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Course info
KKY / MS1
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Course description
Department/Unit / Abbreviation
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KKY
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MS1
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Modelling and Simulation 1
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
3
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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28 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
Yes
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Fundamental course |
No
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Fundamental theoretical course |
Yes
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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KKY/MATL and KKY/UIM
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Courses depending on this Course
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KGM/MOD, KKY/AKSZ, KKY/SZKUI, KME/METR
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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The aim of the course is to become acquainted with fundamental knowledge of dynamic systems modeling.
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Requirements on student
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Credit prior to examination: reports during semester
Examination: commensurate knowledge of subject matter (lecture, practice)
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Content
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Continuous and discrete, dynamic and balance models. Models and generators with uncertainty. Dynamic systems simulation. Balance models iterative methods. Technical tasks models - reliability models, vibration and oscillation models, queueing system models and models for medicine.
1. Modelling and simulation, basic concepts - object , system, model.
2. Dynamic continuous models, simulation numerical methods and simulation tasks formation
3. Balance models and iterative methods of balance state computation. Hybrid models and hybrid simulation.
4. Simulation and iterative methods stability. Standardization and models similarity, equivalent models in light of input-output.
5. Uncertainty modelling, random distribution generators with acceptance of probability density and power spectral density.
6. Monte-Carlo method a hybrid Monte-Carlo. Models and simulations error analysis.
7. Vibration and oscillation models, oscillator sets with damping. Excited oscillation of rotating machines.
8. Analytical and experimental modal analysis. Computational models in MATLAB and ANSYS.
9. Discrete events models and simulation with uncertainty. Exponencial, Weibull and phase probability density functions.
10. Components reliability models. Models of entirety reliability.
11. Queueing system models.
12. Models for medicine.
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Activities
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Fields of study
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Guarantors and lecturers
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-
Guarantors:
Ing. Jindřich Liška, Ph.D. (100%),
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Lecturer:
Doc. Daniel Georgiev, PhD. (100%),
Ing. Václav Hajšman, Ph.D. (100%),
Ing. Lucie Houdová, Ph.D. (100%),
Ing. Petr Janeček, Ph.D. (100%),
Ing. Jindřich Liška, Ph.D. (100%),
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Tutorial lecturer:
Ing. Miloš Fetter (100%),
Ing. Jindřich Liška, Ph.D. (100%),
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Literature
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Basic:
Učební text
(Janeček, E.)
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Recommended:
Racek, Herout. C - SIM. Skripta ZČU, 1993.
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Recommended:
Kačer, Jaroslav. J-Sim -- a Java-based tool for discrete simulations. ASIS 2001 ISBN 80-85988-61-5 (2001), s. 135-141. 2001.
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Recommended:
Kotek, Zdeněk; Vysoký, Petr; Zdráhal, Zdeněk. Kybernetika. 2. přeprac. vyd. Praha : ČVUT, 1982.
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Recommended:
Cendelín, Jiří; Kindler, Evžen. Modelování a simulace. 1.vyd. Plzeň : ZČU, 1994. ISBN 80-7082-165-5.
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Recommended:
Kindler, Evžen. Programování v jazyce Simula. 1.vyd. Plzeň : ZČU, 1992. ISBN 80-7082-065-9.
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Recommended:
Kindler, Evžen. Programování v jazyce Simula. 1. vyd. Plzeň : ZČU, 1992. ISBN 80-7082-065-9.
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Recommended:
Zítek, Pavel. Simulace dynamických systémů : Celost. vysokošk. učebnice pro skupinu stud. oborů Strojírenství a ostatní kovodělná výroba. 1. vyd. Praha : SNTL, 1990. ISBN 80-03-00330-X.
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Recommended:
Systémy a modely
(Horáček, P.)
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Practical training (number of hours)
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26
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Contact hours
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39
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Preparation for an examination (30-60)
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51
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Preparation for comprehensive test (10-40)
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30
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Presentation preparation (report) (1-10)
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10
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Total
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156
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
charakterizovat vlastnosti a chování dynamických systémů |
využívat nástroje matematické analýzy |
formulovat a algoritmizovat řešení problému |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
aplikovat základní znalosti z oblasti lineárních systémů |
aplikovat znalosti osvojené v předmětu matematická analýza |
implementovat postupy a techniky programování výpočetní techniky |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
vymezit základní problémy v oblasti modelování a simulace dynamických systémů |
sestavit matematické modely pro konstrukci simulačních úloh |
vysvětlit přístupy k modelování periodických procesů, modelování kmitání a vibrací a modelování v úlohách s rozloženými parametry |
shrnout modelovací a simulační techniky v lékařství a inženýrské biologii |
Skills - skills resulting from the course: |
aplikovat principy modelování dynamických systémů |
provádět počítačové simulace |
aplikovat výsledky analytické a experimentální analýzy |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Individual presentation at a seminar |
Seminar work |
Skills - skills achieved by taking this course are verified by the following means: |
Combined exam |
Seminar work |
Individual presentation at a seminar |
Competences - competence achieved by taking this course are verified by the following means: |
Combined exam |
Seminar work |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture supplemented with a discussion |
Practicum |
Self-study of literature |
Skills - the following training methods are used to achieve the required skills: |
Lecture supplemented with a discussion |
Practicum |
Self-study of literature |
Competences - the following training methods are used to achieve the required competences: |
Lecture supplemented with a discussion |
Practicum |
Self-study of literature |
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