Core Module Information
Module title: Computational Intelligence

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

Module code: SET10107
Module leader: Kevin Sim
School School of Computing, Engineering and the Built Environment
Subject area group: Computer Science
Prerequisites

SET09117
Algorithms and Data Structures

Examples of Equivalent Learning: Algorithms and Data Structures based knowledge within a high level programming language.

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: Compare 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.

Full Details of Teaching and Assessment
2023/4, Trimester 2, FACE-TO-FACE, Edinburgh Napier University
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: FACE-TO-FACE
Location of delivery: MERCHISTON
Partner: Edinburgh Napier University
Member of staff responsible for delivering module: Kevin Sim
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Centrally Time Tabled Examination 2
Face To Face Lecture 24
Face To Face Practical classes and workshops 24
Independent Learning Guided independent study 150
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 60 3,4 12 HOURS= 0, WORDS= 48
Centrally Time Tabled Examination 40 1,2 14/15 HOURS= 2, WORDS= 0
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

Indicative References and Reading List - URL:
Contact your module leader