critique explanations of macro outcomes on this basis;
• critically assess the strengths and weaknesses of computational social science as compared to other approaches to social research, relating computational approaches to micro- and macro-levels of analysis;
• identify and formulate research questions that can be answered with the tools of computational social science;
• critically analyse and integrate knowledge gained through readings and discussions, and express this knowledge in class and in writing,
• describe the ethical principles regarding the production and presentation of original social research;
• account for and apply the rules for the treatment of academic references and the principles of source criticism.

Course content

This course provides an advanced introduction to the logic of inquiry and research design in the social sciences. The readings cover issues ranging from the nature of scientific explanations and causal inquiry to the variety of research methodologies available to social scientists.  After introducing and critically examining the most important modes of social inquiry currently in practice, the course focuses on computational social science, its defining characteristics, and how computational approaches can improve our understanding of the complex social processes through which macro-level social outcomes are brought about, and by which they can be explained. 

Teaching and working methods

The teaching consists of lectures, readings, and seminars. Homework and independent studies are a necessary complement to the course.
Language of instruction: English.

Examination

The course is examined through written assignments, active participation in seminars, and a written individual final assignment. Detailed information about the examination can be found in the course's study guide.

If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it. If the coordinator has instead recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.

Grades

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. 

The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Department