Knowledge Management (P00851)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : INF-P-KM

This module introduces the principles and techniques important to knowledge management. This includes the identifying of current or potential knowledge assets within an organisation, and the encouragement, development and distribution of that knowledge through technology and other means. In particular, within this module, students will learn about the following:

- Methods for identifying knowledge assets and for analysing their value and benefits.
- Methodological guidelines for the selection of techniques for distributing key knowledge.
- The "cognitive" and "community" approaches to knowledge management, and the types of knowledge that each approach can handle well.
- The need for multi-perspective modelling to represent different aspects of knowledge.
- Decision making and the psychology of expertise, and their implications for knowledge acquisition.
- The use of a knowledge modelling methodology to support knowledge management and knowledge engineering.
- Case studies of applications.

Entry Requirements

? Pre-requisites : This module assumes basic ideas of knowledge representation and inference (see Knowledge Representation).

? Co-requisites : None, though Knowledge Engineering is strongly recommended.

Subject Areas

Home subject area

Knowledge Representation and Reasoning, (School of Informatics, Schedule O)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : To be arranged/Unknown

? Contact Teaching Time : 3 hour(s) per week for 10 weeks

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	12:10	13:00	Central
Lecture	Thursday	12:10	13:00	Central

Summary of Intended Learning Outcomes

Students will learn principles and practical techniques for implementing knowledge management in organisations.

A greater understanding of the issues involved in capturing, modelling and reasoning with knowledge in practical settings.

Understanding of techniques and issues in knowledge modelling; understanding of the range of possible approaches to knowledge management and the reasons for them; ability to analyse an organisation and to determine a suitable knowledge management approach