Run by School of Computer Science and Electronic Engineering

10.000 Credits or 5.000 ECTS Credits

Semester 2

Organiser: Dr William Teahan

Aims: 1. Demonstrate an understanding of knowledge management. 2. Demonstrate an understanding of data warehouse systems. Demonstrate an understanding of the role and the concepts involved in special purpose databases such as active and deductive databases. 3. Describe methods of data mining, data quality mining and data cleansing and what insights may be gained by these methods. 4. Examine a given Digital Library and comment on how well-structured and/or user friendly it is. 5. Demonstrate an understanding of information retrieval.

Topics in Knowledge Management. Issues with Knowledge Representation and Knowledge Engineering.

Topics in Data Warehousing: ETL process (Extract, Transform, Load); data quality mining; data cleansing; data mining; Web mining; text mining.

Topics in special purpose database systems: deductive databases; active databases.

Topics in Digital Libraries.

Topics in Information Retrieval (IR) – systems, theory and technologies: Boolean search; textual conflation e.g. stemming and stopword removal; probabilistic IR model; Vector Space IR model; relevance feedback; text categorization and information filtering; information extraction; question answering; IR systems and search engines e.g. Google’s PageRank, IBM’s Web Fountain; evaluation; Search Engine Optimisation (SEO).

	threshold 40-60%. Has a good knowledge of most of the course material and can analyse and design familiar systems	good 60-70%. Has a very good understanding of the course material and can analyse and design both familiar and unfamiliar systems.	excellent 70% and above. Has an outstanding understanding of the course material and can analyse and design both familiar and unfamiliar high quality systems.
At the end of this module the student should (to a level indicated by exam, laboratory and assignment questions): 3. Demonstrate an understanding of the role and the concepts involved in special purpose databases such as active and deductive databases.	Has a very good understanding of the course material and can analyse and design both familiar and unfamiliar systems.	Has a good knowledge of most of the course material and can analyse and design familiar systems	Has an outstanding understanding of the course material and can analyse and design both familiar and unfamiliar high quality systems.
At the end of this module the student should (to a level indicated by exam, laboratory and assignment questions): 4. Describe methods of data mining, data quality mining and data cleansing and what insights may be gained by these methods.	Has a very good understanding of the course material and can analyse and design unfamiliar systems.	Has an outstanding understanding of the course material and can analyse and design both familiar and unfamiliar high quality systems.	Has a good knowledge of most of the course material and can analyse and design familiar systems
At the end of this module the student should (to a level indicated by exam, laboratory and assignment questions): 1. Demonstrate an understanding of knowledge management, knowledge representation and knowledge engineering.	Has a very good understanding of the course material and can demonstrate that understanding through building a non-trivial knowledge management and/or information retrieval system in Java.	Has a good knowledge of most of the course material and can analyse and design familiar systems	Has an excellent understanding of the course material and can demonstrate that understanding through building a high quality knowledge management and/or information retrieval system in Java.
At the end of this module the student should (to a level indicated by exam, laboratory and assignment questions): 2. Demonstrate an understanding of data warehouse systems.	Has an outstanding understanding of the course material and can analyse and design both familiar and unfamiliar high quality systems.	Has a very good understanding of the course material and can analyse and design both familiar and unfamiliar systems.	Has a good knowledge of most of the course material and can analyse and design familiar systems
At the end of this module the student should (to a level indicated by exam, laboratory and assignment questions): 5. Examine a given Digital Library and comment on how well-structured and/or user friendly it is.	Has an outstanding understanding of the course material and can analyse and design both familiar and unfamiliar high quality systems.	Has a good knowledge of most of the course material and can analyse and design familiar systems	Has a very good understanding of the course material and can analyse and design both familiar and unfamiliar systems.
At the end of this module the student should (to a level indicated by exam, laboratory and assignment questions): 6. Demonstrate an understanding of the information retrieval.	Has a very good understanding of the course material and can analyse and design both familiar and unfamiliar systems.	Has a good knowledge of most of the course material and can analyse and design familiar systems	Has an outstanding understanding of the course material and can analyse and design both familiar and unfamiliar high quality systems.

Type	Name	Description	Weight
	Laboratory		80.00
	OPEN BOOK TEST		20.00

		Hours
Laboratory	Up to 12 hours over 12 weeks. Also includes lab preparation and writing reports.	20
Individual Project	Assignment - build a knowledge management system or information retrieval system in Java.	20
Lecture	24 hours over 12 weeks	24
Private study	Private study: revision for exams etc.	36

• Literacy - Proficiency in reading and writing through a variety of media
• Numeracy - Proficiency in using numbers at appropriate levels of accuracy
• Computer Literacy - Proficiency in using a varied range of computer software
• Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
• Exploring - Able to investigate, research and consider alternatives
• Information retrieval - Able to access different and multiple sources of information
• Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
• Argument - Able to put forward, debate and justify an opinion or a course of action, with an individual or in a wider group setting

• Identify emerging technologies and technology trends;
• Apply underpinning concepts and ideas of engineering;
• Apply knowledge and understanding of the specialist cognate area of computer systems engineering in an international context;
• Apply knowledge and understanding of the specialist cognate area of computer systems for controlling complex systems;
• Formulate and analyse requirements and practical constraints of products, processes and services, place them in an engineering context and manage their implementation;
• Solve problems logically and systematically;
• Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions.
• Knowledge and understanding of facts, concepts, principles & theories
• Use of such knowledge in modelling and design
• Problem solving strategies
• Analyse if/how a system meets current and future requirements
• Deploy theory in design, implementation and evaluation of systems
• Knowledge of management techniques to achieve objectives
• Specify, design or construct computer-based systems
• Evaluate systems in terms of quality and trade-offs
• Deploy tools effectively
• Deploy systems to meet business goals
• Methods, techniques and tools for information modelling, management and security
• Specify, deploy, verify and maintain information systems
• Defining problems, managing design process and evaluating outcomes
• Knowledge and/or understanding of appropriate scientific and engineering principles
• Specify, deploy, verify and maintain computer-based systems
• Principles of appropriate supporting engineering and scientific disciplines

Compulsory in courses:

• I110: BSc Computer Information Systems year 2 (BSC/CIS)
• I11B: BSc Computer Information Systems (4 year with Incorp Found) year 2 (BSC/CIS1)
• IN00: BSc Computer Information Systems for Business year 2 (BSC/CISB)
• IN0B: BSc Computer Information Sys for Bus (4 year w Incorp Found) year 2 (BSC/CISB1)