Data Modelling in Engineering
Objectives
1. Knowledge: a) Base modeling concepts and their applicability to engineering. b) Becoming familiar with various modeling formalisms.
2. Know-how: a) Capacity to model small systems. b) Abstract modeling skills.
3. Non-technical skills: a) Team work. b) Time management.
General characterization
Code
7226
Credits
6.0
Responsible teacher
Luís Manuel Camarinha de Matos
Hours
Weekly - 6
Total - 84
Teaching language
Português
Prerequisites
Available soon
Bibliography
1. Course notes - L.M. Camarinha Matos
2. The essence of databases - F. D. Rolland, Prentice Hall, 1998, ISBN 0-13-727827-6
3. AI through Prolog . Neil C. Rowe, Prentice Hall, ISBN 0-13-049362-7.
4. UML for Systems Engineering: Watching the Wheels, Jon Holt , 2001, ISBN:0852961057.
Teaching method
Available soon
Evaluation method
Available soon
Subject matter
1. | INTRODUCTION | ||||||||
2. | MODELING BASED ON RELATIONAL MODEL
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3. | MODELING BASED ON LOGIC PROGRAMMING
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4. | MODELING BASED ON FRAMES
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5. | GRAPHICAL LANGUAGES
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6. | INTRODUCTION TO ONTOLOGIES |