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Course info
KME / MATL
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Course description
Department/Unit / Abbreviation
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KME
/
MATL
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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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Matlab Modelling
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Form of course completion
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Pre-Exam Credit
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Form of course completion
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Pre-Exam Credit
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Accredited / Credits
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Yes,
2
Cred.
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Type of completion
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-
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Type of completion
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-
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Time requirements
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Tutorial
2
[Hours/Week]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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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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NO
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Language of instruction
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Czech, English
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Occ/max
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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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0 / -
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0 / -
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0 / -
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Included in study average
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NO
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Winter semester
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7 / -
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21 / -
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9 / -
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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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Winter semester
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Semester taught
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Winter 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, English
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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 |
S|N |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
S|N |
Substituted course
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None
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Preclusive courses
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KME/MVS
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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Meet the use of computer technology for technical tasks solution.
Understand algorithm development for technical tasks solution.
Comprehend exploitation of mathematical methods and their implementation for technical tasks solution.
Implement technical tasks solution in the MATLAB computational environment.
Determine suitable methods for technical tasks solution.
Evaluate correctness and quality of computational results.
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Requirements on student
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Written test.
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Content
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MATLAB environment and programming language. Visualisation of planar and spatial curves and surfaces. Graphical user interface. MATLAB as a tool for numerical and symbolical solution of linear algebra and mathematical analysis problems. Polynomials. Approximation and interpolation of functions. Solution of initial value problems described by ordinary differential equations. MATLAB as a tool for statistical data evaluation and optimization. Problems of equilibrium and motion of a mass point.
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Activities
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Fields of study
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https://www.kme.zcu.cz/pro-studenty/modernizace-vyuky-ve-vybranych-predmetech-garantovanych-na-katedre-mechaniky-fav-zcu-v-plzni/modernizace-vyuky-predmetu-modelovani-matlabem-kme-matl
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Guarantors and lecturers
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-
Guarantors:
Doc. Ing. Luděk Hynčík, Ph.D. (100%),
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Tutorial lecturer:
Ing. Radek Bulín, Ph.D. (100%),
Ing. Štěpán Dyk, Ph.D. (100%),
Ing. Libor Lobovský, Ph.D. (100%),
Ing. Luboš Smolík, Ph.D. (100%),
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Literature
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Basic:
Balda, Miroslav. Úvod do MATLABu. 1. vyd. Plzeň : ZČU, 1995. ISBN 80-7082-206-6.
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Recommended:
Stejskal, Vladimír; Okrouhlík, Miloslav. Kmitání s Matlabem. Vyd. 1. Praha : Vydavatelství ČVUT, 2002. ISBN 80-01-02435-0.
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Recommended:
Heringová, B. - Hora, P. MATLAB 5.0, I. díl. Skripta ZČU Plzeň, 1994.
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Recommended:
Heringová, B. - Hora, P. MATLAB 5.0, II. díl. Skripta ZČU Plzeň, 1994.
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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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Contact hours
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26
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Preparation for comprehensive test (10-40)
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20
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Undergraduate study programme term essay (20-40)
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8
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Total
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54
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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: |
orientovat se v základních numerických metodách pro řešení úloh technické praxe |
převést řešení technického problému na algoritmus na sebe navazujících dílčích kroků |
vysvětlit rozdíly v pojmech kinematika, statika a dynamika hmotného bodu |
využít odborné znalosti v anglickém jazyce |
znát základy lineární algebry (maticový počet) a pracovat s polynomy a matematickými funkcemi |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
navrhnout algoritmus vhodný pro řešení technického problému |
pracovat s maticemi, polynomy a spojitými funkcemi |
vyřešit jednoduché obyčejné diferenciální rovnice |
vyřešit jednoduché úlohy ze statiky, kinematiky a dynamiky hmotného bodu |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
analyzovat výsledky získané numerickým řešením |
orientovat se v nástrojích výpočetního prostředí MATLAB |
srozumitelně vysvětlit výhody programovacího jazyka výpočetního prostředí MATLAB |
znát syntaxi programovacího jazyku výpočetního prostředí MATLAB |
Skills - skills resulting from the course: |
implementovat algoritmus ve výpočetním prostředí MATLAB |
na základě znalosti syntaxe a stávajících funkcí a nástrojů programovacího jazyka výpočetního prostředí MATLAB sestavit vlastní uživatelské funkce |
optimálně využít výhody syntaxe programovacího jazyka výpočetního prostředí MATLAB |
srozumitelně prezentovat výsledky získané numerickým řešením |
využít nástroje výpočetního prostředí MATLAB pro analýzu výsledků řešených úloh |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Written exam |
Skills - skills achieved by taking this course are verified by the following means: |
Written exam |
Competences - competence achieved by taking this course are verified by the following means: |
Written exam |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Practicum |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Competences - the following training methods are used to achieve the required competences: |
Practicum |
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