Modeling and simulation of dynamic systems

B232 - Summer 23/24
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B161 - Winter 16/17 B171 - Winter 17/18 B181 - Winter 18/19 B191 - Winter 19/20 B201 - Winter 20/21 B211 - Winter 21/22 B221 - Winter 22/23
This is a grouped Moodle course. It consists of several separate courses that share learning materials, assignments, tests etc. Below you can see information about the individual courses that make up this Moodle course.

Modeling and simulation of dynamic systems - B3B35MSD

Main course
Student survey results
Credits 4
Semesters Winter
Completion Assessment + Examination
Language of teaching Czech
Extent of teaching 2P+2L
Annotation
No data.
Study targets
Teach students to create mathematical models of realistically complex dynamic systems found in diverse application areas and analyze these by means of numerical simulations.
Course outlines
No data.
Exercises outlines
No data.
Literature
No data.
Requirements
Solid mastering all the parts of physics (at the undergraduate level), above all mechanics, electromagnetism and thermodynamics. Familiarity with basic results from differential calculus (differential equations and their numerical solution) and linear algebra (sets of linear equations and their numerical solution). Basic concepts from automatic control (state space models, transfer functions, stability).

Modeling and simulation of dynamic systems - B3B35MSD1

Student survey results
Credits 6
Semesters Winter
Completion Assessment + Examination
Language of teaching Czech
Extent of teaching 2P+2C
Annotation
No data.
Study targets
Teach students to create mathematical models of realistically complex dynamic systems found in diverse application areas and analyze these by means of numerical simulations.
Course outlines
No data.
Exercises outlines
No data.
Literature
No data.
Requirements
Solid mastering all the parts of physics (at the undergraduate level), above all mechanics, electromagnetism and thermodynamics. Familiarity with basic results from differential calculus (differential equations and their numerical solution) and linear algebra (sets of linear equations and their numerical solution). Basic concepts from automatic control (state space models, transfer functions, stability).