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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 search, 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 | 150 |
Laboratories | 20 |
Total | 194 |
Proficiency in the Java (Python) Programming Language is required. There is a significant software engineering effort required and so students must be extremeley comfortable and proficient in developing complex programes using modern tools and techniques.
Description | % of Final Grade | Timing |
---|---|---|
Project: GWAP Project | 75 |
Throughout the Trimester |
Continuous Assessment: Collective Intelligence Mini Project | 25 |
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.
Name | Role |
---|---|
Antonio Bevilacqua | Tutor |
Mr Xingsheng Guo | Tutor |
Mr Khalil Muhammad | Tutor |