Course detail

Automation and Digitization in Chemical Engineering

FCH-MC_ADCAcad. year: 2023/2024

Principles and advanced mathematical procedures of chemical engineering. Design of technological equipment used in the realization of chemical engineering processes in industrial processes. Simultaneous sensing and processing of process quantities in chemical engineering processes using current computer technology. Fundamentals of designing, automation and robotization in chemical and new materials production.

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.

Entry knowledge

Mathematics - fundamentals of vector, differential and integral calculus; use of EXCEL;
Physics - fundamentals of mechanics, hydrodynamics, thermodynamics and diffusion processes;
Chemical engineering of heat and mass transfer calculations.

Rules for evaluation and completion of the course

To obtain graded credit is required active participation in exercises, successful solution of assigned credit examples and oral examination of theoretical, numerical and practical knowledge of the field.
For the written part of the exam, the literature designated by the examiner can be used.
Participation on lectures and computational exercises; elaboration of individual assignments.


Advanced acquisition of principles and mathematical procedures of chemical engineering processes. Introduction to the design of technological equipment used in the implementation of these processes in industrial processes. Use of current specialized chemical engineering calculation programs. Basics of process quantities sensing in chemical engineering processes. Fundamentals of designing, automation and robotization in chemical and new materials.
Students will acquire advanced knowledge of selected Unit Operations of Thermal Processes and Diffusion Processes of Chemical Engineering which are used in the design and assessment of individual process nodes in the practice of chemical and other productions on a laboratory scale and in industrial practice. Students will be acquainted with computational methods on specialized SW on which chemical engineering processes are routinely assessed in practice. Students will be acquainted with the current possibilities of sensing and evaluation of process quantities, with the possibility of automatic control and management of chemical engineering processes, as well as with the possibilities of robotization in this area.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Robert H. Perry: Perry's Chemical Engineers' Platinum Edition, McGraw-Hill Professional, 1999 (EN)
Gavin Towler: Chemical Engineering Design, Principles, Practice and Economics of Plant and Process Design, Elsevier 2012, ISBN: 978-0-08-096659-5 (EN)
Frank Lamb: Advanced PLC Hardware & Programming: Hardware And Software Basics, Advanced Techniques & Allen-Bradley And Siemens Platforms Paperback, Automation Consulting, LLC 2019, ISBN-13 978-0578482231 (EN)

Recommended reading

Not applicable.


Classification of course in study plans

  • Programme NPCP_ECHT Master's, 1. year of study, summer semester, compulsory-optional
  • Programme NKCP_ECHT Master's, 1. year of study, summer semester, compulsory-optional
  • Programme NPCP_CHTM Master's, 1. year of study, summer semester, compulsory-optional
  • Programme NKCP_CHTM Master's, 1. year of study, summer semester, compulsory-optional

Type of course unit



13 hours, optionally

Teacher / Lecturer


The course is taught in four separate spheres:

Advanced Chemical Engineering operations:
1. Non-stationary heat conduction;
2. Kinetics of absorption processes;
3. Chemisorption;
4. Membrane processes;

Chemical engineering calculation conducted in a special SW (ChemCad, for example):
5. Calculations of fluid and gas flow;
6. Modeling of liquid-gas mass sharing;
7. Calculations of heat transfer;

Basics of designing:
8. and 9. Sorting of project level and process assignment of process variables;

Fundamentals of automation and robotization of chemical processes and production of new materials:
10. Design of automatic measurement and control of technological processes and bioprocesses;
11. Design of control systems based on artificial intelligence;
12. Design of methods of signal and image analysis, Statistical data analysis, Analysis of random dynamic processes;
13. Industry Program 4.0, Human-Robot Collaboration - HRC, collaborative technology, edge computing, cyber security.

Guided consultation in combined form of studies

26 hours, obligation not entered

Teacher / Lecturer


13 hours, compulsory

Teacher / Lecturer