COMP443 - Knowledge and Information Management

Subject Code Subject Title Credit Value Level

Pre-requisite / Co-requisite/ Exclusion Objectives

COMP443

Knowledge and Information Management 3 4 Nil

This subject provides students knowledge on:

acquisition, representation and processing of knowledge and information; concepts and applications of knowledge and information management; a class of knowledge-based systems that support decision-making activities.

Intended Learning Upon completion of the subject, students will be able to: Outcomes

(a) learn fundamental knowledge and concepts in the acquisition, representation, processing of knowledge and information;

(b) relate knowledge and information management to support decision making; (c) develop and apply the skills in real-life organizational problem solving with core methods, techniques, and tools of IT-enabled knowledge and information systems; (d) develop critical thinking and analytical skills using systematic approaches; (e) demonstrate the skills in conducting team works.

Alignment of Programme Outcomes:

This subject contributes to corresponding programme outcomes by facilitating students to

Programme Outcome 1: practice communication skills in case discussions and writing skills in project documentation;

Programme Outcome 2: identify global organizations’ best practice in knowledge and information management.

Programme Outcome 4: develop critical thinking through tutorials, lab exercises,

assignments and projects that involve solving problems.

Programme Outcome 6: understand advancements in knowledge and information systems and their impact in organizations and industry.

Programme Outcome 7: develop team spirit through group-based projects and discussions.

Programme Outcome 8c: undertake a professional application of knowledge and information tools in order to effect improvements in organizational problem contexts.

Subject Synopsis/ Indicative Syllabus

Topic

1. Introduction to knowledge and information management

Data, information and knowledge; information processing; information and knowledge society; knowledge as enterprise asset; knowledge network; difference between information and knowledge management; knowledge life cycle; knowledge acquisition, representation, storage and retrieval, transfer, application and management.

2. Knowledge and information management approaches

Schools of knowledge management: economic school, organizational school, strategic school; barrier to knowledge management; impact of culture and technology.

3. Knowledge and information acquisition and representation

Various information and knowledge acquisition techniques; different representation of information and knowledge including rules, frames, semantic networks, Bayesian networks, first order, modal and temporal logics, ontology.

5. Knowledge and information processing

Information storage, retrieval and use; knowledge storage, retrieval and use, e.g. production systems, expert systems, inference engines; knowledge transfer and exchange.

4. Knowledge-based decision support systems

The relationship between DSS and knowledge management; a class of computer-based information systems including knowledge-based systems that support decision-making activities; formulating specific knowledge and information implementation with reference to the business environment of specific organizations for decision making.

6. Knowledge management and applications

Knowledge management techniques; strategies for knowledge management; chief knowledge officer and chief information officer; enterprise information portal framework and application; content management; collaborative portal; e-business. Laboratory Experiment and Case Study:

Acquisition, representation, and processing of knowledge and information in case studies of real-life systems; use of tools such as Clementine.

Teaching/Learning Methodology

Assessment Methods in Alignment with Intended Learning Outcomes

This subject integrates lectures, seminars, tutorials, lab exercises, discussions, and projects, and assignments together. Students learn through listening, observation, and participation.

Specific assessment methods/tasks

% Intended subject learning outcomes to be weighting assessed (Please tick as appropriate)

a

Continuous assessment Examination Total

b

c

d

e

55% 45% 100 %

Explanation of the appropriateness of the assessment methods in assessing the intended learning outcomes:

The assessment items include class participation, tests, and projects. Class participation pools ideas and experiences from group, and allows everyone to participate in an interactive process. Tests give students chances to reflect on learning and experience. Projects are used to develop students’ analytic and problem solving skills.

Student Study Effort Expected

Class contact:

Lecture Tutorial/Lab

39 Hrs. 0 Hrs.

24 Hrs. 10 Hrs. 73 Hrs.

Other student study effort:

Self learning Projects

Total student study effort

Reading List and References

Reference Books:

1. R. K. Bali, N. Wickramasinghe, and B. Lehaney. Knowledge Management

Primer. Routledge, 2009. 2. E. Turban, J. E. Aronson, T. P. Liang, and R. Sharda, Decision Support

Systems and Intelligent Systems, 9th Edition, Prentice Hall, 2010. 3. D. Hislop. Knowledge Management in Organizations: A Critical Introduction.

Oxford University Press, 2009. 4. A. Zilli, E. Damiani, P. Ceravolo. Semantic Knowledge Management: An

Ontology-Based Framework. Information Science Reference, 2009. 5. Articles on knowledge, information, and decision support systems.