Module Import 04IN2042 - Computational Social Science

Status: Published
Workload6 ECTS = 180 hrs
Credits, Weight6 ECTS, (n.s.)
Language of Instruction English
Semester (n.s.)
Duration1 Sem.
M/E Elective
Courses
Course No. Type Name MA/EL Workload Credits Contact Hours Selfstudy Group Size
04IN2042-1 Lecture Computational Social Science (n.s.) 3 ECTS = 90 hrs - 2 hrs/week = 30 hrs 60 hrs (n.s.)
04IN2042-2 Seminar/Exercise Computational Social Science (n.s.) 3 ECTS = 90 hrs - 2 hrs/week = 30 hrs 60 hrs (n.s.)
Learning Outcomes

The purpose of the module is to acquaint students with the essential approaches and methods in the Computational Social Science field.

This includes knowledge about potentials and limitations of nonreactive survey research procedures for the social sciences, in particular methods of social networks analysis.

The students will be trained to plan, carry out and evaluate on their own empirically-based studies on the basis of new data forms (e.g. from social media).

Content

(not specified)

04IN2042-1 - Computational Social Science

The seminar introduces students into the research area of Computational Social Science.

The students will be trained to select, test, apply and provisionally evaluate methods from the computer science field in order to answer social science questions.

A basic understanding of the possible application of Data Mining methods will be developed for this purpose, as well as an understanding of the significance and possibilities of operationalization of issues and problems established in the social sciences.

The content of the module include at least following areas : Social Science Research Questions and Methods, The Small World Phenomenon, Search in Social Networks, Python and Octave tutorials, Social Network Analysis, Affiliation Networks, Community Detection, Social network models and Generation.

Teaching Methods

(not specified)

Prerequisites

(not specified)

Examination Methods

written exam: 50%

home assignment (code submissions): 50%

Credit Requirements

(not specified)

References

(not specified)

04IN2042-1 - Computational Social Science

Stanley Wasserman and Katherine Faust, Social Network Analysis - Methods and Applications, 1995

Monge, Peter R., and Noshir S. Contractor. Theories of communication networks. New York: Oxford University Press, 2003.

David Easley and Jon Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected World, 2010 (free online book)

Use of this Module
  1. unmodified as Elective  -    MSc Computer Science 2017  -    Mandatory elective courses Computer Science  -    Computational Social Science
  2. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses Computer Science  -    Computational Social Science
  3. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in Computational Visualistics or computer science  -    Computational Social Science
  4. unmodified as Elective  -    MSc E-Government 2017  -    Mandatory elective courses Information Systems  -    Computational Social Science
  5. unmodified as Elective  -    MSc Information Management 2017  -    Major subject Economic Sciences  -    Computational Social Science
  6. unmodified as Elective  -    MSc Information Management 2017  -    Mandatory elective courses Computer Science and Information Systems  -    Computational Social Science
  7. unmodified as Elective  -    MSc Information Systems 2017  -    Mandatory elective courses Application Systems in Business and Administration  -    Computational Social Science
  8. unmodified as Elective  -    MSc Information Systems 2017  -    Mandatory elective Economic Sciences  -    Computational Social Science
  9. unmodified as Elective  -    MSc Web Science 2017  -    Major subject web and society  -    Computational Social Science
  10. unmodified as Elective  -    MSc Web Science 2017  -    Mandatory elective interdisciplinary courses  -    Computational Social Science
Responsible / Organizational Unit
Strohmaier, Markus / Institute for Computer Science
Additional Information

(not specified)

04IN2042-1 - Computational Social Science

Slides, web page

Last change
Apr 24, 2018 by Frey, Johannes
Last Change Module
Dec 12, 2013 by Frey, Johannes