Digitalization in Industry (FSI-VI4)

Academic year 2025/2026
Supervisor: doc. Ing. Zdeněk Hadaš, Ph.D.  
Supervising institute: ÚAI all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
 
Learning outcomes and competences:
 
Prerequisites:
 
Course contents:

Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing. Industry 4.0 creates what has been called a "smart factory".
Teaching methods and criteria:
 
Assesment methods and criteria linked to learning outcomes:
 
Controlled participation in lessons:
 
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
    Computer-assisted exercise  13 × 2 hrs. optionally                  
Course curriculum:
    Lecture

A. Evolution of industry and the concept of Industry 4.0, Cyber-physical systems and advancet information technologies
B. Reference model RAMI 4.0
C. The Internet of things (IoT), Recent advances in ICT and Industry 4.0 - digital twin
D. Industrial and cooperative autonomous robots, safety, additive manufacturing, artificial inteligence, cyber security, monitoring and diagnostics
E. Invited lecture by expert from Industry 4.0
    Computer-assisted exercise

The aim of the labs is to introduce students to practical part of the course above all using selected PLC and IoT technologies.



  • cyber-physical systems

  • Internet of Things (IoT) for sensing

  • digital twin

  • AI applications

  • robotic simulation systems

  • PLC and applications
Literature - fundamental:
1. HANKEL, M.: Industrie 4.0: The Reference Architectural Model Industrie 4.0 (RAMI 4.0). ZVEI, Frankfurt am Main, 2015
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
B-STR-P full-time study AIŘ Applied Computer Science and Control -- GCr 5 Compulsory 1 3 S