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Module Descriptor School of Computer Science and Statistics

Module CodeCS3107
Module Short Title
Semester TaughtMichaelmas Term
Contact Hours

1 x 1.5 hr lecture per week
1 x 1.5 hr online per week

Module PersonnelMr. Shawn Day
Learning Outcomes

After completing this module, students will be able to:

  • Identify social computing technologies and trends, identify associated principles and larger societal aspects giving rise to technological processes;
  • Critically evaluate, discuss and debate current and future impact on society, business and government of the propagation and use of social computing technologies;
  • Apply theories from reference disciplines including sociology, psychology, political science, anthropology and economics, to address issues such as individual motivation, community formation and sustainability, and corporate vs. community control.
  • Consider, specify and be able to critically appreciate selected social computing
Learning Aims

Social computing has altered the ways in which individuals and organisations interact with information systems as well as with each other. New and emerging platforms and services raise new issues that provide new avenues of engagement but come with pitfalls that challenge if smooth embraced by enterprise.

This module provides an overview of social computing and its evolving impacts on society and business processes and practice. Students will evaluate ways and means in which social computing technologies can be applied by individuals, communities and organisations. 

Social computing encompasses such phenomena as social networking, Enterprise 2.0, internet activism/advocacy, crowdsourcing, e-Government/Government 2.0, social/viral marketing, social information processing, social network analysis and the use of blogging, podcasts, wikis and other collaborative tools and new means of knowledge capture and generation.

The growing embrace of OPEN frames of reference whether in Data, Government, and knowledge creation and transfer further emphasise the changing paradigms and underlie the discussion and module trajectory.

Module Content

Introduction to Social Computing
Conclusion and Review

Recommended Reading List

Bacon, Jono. (2010). The Art of Community. O’Reilly and Schneier, Bruce. Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World. 2015
Tapscott, Don and Anthony D Williams. (2006) Wikinomics: How Mass Collaboration Changes Everything. Penguin, 2006.
Tapscott, Don and Anthony D Williams. (2010) Macrowikinomics: Rebooting Buesiness and the World. Penguin, 2010.

Module Prerequisites
Assessment Details

Continuous participation in social media-enabled discussion of course issues and concepts via Twitter, Facebook and LinkedIn
Assessment: 20%

Response to weekly discussion questions via class Forums
Evaluation: Ongoing
Assessment: 30%
Compose and Interact with other students via open discussion. 
Complete weekly critical appreciation of topics discussed.

Social Computing Group Presentation
Set: Week 2  Due: From Week 4
Value: 25%
In groups, students collaboratively present their case study findings to their peers.

Solo Journal Review.
Set Week 1  Due Week 12
Value 25%

All of above assessment details are exemplar and may be altered.

Module Website
Academic Year of Data