Course detail
Stochastic Mechanics
FSI-RSO Acad. year: 2019/2020 Summer semester
Statistical techniques play indispensable roles in the fields of engineering disciplines, as well as in meteorology, biology and medicine. In this course we discuss the structure of probability space, characteristics of random data, probability function, correlation and spectral density functions, system identification and response, and basic engineering applications of correlation and spectral analysis.
Language of instruction
Czech
Number of ECTS credits
5
Supervisor
Learning outcomes of the course unit
Students can solve simple stochastic problems after the course. Students will have basic knowledge for following studies this field.
Prerequisites
Basic terms of mathematical statistics and probabilistic, basic theory of mechanics, theory of dynamic systems and theory of technical systems.
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes
Exam is written. Students get ahead topics. Oral exam will be in case irresolution.
Aims
The aim of course is insight into stochastic mechanic meaning in engineering and integration to modeling of technical systems. It demand: make clear of knowledge of mathematical statistics and probabilistic theory, basic features of steady and unsteady phenomena, basic features of steady random processes algebra, basic features of modeling possibilities of operative and random processes, knowledge of basic method of dynamic systems responses solving.
Specification of controlled education, way of implementation and compensation for absences
Attendance at practical training is obligatory. Accreditation requirements are attendance on the practice and good results from all courses. Teacher defines concrete requirements in first practice.
The study programmes with the given course
Programme M2A-P: Applied Sciences in Engineering, Master's
branch M-IMB: Engineering Mechanics and Biomechanics, compulsory
Programme M2A-P: Applied Sciences in Engineering, Master's
branch M-MET: Mechatronics, compulsory
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
Syllabus
Stochastic mechanics, their features in engineering and their aims
Basic terms of mathematical statistics and probabilistic
Analyse of process in the technical systems
Basic theory of dynamic systems
Steady and unsteady processes, deterministic chaos
Basic features of steady phenomena, algebra of steady processes
Models of unsteady processes and their phenomena
Correlation and spectral analysis and their features in engineering
Solving of simple stochastic problems in the time and spectral domain
Solving of simple stochastic problems in the time and spectral domain
Computer-assisted exercise
13 hours, compulsory
Teacher / Lecturer
Syllabus
Basic problems of probabilistic theory
Basic problems of probabilistic theory
Computation of steady processes features
Computation of steady processes features
Computation of statistic characteristics of simple problems
Computation of statistic characteristics of simple problems
Computation of responses characteristics for dynamics problems – passage random signal with one degree of freedom
Computation of responses characteristics for dynamics problems – passage random signal with one degree of freedom
Responses of mechanical systems with more inputs and more outputs
Responses of mechanical systems with more inputs and more outputs