IDENTIFYING DATA 2014_15
Subject (*) KNOWLEDGE MANAGEMENT Code 17012211
Study programme
Computer engineering (1997)
 Cycle 2nd
Descriptors Credits Theory credits Practical credits Type Year Period
6 6 0 Optional 1Q
Language
Anglès
Department Enginyeria Informàtica i Matemàtiques
Coordinator
RIAÑO RAMOS, DAVID
 E-mail david.riano@urv.cat
Lecturers
RIAÑO RAMOS, DAVID
Web
General description and relevant information The objective is to introduce the student in the world of knowledge management, the methodologies, the techniques and the tools to capture, to validate and to use knowledge. Among these techniques, we will put special attention in some ones coming from the area of Data Mining. These are useful to take conclusions from the intelligent analysis of the data and, therefore, as a support to decision making.
In this subject you only have the right to make the exam, because the degree you are studying is going to be extinguished. You have to take a look the timetable of the subject to know the exam's date. If you need an extraordinary exam session, you have to enrol for this, presenting an application to the secretariat of your campus or faculty.

Continguts
Topic Sub-topic
Introduction to Knowledge Management Description and Objectives
Knowledge Management Model
Data, Information, Knowledge, etc.
Sorts of Knowledge and Representations
Knowledge Engineering
First and Second Knowledge Management Generations A Brief History of Computer-Based Knowledge Management
First Generation Knowledge Management
a) Knowledge Repositories
b) Document Management
c) Data Mining
Second Generation Knowledge Management
a) The Knowledge Life Cycle
b) Knowledge Audit
c) Knowledge Maps
Knowledge Representation Standards Ontologies
Introduction to CommonKADS
Introduction to Protege
Other tools
Knowledge in the Web: HTML, XML, RDF, OWL
Semantic Web
Techniques and tools for Knowledge Management Scope of the Techniques and Tools
Information Retrieval Techniques and Tools
Artificial Intelligence Techniques and Tools
Other Techniques and Tools
Introduction to Data Mining Data mining in KDD and in Knowledge Management
Modeling Structures
Algorithms for Data Mining
Validation processes
Data Mining tools

Atenció personalitzada
Description
To make the follow up of the subject, but more concretely to ease making the practical works the lecturer will provide the students with 6h of personal assistance out of the regular classes.

Avaluació
 
Other comments and second exam session

The subject can be approved in second call.

Fonts d'informació
Basic Riaño, D., Apunts del curs, moodle, anualment
Liebowitz, J., Knowledge Management, CRC Press, 2001
Davenport, T.H., Prusak L., Working Knowledge, Harvard Business School Press, 2000

Complementary Liebowitz, J., Knowledge Management Handbook, Knowledge Management Handbook, 1999
McElroy, M.W., The New knowledge management, Butterworth-Heinemann, 2003

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.