Humans are inherently social creatures. In this course we look at digital systems that support social interactions and working together, and study how these systems generate value for their users by capturing user-generated content and activity.
Learning outcomes
Upon completion of the course the student - knows about the social and technological challenges in providing technology support for work groups, teams, online communities and networks of people - knows how to analyze social interaction and group dynamics - understands issues affecting usability and user experience of groupware applications and social computing systems - knows about research approaches applied in groupware and social computing systems research literature, and can apply their methods in new contexts - knows where to find research literature on various aspects of groupware, social computing and computer-supported cooperative work - recognizes ethical challenges involved in social computing
Contents
The course focuses on research done in social computing, groupware, and CSCW. The lectures give an introduction to the field of social computing with examples of synchronous and asynchronous systems for computer mediated communication, collaboration, coordination, and modern systems where computing is used to enhance interaction. The social implications of these systems are discussed with key concepts and theories. Throughout the course the general discussion is augmented with student work on special topics, and the course ends with student group seminar presentations.
Teaching methods
Teaching method
Contact
Online
Lectures
24 h
0 h
Seminar
10 h
0 h
Teaching language
English
Modes of study
Option
1
Available for:
Degree Programme Students
Other Students
Open University Students
Doctoral Students
Exchange Students
Participation in course work
In
English
Further information
Active participation in classroom work, preparing and giving group presentations