Module Database Search



MODULE DESCRIPTOR
Module Title
Intelligent Web Technologies
Reference CM4007 Version 8
Created October 2017 SCQF Level SCQF 10
Approved April 2005 SCQF Points 15
Amended October 2017 ECTS Points 7.5

Aims of Module
To introduce the student to the fundamental roles as well as the practical impacts of Artificial Intelligence and advanced Information Technology on the next generation of Web-based products, systems, services, and activities.

Learning Outcomes for Module
On completion of this module, students are expected to be able to:
1 Discuss the key concepts of current and intelligent technologies for information search and retrieval applications.
2 Analyse and evaluate the effectiveness of Web-based information systems.
3 Select and apply appropriate intelligent agent technologies.
4 Analyse and discuss an intelligent agent scenario.
5 Design and/or implement intelligent web-based systems.

Indicative Module Content
Information collection: crawling and document preprocessing. Information retrieval:indexing and retrieval. Agents, multi-agent systems, intelligent agents, agent architecture, group decisions, forming coalitions, agent communication.

Module Delivery
Lectures are used to deliver the main principles and techniques underlying intelligent web-based systems development. Computing laboratories will be used to examine case studies which reinforce the material covered in the lectures and to design and implement prototype intelligent web-based systems. The understanding of the student is further enhanced through directed reading.

Indicative Student Workload Full Time Part Time
Contact Hours 44 44
Non-Contact Hours 106 106
Placement/Work-Based Learning Experience [Notional] Hours N/A N/A
TOTAL 150 150
Actual Placement hours for professional, statutory or regulatory body    

ASSESSMENT PLAN
If a major/minor model is used and box is ticked, % weightings below are indicative only.
Component 1
Type: Examination Weighting: 50% Outcomes Assessed: 3, 4
Description: This is a closed book examination.
Component 2
Type: Coursework Weighting: 50% Outcomes Assessed: 1, 2, 5
Description: Coursework.

MODULE PERFORMANCE DESCRIPTOR
Explanatory Text
The calculation of the overall grade for this module is based on equal weighting of C1 and C2 components.
Examination:
Coursework: A B C D E F NS
A A A B B C E
B A B B C C E
C B B C C D E
D B C C D D E
E C C D D E E
F E E E E E F
NS Non-submission of work by published deadline or non-attendance for examination

Module Requirements
Prerequisites for Module CM2015 Object-oriented Software Design or equivalent.
Corequisites for module None.
Precluded Modules None.

INDICATIVE BIBLIOGRAPHY
1 GOKER,A. and DAVIES J., 2009. Searching in the 21st Century. Wiley. ISBN: 978-0-470-02762-2,
2 WOOLDRIDGE,M.,2009. An Introduction to Multi-Agent Systems. 2nd Ed. Wiley.
3 RUSSEL, S. and NORVIG, R., 2010. Artificial Intelligence: A Modern Approach, 3rd Ed., Prentice Hall
4 WEISS, G., 2013. Multiagent Systems (Intelligent Robotics & Autonomous Agents Series), MIT Press
5 GOELFORD,M.,KAHL, Y.2014 Knowledge Representation, reasoning and the design of Intelligent Agents: The Answer-Set Programming Approach, Cambridge University Press.
6 WEISS, G (ed), 2013 Multiagent Systems (2nd Ed) MIT Press ISBN 970-0-262-01889-0


Robert Gordon University, Garthdee House, Aberdeen, AB10 7QB, Scotland, UK: a Scottish charity, registration No. SC013781