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Curricular information is subject to change
- Understanding the underlying principles of collective intelligence.
- Understanding key algorithms and approaches (e.g. games with a purpose, collaborative filtering, social filtering, particpatory sensing, etc.)
- How to develop your own collective intelligence solution as part of a major practical project.
- Understanding how the business of the Web is harnessing collective intelligence.
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Practical | 50 |
Laboratories | 20 |
Total | 94 |
Proficiency in the Java (or Python) Programming Language is required. Students must be able to programme using modern data structures and techniques.
Description | % of Final Grade | Timing |
---|---|---|
Project: GWAP Project | 50 |
Throughout the Trimester |
Project: Collective Intelligence Mini Project | 50 |
Throughout the Trimester |
Compensation
This module is not passable by compensation
Resit Opportunities
In-semester assessment
Remediation
If you fail this module you may retake it.
Name | Role |
---|---|
Mr Khalil Muhammad | Tutor |