CTU FEE Moodle
Industrial Information Systems
B232 - Summer 23/24
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Industrial Information Systems - B3M33PIS
| Credits | 6 |
| Semesters | Winter |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2C |
Annotation
The aim of this course is to provide students with the necessary set of skills essential for the design and management of modern production systems. In the first part of the course, the students will learn about methods of modeling and simulation of discrete production systems. Students will then gain insight into methods for data analysis to optimize the production as well as into methods for process mining. The final part of the course deals with methods of data and knowledge modeling, which are necessary for explicit capture and machine utilization of information and knowledge about production.
Study targets
The goal of the sourse is to introduce the information systems used in the industry, with principles of designing data models and with new trends comming form the industrial practice.
Course outlines
1. Models of discrete event systems
2. Petri nets
3. Analysis of Petri nets
4. Timed Petri Nets
5. Performance models
6. Software tools for modeling discrete production
7. Data analysis of production
8. Process mining
9. Introduction to semantics
10. Ontologies
11. OWL and SPARQL
12. Semantic reasoning
13. Description logic
14. Reserve
2. Petri nets
3. Analysis of Petri nets
4. Timed Petri Nets
5. Performance models
6. Software tools for modeling discrete production
7. Data analysis of production
8. Process mining
9. Introduction to semantics
10. Ontologies
11. OWL and SPARQL
12. Semantic reasoning
13. Description logic
14. Reserve
Exercises outlines
1. Plant Simulation
2. Assignment #1
3. Semantic Web Technologies
4. Assignment #2 - Semester project from SWT
5. System for ontology matching
6. Homework 1 - Semantics Assignment
7. Final Test
2. Assignment #1
3. Semantic Web Technologies
4. Assignment #2 - Semester project from SWT
5. System for ontology matching
6. Homework 1 - Semantics Assignment
7. Final Test
Literature
Cassandras, C.,G.; Lafortune, S. (2008): Introduction to Discrete Event Systems
F. Baader, The description logic handbook: theory, implementation, and applications, 2nd ed. Cambridge: Cambridge University Press, 2007
R. Brachman and H. J. Levesque, Knowledge Representation and Reasoning, Morgan Kaufmann, 2004
F. Baader, The description logic handbook: theory, implementation, and applications, 2nd ed. Cambridge: Cambridge University Press, 2007
R. Brachman and H. J. Levesque, Knowledge Representation and Reasoning, Morgan Kaufmann, 2004
Requirements
Basic knowledge of relational DBMS, computer networking basics