Course detail

Digitalization in Industry

FSI-VI4 Acad. year: 2025/2026 Summer semester

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".

Language of instruction

Czech

Number of ECTS credits

5

Supervisor

doc. Ing. Zdeněk Hadaš, Ph.D.

Department

Institute of Automation and Computer Science

Entry knowledge

The usual secondary school computer literacy is supposed.

Rules for evaluation and completion of the course

Course-unit credit is conditional on an active attendance at seminars.
The attendance at lectures is recommended while at seminars it is obligatory. Education runs according to week schedules. The form of compensation of missed seminars is fully in the competence of a tutor.

Aims

To present basic knowledge and point of view what is Industry 4.0. like the current trend of automation and data exchange in manufacturing technologies.
Students will acquire the basic knowledge what is Industry 4.0. They will gain experience with using PLC and IoT.

The study programmes with the given course

Programme B-STR-P: Engineering, Bachelor's
specialization AIŘ: Applied Computer Science and Control, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Syllabus

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

26 hours, optionally

Syllabus

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