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Curricular information is subject to change
On completion of this module students will be:
1. Familiar with a range of social computing applications;
2. Able to utilize social computing tools to solve information problems;
3. Able to identify, evaluate, and implement social computing applications for an organisation;
4. Aware of the social, political and ethical issues surrounding social computing;
5. Familiar with future trends and possibilities rising out of social computing.
| Student Effort Type | Hours |
|---|---|
| Lectures | 14 |
| Computer Aided Lab | 10 |
| Specified Learning Activities | 50 |
| Autonomous Student Learning | 51 |
| Total | 125 |
Prior computer programming/scripting experience (personal or via coursework) is not required, but will expand the range of possible projects the student can pursue within the module.
| Description | % of Final Grade | Timing |
|---|---|---|
| Group Project: Group project | 60 |
Week 12 |
| Presentation: Group Presentation | 20 |
Varies over the Trimester |
| Portfolio: Lab/elearning exercises used to develop an e-portfolio | 20 |
Varies over the Trimester |
Compensation
This module is passable by compensation
Resit Opportunities
In-semester assessment
Remediation
If you fail this module, you may avail of a resit opportunity. Details of resit arrangements will be provided by the module coordinator and/or on Blackboard, including submission deadlines.
| Name | Role |
|---|---|
| Assoc Professor Lee Komito | Lecturer / Co-Lecturer |