Modiwl ICP-2225:
Knowledge Manag & Info Retriev

Ffeithiau’r Modiwl

Rhedir gan School of Computer Science and Electronic Engineering

10 Credyd neu 5 Credyd ECTS

Semester 2

Trefnydd: Dr William Teahan

Amcanion cyffredinol

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.

Cynnwys cwrs

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).

Cyswllt Canlyniad dysgu i Meini Prawf

  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.

Dulliau asesu

Math Enw Disgrifiad Pwysau
Laboratory 60
Assignment 20
OPEN BOOK TEST 20

Strategaeth addysgu a dysgu

Oriau
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

Sgiliau Trosglwyddadwy

  • Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
  • Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
  • Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
  • Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
  • Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
  • Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
  • Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
  • Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach

Sgiliau pwnc penodol

  • 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

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