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Industrial Information Systems

The course is not on the list Without time-table
Code Completion Credits Range Language
B3M33PIS Z,ZK 6 2P+2C Czech
The course cannot be taken simultaneously with:
Industrial Information Systems (AE0M33PIS)
Industrial Information Systems (A0M33PIS)
Industrial Information Systems (BE3M33PIS)
Garant předmětu:
Department of Cybernetics

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.


Basic knowledge of relational DBMS, computer networking basics

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:

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.

Study materials:

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

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2023-03-30
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