Module ICP-2225:
Knowledge Manag & Info Retriev

Module Facts

Run by School of Computer Science and Electronic Engineering

10 Credits or 5 ECTS Credits

Semester 2

Organiser: Dr William Teahan

Overall aims and purpose

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.

Course content

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).

Learning outcomes mapped to assessment criteria

  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 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. 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 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 demonstrate that understanding through building a non-trivial knowledge management and/or information retrieval system in Java. 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.

Assessment Methods

Type Name Description Weight
Laboratory 60
Assignment 20
OPEN BOOK TEST 20

Teaching and Learning Strategy

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

Transferable skills

  • 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

Subject specific skills

  • 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

Pre- and Co-requisite Modules

Courses including this module