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CS4047: COMPUTATIONAL INTELLIGENCE (2017-2018)

Last modified: 16 Nov 2016 18:26


Course Overview

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).




Course Details

Study Type Undergraduate Level 4
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Professor George Coghill

Qualification Prerequisites

  • One of Programme Level 3 or Programme Level 4 or Programme Level 5

What courses & programmes must have been taken before this course?

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

A selection of topics spanning a range of Computational Intelligence approaches under the following headings:
  • Fuzzy Systems (e.g. Fuzzy Logic, Fuzzy Rule Bases, Mamdani Methods).
  • Model-based Technology (e.g. Qualitative and Fuzzy Qualitative reasoning, model-based diagnosis).
  • Nature Inspired Computing (eg. Neural Nets Artificial Immune Systems, Particle Swarm optimisation methods. This will include a rudimentary presentation of the basic biological principles involved).
  • Introduction to Machine Learning (e.g. Decision Trees, concept learning, clustering

Further Information & Notes

(i) Assistive technologies may be required for any student who is unable to use a standard keyboard/mouse/computer monitor. Any students wishing to discuss this further should contact the School Disability Co-ordinator.

Degree Programmes for which this Course is Prescribed

  • BSc Computing Science and Physics

Contact Teaching Time

55 hours

This is the total time spent in lectures, tutorials and other class teaching.

Teaching Breakdown


Assessment

1st Attempt: 1 two-hour written examination (75%); continuous assessment (25%). Resit: One 2-hour examination (100%).

Formative Assessment

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.

Feedback

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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