Last modified: 11 Oct 2024 14:16
This course will provide students of our MSc in AI programme with the opportunity to develop their own AI research project, under the supervision of a member of staff. Typical projects include extending, improving or adapting existing AI theories or techniques to solve different problems, comparing competing techniques or tools to solve a particular problem, and so on. Students will improve their problem-solving and communication skills, as well as broaden, deepen and consolidate knowledge obtained in other components of the degree.
Study Type | Postgraduate | Level | 5 |
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Term | Second Term | Credit Points | 60 credits (30 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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Students will develop individual AI research projects, supervised by a member of staff. Projects may involve, for instance, the implementation and evaluation of novel solutions, exploring existing solutions for new problems, or developing new theories, methodologies and tools. Students will exercise their creativity, problem-solving and communication skills, as well as broaden, deepen and consolidate knowledge obtained in other components of the degree.
Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 100 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
A written report, independently prepared by two examiners, is the feedback. Interim informal feedback to be provided by supervisors and by the course coordinator (mid-term report). |
Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Formative | Weighting | ||
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Formative | Weighting | ||
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Knowledge Level | Thinking Skill | Outcome |
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Factual | Remember | ILOs for this course can be found in the course guide |
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