CSC-20043 - Computational and Artificial Intelligence I
Coordinator: Alastair Channon Room: CR035 Tel: +44 1782 7 34270
Lecture Time:
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2026/27

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

CSC-10080 Computer Systems and Fundamentals

Barred Combinations

None

Description for 2026/27

This module will provide students with an introduction to the core computational intelligence topics of evolutionary algorithms and neural networks, and some of the similarities and differences between natural and synthetic intelligent systems.

Aims
The aim of the module is to provide students with an introduction to the core computational intelligence topics of evolutionary algorithms and neural networks, their use in vision systems and robotics, and the similarities and differences between natural and synthetic intelligent systems.

Intended Learning Outcomes

apply core concepts of neural networks and evolutionary algorithms: 1
evaluate similarities and differences between natural and synthetic intelligent systems
: 1
evaluate the use of computational intelligence techniques: 1
explain the use of computational intelligence techniques: 1

Study hours

20 hours lectures
8 hours practical classes
6 hours of tutorials
114 hours private study
2 hours exam.

School Rules

None

Description of Module Assessment

1: Exam weighted 100%
2-hour unseen examination
2-hour unseen examination. Students answer two of three questions: Q1 is a compulsory question; students choose between Q2 and Q3.