Last modified: 22 May 2019 17:07
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).
|Session||First Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
This is the total time spent in lectures, tutorials and other class teaching.
1st Attempt: 1 two-hour written examination (75%); continuous assessment (25%). Resit: One 2-hour examination (100%).
During lectures, the Personal Response System and/or other ways of student interaction will be used for formative assessment. Additionally, practical sessions will provide students with practice opportunities and formative assessment.