Subject description - B3M33PIS

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B3M33PIS Industrial Information Systems
Roles:PO, PV Extent of teaching:2P+2C
Department:13133 Language of teaching:CS
Guarantors:Kadera P. Completion:Z,ZK
Lecturers:Jirkovský V., Kadera P., Macaš M. Credits:6
Tutors:Jirkovský V., Kadera P., Kurkin O., Macaš M. Semester:Z


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

Exercises outline:

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


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


Basic knowledge of relational DBMS, computer networking basics



Podniková informatika, druhy informace, procesy, systémy řízení kvality, ERP, plánování zdrojů, metodologie SSADM, IDEF0, CRM, ECM, business intelligence, data mining, řízení rizika, predikční sytémy, SCADA, ISO 9126, nefunkcionální požadavky na systémy, kapacitní plánování systému, stabilita, ISMS.

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPKYR3_2016 Systems and Control PV 3
MPKYR1_2016 Robotics PO 1
MPKYR4_2016 Aerospace Systems PV 3
MPKYR2_2016 Sensors and Instrumentation PV 3
MPKYR5_2016 Cybernetics and Robotics PV 1

Page updated 5.3.2021 17:52:09, semester: Z/2020-1, L/2021-2, L/2020-1, Z/2021-2, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)