Last modified: 25 Sep 2019 09:58
Computational Intelligence covers a wide range of issues that developed in parallel with, or in competition to, symbolic AI. The major constituents of the field are bio-inspired computing – which deals with an ever expanding number of biologically related techniques – and fuzzy logic – which deals with reasoning under conditions of vagueness. In this course we will explore a number of topics that are core to Computational Intelligence (e.g. neural nets and evolutionary computing) and these will lead into some state-of-the-art approaches (such as fuzzy model-based reasoning and learning).
Study Type | Undergraduate | Level | 4 |
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Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
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Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 75 | |
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Assessment Type | Summative | Weighting | 25 | |
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Formative feedback for in-course assessments will be provided in written form. Additionally, formative feedback on performance will be provided informally during practical sessions. |
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There are no assessments for this course.
Assessment Type | Summative | Weighting | 100 | |
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Assessment Weeks | Feedback Weeks | |||
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Knowledge Level | Thinking Skill | Outcome |
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