Last modified: 21 Oct 2020 08:45
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 â€“ which deals with an ever expanding number of biologically related techniques â€“ and fuzzy logic â€“ 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).
|Session||First Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
Information on contact teaching time is available from the course guide.
Critical Essay 50%
Research Project 50%
Alternative Resit Arrangements for students taking course in Academic Year 2020/21
Where a student fails the course overall they will be afforded the opportunity to resit those parts of the course that they failed (pass marks will be carried forward).
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|