Core Module Information
Module title: Computational Intelligence

SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SET11127
Module leader: Kevin Sim
School School of Computing, Engineering and the Built Environment
Subject area group: Computer Science
Prerequisites

There are no pre-requisites for this module to be added

Description of module content:

In this module you will:- develop an awareness of the use of modern computational intelligence techniques;- develop an understanding of a number of techniques such as evolutionary algorithms, neural networks, co-evolution, classifier systems and fuzzy logic;- gain practical experience of implementing and evaluating computational intelligence algorithms.

Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Critically evaluate the use of soft computational intelligence techniques.

LO2: Critically assess and contrast the use of differing techniques to achieve particular functionalities.

LO3: Specify, implement and customise a computational intelligence algorithm.

LO4: Apply appropriate evaluation techniques in order to analyse an algorithm’s effectiveness.

LO5: Present the results in an appropriate form and draw appropriate conclusions.

Full Details of Teaching and Assessment

Indicative References and Reading List - URL:
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