Nov 18, 2019   2:32 a.m.      Eugen        
University information system

Course syllabus MIAX10004 - Process Management (FI - SS 2019/2020)


     Information sheet          


     Slovak          English          


University: Pan-european University
Faculty: Faculty of Informatics
Course unit code: MIAX10004
Course unit title: Process Management
Planned learning activities and teaching methods:
workshop2 hours weekly / 24 hours per semester of study (on-site method)

Credits allocated: 6
Recommended semester/trimester: 1
 
Level of study: 2.
Prerequisites for registration: none
 
Assessment methods:
1. Successfully solve project tasks.
2. Successful completion of written and oral exams
 
Learning outcomes of the course unit:
The aim of the course is to familiarize students with basic and advanced methods of process control. The subject has a theoretical and practical character. In the course of teaching, students will learn to model, simulate, control and optimize in technical and non-technical applications. For practical tasks of control for production processes, students will learn to configure HW and SW resources to optimize process control activities to achieve high quality, minimize energy and protect the environment. By completing the course, students will acquire the skills that will enable them to employ in industrial applications, manufacturing enterprises, healthcare, services, etc.
 
Course contents:
1.Architectures and structures of process control.
2.Classification of process control.
3. Mathematical models of processes, identification of model parameters for process control.
4.Architectures and structures of an automated control processes.
5.Centralized and decentralized control structures. Advantages, comparing the application.
6. Methodology and principles of integrated production process control. Cyber-physical processes.
7.Methods and algorithms for control of continuous and discrete processes.
8. Digitization of controlled processes. PLC and PID process control algorithms.
9.SW and HW modules for modeling and simulation of control processes.
10.Methods and algorithms for optimization of control processes.
11. Intelligent methods and algorithms for process control.
12.Industry 4.0. Industrial IoT, Big Data and Cloud for Process Control.
 
Recommended or required reading:
Basic:
KOZÁK, Š. Moderné melódy a algoritmy riadenia. Bratislava: STU FEI, 2016. 281 p. ISBN 978-80-89597-44-4.

 
Language of instruction: Slovak, English
 
Notes:
 
Courses evaluation:
Assessed students in total: 115

ABCDEFX
19,1 %21,7 %24,3 %17,4 %14,8 %2,7 %
 
Name of lecturer(s): Ing. Norbert Hodža (instructor)
prof. Ing. Štefan Kozák, PhD. (examiner, instructor, lecturer, person responsible for course)
Last modification: 11. 6. 2019
Supervisor: prof. Ing. Štefan Kozák, PhD.


Last modification made by Ján Lukáš on 06/11/2019.

Type of output: