CSC-20043 - Computational and Artificial Intelligence I
Coordinator:
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2022/23

None

Available as a Free Standing Elective

Yes

Co-requisites

None

Prerequisites

CSC-10029 Fundamentals of Computing

Barred Combinations

None

Description for 2022/23

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: Open Book Examination weighted 100%
Online open book exam
The paper will be released on KLE on the morning of the exam. The paper will contain 3 questions; Q1 is a compulsory question, students then choose between Q2 and Q3. All questions will primarily be problem based, with the students expected to address a small case study or example problem using one (or a combination) of the Computational Intelligence techniques covered in the module. Students will be given 24 hours to complete the exam, though the exam will be written in such way as to only take 2 hours of the students time.