Code |
|
A7 |
Conèixer productes tecnològics i tendències de la tecnologia, associats al segment del mercat. |
A15 |
Gestionar i administrar sistemes informàtics. |
A19 |
Analitzar, dissenyar i desenvolupar sistemes robotitzats i intel·ligents. |
A20 |
Aplicar els coneixements d'enginyeria informàtica a l'entorn econòmic-empresarial. |
B1 |
Learning to learn |
B2 |
Resoldre problemes de forma efectiva. |
B3 |
Aplicar pensament crític, lògic i creatiu. |
B5 |
Treballar de forma col·laborativa. |
B9 |
Planificació i organització. |
B11 |
Motivació per la qualitat. |
B12 |
Presa de decisions. |
B13 |
Capacitat innovadora, emprenedora i d'adaptació a les noves situacions. |
B14 |
Capacitat d'anàlisi i síntesi. |
B15 |
Gestió del coneixement. |
C1 |
Dominar l'expressió i la comprensió d'un idioma estranger. |
C2 |
Utilitzar com a usuari les eines bàsiques en TIC. |
C4 |
Moure's amb facilitat per l'espai europeu i per la resta del món. |
Objectives |
Competences |
Learn important aspects of knowledge management. |
A7 A20
|
B9 B11 B12 B13 B15
|
|
Learn current models to represent knowledge. |
A19 A20
|
B1 B2 B3
|
|
Use of techniques and tools of knowledge management. |
A15
|
B11 B12 B13
|
|
Know how to use data mining to manage knowledge. |
A19
|
B12
|
C1
|
Become familiar with the practical use of a tool for knowledge management. |
A20
|
B3 B5 B9 B12 B14 B15
|
C2 C4
|
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
|
Methodologies :: Tests |
|
Competences |
(*) Class hours |
Hours outside the classroom |
(**) Total hours |
Introductory activities |
|
1 |
0 |
1 |
|
Lecture |
|
29 |
50.75 |
79.75 |
Problem solving, classroom exercises |
|
22.5 |
22.5 |
45 |
|
Personal tuition |
|
2 |
0 |
2 |
|
Objective short-answer tests |
|
7.5 |
15 |
22.5 |
|
(*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
|
Description |
Introductory activities |
Presentació dels professors. Presentació dels objectius de l’assignatura, dels continguts, la metodologia docent, forma d’avaluació i material de referència a utilitzar durant el curs. |
Lecture |
El professor explicarà els continguts bàsics de l’assignatura amb exemples. Posant a disposició de l’alumne tot el material que necessiti per a l’estudi de la matèria. |
Problem solving, classroom exercises |
En equips s’estudiarà una eina per a la gestió del coneixement amb la qual es farà un treball pràctic. Caldrà lliurar el resultat del treball al professor. |
Personal tuition |
Sis hores de consulta setmanals a disposició de l'alumne. |
|
Personal tuition |
Problem solving, classroom exercises |
|
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.
|
|
|
Description |
Weight |
Problem solving, classroom exercises |
During the course several partial tests will be done. |
50% |
Objective short-answer tests |
Objective tests that periodically and during 30min-1h will question several topics of the subject. The final test will take 2h and it will evaluate all the contents of the course (it will count triple of ordinary tests).
|
50% |
|
Other comments and second exam session |
The subject can be approved in second call. |
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
|
|
Subjects that are recommended to be taken simultaneously |
VISUALITZACIÓ CIENTÍFICA/17012209 | ARTIFICIAL INTELLIGENCE II/17012008 |
|
Subjects that it is recommended to have taken before |
ARTIFICIAL INTELLIGENCE I/17012004 |
|
(*)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. |
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