Modelling in Engineering Practice (FSI-RMV)

Academic year 2020/2021
Supervisor: doc. Ing. Tomáš Návrat, Ph.D.  
Supervising institute: ÚMTMB all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
The aim of the course is to learn a system approach for the solution of engineering tasks using computational and experimental modelling.
Learning outcomes and competences:
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.
Prerequisites:
Knowledge of previous courses in Mechanics (Statics, Kinematics, Dynamics), basics in programming recommended.
Course contents:
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.
Teaching methods and criteria:
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.
Controlled participation in lessons:
Active participation in exercises is necessary. Organization of lectures is specified by the teacher at the beginning of semester.
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
Course curriculum:
    Lecture 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).
Literature - fundamental:
1. Janíček, P.: Systémové pojetí vybraných oborů pro techniky, 2006
2. Wright I.V. Design methods in engineering and product design. McGraw-Hill, 1998 - Počet stran: 285
3. Dhillon, B. S. Creativity for Engineers. World Scientific Publishing Company, 2006-02-06. 204 p. ISBN: 9812565299.
Literature - recommended:
1. Janíček, P.: Ondráček. E.: Řešení problémů modelování, (skriptum), 1995.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
N-IMB-P full-time study IME Engineering Mechanics -- GCr 4 Compulsory 2 1 W
N-IMB-P full-time study BIO Biomechanics -- GCr 4 Compulsory 2 1 W