Course detail

Systems Methodology

FSI-RZEAcad. year: 2019/2020

The course offers an overview of basic knowledge in these fields: theory of systems, structure of the world of technology, theory of modelling, theory of experiment, design of technical objects, theory of statistical data processing, theory of failures and limit states, theory of deterministic chaos, theory of synergetics. It offers a possibility of a comprehensive view of technical life of technical objects.

Learning outcomes of the course unit

Knowledge on structures, properties and behaviour of various systems, above all technical, on approaches and methods of solving stress-strain, stability and reliability problems of these systems, especially by computational and experimental modelling with application of statistical methods. Basic knowledge on deterministic chaos in behaviour of non-linear dynamic systems.
Students will get abilities of correct and pragmatic formulation of problems concerning technical systems, basic knowledge on the "art of modelling", on effective exploitation of various types of modelling in solving problems, and the ability of investigation of all processes in systems in the sense of the possibility of a deterministic and stochastic chaos.


Knowledge of previous courses in Mechanics (Statics, Kinematics, Dynamics), basics in programming recommended.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Habr, J., Vepřek, J.: Systémová analýza a syntéza, 1986,
Ondráček,E.,Janíček,P.: Výpočtové modely v technické praxi, , 0
Janíček,P.,Ondráček,E.: Řešení problémů modelováním, , 0
Vlček, J.: Metody systémového inženýrství, 1984
Ondráček,E.,Janíček,P.: Výpočtové modely v technické praxi, , 0
Janíček, P.: Ondráček. E.: Řešení problémů modelování, (skriptum), 1995.
Janíček, P.: Systémové pojetí vybraných oborů pro techniky, 2006
Wright I.V. Design methods in engineering and product design. McGraw-Hill, 1998 - Počet stran: 285
Dhillon, B. S. Creativity for Engineers. World Scientific Publishing Company, 2006-02-06. 204 p. ISBN: 9812565299.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline.

Assesment methods and criteria linked to learning outcomes

Graded course-unit credit. Conditions: written test (basic terms), semester project.

Language of instruction


Work placements

Not applicable.


The aim of the course is to learn a system approach for the solution of engineering tasks using computational and experimental modelling.

Specification of controlled education, way of implementation and compensation for absences

Active participation in exercises is necessary. Organization of lectures is specified by the teacher at the beginning of semester.

Classification of course in study plans

  • Programme M2A-P Master's

    branch M-IMB , 1. year of study, winter semester, 5 credits, compulsory
    branch M-MET , 1. year of study, winter semester, 5 credits, elective (voluntary)

Type of course unit



26 hours, optionally

Teacher / Lecturer


1. Science and engineering revolution in midway last century. Paradigm of holism in the problem solving. General system theory and system engineering.
2. Beginning and advancement of system approach. Forming of system methodology like methodology aided of Theory of systems. System approach (attributes of system approach).
3. System thinking, system branches, system algorithm - system conception. Specifics of hard, soft and mixed systems.
4. System terminology - definition of basic system terms.
5. Continuation of system terminology.
6. Problem situation, problem, scenario of causal problem solving. Hard and soft system - specificity of problem solution.
7. System concept of experiment.
8. System concept of modelling.
9. System concept of calculation modelling (classical, simulation, optimization, identification of objects, identification of systems.
10. System concept of limit states.
11. System concept of mathematical statistic.
12. Principles of chaos theory.
13. Principles of self-organization theory (synergism in first and second sense).