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Course detail
FSI-R3DAcad. year: 2026/2027
The students will have a basic knowledge of nonlinear and stochastic models of engineering systems and its operation and responses. They will be able to calculate a typical linearized model of these systems. They will be able to solve practical problems that can be modelled in this way.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
The course-unit credit is granted under the condition of active participation in seminars and gain at least 20 points of 40. The gained points from the exercise is part of the final classification of the subject. Final examination: The exam is divided into two parts. The evaluation of the exam is based on the classifications of each part. If one of the parts is graded F, the final grade of the exam is F. The content of the first part is a test, of which a maximum of 20 points can be obtained. The content of the second part is a solution of typical presented problems. It is possible to gain up to 40 points from this part. The form of the exam, types, number of examples or questions and details of the evaluation will be given by the lecturer during the semester. The final evaluation is given by the sum of the points gained from the exercises and exam. To successfully complete the course, it is necessary to obtain at least 50 points, where the maximum of 100 ECTS points can be reached.
Attendance at practical training is obligatory. Head of seminars carry out continuous monitoring of student's presence, their activities and basic knowledge. One absence can be compensated for by elaboration of substitute tasks
Aims
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
specialization IME , 1 year of study, summer semester, compulsory, profile core coursesspecialization BIO , 1 year of study, summer semester, compulsory, profile core courses
Lecture
Teacher / Lecturer
Syllabus
Computer-assisted exercise
- Linear vs. nonlinear models- Stability of dynamic systems- Linearizing at an operating point- Numeric solution of nonlinear system response- Phase diagrams and attractors- Self excited oscillations- Bifurcation and chaos