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CSC-30020 - Module Specification
School of Computing and Mathematics
Faculty of Natural Sciences

For academic year: 2019/20 Last Updated: 01 March 2020

CSC-30020 - Computational Intelligence II
Coordinator: Alastair D Channon Room: CR035 Tel: +44 1782 7 34270
Lecture Time: See Timetable...
Level: Level 6
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2019/20

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

Computational Intelligence I (or equivalent experience).

Barred Combinations

None

Description for 2019/20

This module will expand on the range of computational intelligence (CI) themes introduced earlier in the degree. Importantly, the module will allow students to explore in greater depth, selected research-led topics at the forefront of current thinking in the rapidly evolving CI field. Upon completion of this module good students will be well placed to pursue further research in industry or in education (e.g. as an MSc or PhD student).

Aims
The aim of the module is to build on Computational Intelligence I by covering more advanced and research-led CI topics, as well as complementary Artificial Intelligence topics including search and reasoning algorithms.

Intended Learning Outcomes

demonstrate knowledge of, and appraise, contemporary CI techniques and current research in the field; will be achieved by assessments: 1, 2
critically evaluate Computational Intelligence techniques; and assess their suitability in different applications; will be achieved by assessments: 2
propose novel questions and solutions grounded in the existing CI research literature. will be achieved by assessments: 2

Study hours

9 hours Lectures
9 hours Seminars
36 hours Seminar Preparation
16 hours Coursework Preparation (for seminar presentation)
78 hours Private Study
2 hour Examination

School Rules

None

Description of Module Assessment

1: Presentation weighted 30%
Seminar presentation
Seminar presentation on a research-led topic. Each presentation will be first-marked by the lecturer running the seminar session and second-marked with the aid of the electronic presentation file, which students will submit to the KLE. Each student contributes to one of the small-group seminar presentations (assigned in the first seminar) which covers three papers: two set ones and one related paper for each group. Each presentation is followed by a round of questions and answers, immediate feedback and a discussion led by the lecturer running the seminar sessions. Each student then updates the group's previously shared presentation file individually based on this feedback and discussion and submits an individual presentation file. Each presentation is first-marked by the lecturer running the seminar sessions. All marks are for content, not presentation skills. The marking scheme is: 10% Outline of the research ideas 10% Motivation of the work, citing relevant research literature 20% The research questions addressed by the papers 20% Descriptions of the methodologies used 40% Details of experiments, results, analysis and conclusion

2: Exam weighted 70%
2 hours
Two hour closed-book, end of semester examination containing a compulsory seen question (question 1, requesting a novel idea for a research proposal), and two unseen questions. Answer question 1 and either question 2 or question 3.

This document is the definitive current source of information about this module and supersedes any other information.

Last Updated: 01 March 2020