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Main menu for Browse IS/STAG
Courses found, count: 1
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Abbreviation unit / Course abbreviation |
Title |
Variant |
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KKY
/
MATL
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Matlab
Show course
Matlab
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2023/2024
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Course info
KKY / MATL
:
Course description
Department/Unit / Abbreviation
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KKY
/
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
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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
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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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49 / -
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0 / -
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2 / -
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Included in study average
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NO
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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 |
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 |
Yes
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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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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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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
,
XLS
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Course objectives:
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The aim of the course is to acquaint students with the software system MATLAB. In this course students learn Matlab syntax: counting with vectors, matrices and structures in interactive mode, m-script, m-functions, global variables, and vectorization. Moreover, built-in graphical means and toolboxes will be presented. Acquired knowledge will be verified by a seminar paper.
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Requirements on student
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To obtain the credit, the elaboration of seminar work is required.
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Content
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Introduction to MATLAB programming system - a platform for technical computing that integrates the means of numerical mathematics, visualization with a powerful programming language, working with vectors, matrices, structures in interactive mode. MATLAB language: m-script, m-function, global variable, vectorization. Graphical means: objects, graphical user interface, animation. Built-in math library: linear algebra, signal processing, interpolation, optimization, ordinary differential equations, overview of external libraries. The development of an individual project.
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Activities
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Link to: CourseWare:
KKY/MATL
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Link to Google Classroom: :
Předmět KKY/MATL (2023/24), jen prezenční forma, Full-time
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Link to Google Classroom: :
Rozvrhová akce KKY/MATL (2023/24, LS) - Čt 09:20-11:00, UC-452
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Link to Google Classroom: :
Rozvrhová akce KKY/MATL (2023/24, LS) - Čt 11:10-12:50, UC-452
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Link to Google Classroom: :
Rozvrhová akce KKY/MATL (2023/24, LS) - St 10:15-11:55, UC-451
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Link to Google Classroom: :
Rozvrhová akce KKY/MATL (2023/24, LS) - St 14:50-16:30, UC-452
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Link to Google Classroom: :
Rozvrhová akce KKY/MATL (2023/24, LS) - Út 09:20-11:00, UC-451
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Fields of study
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Guarantors and lecturers
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Guarantors:
Ing. Lukáš Bláha, Ph.D. (100%),
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Tutorial lecturer:
Ing. Zdeněk Bouček (100%),
Ing. Lukáš Dostálek (100%),
Ing. Jiří Faist (100%),
Ing. Václav Helma (100%),
Ing. Karel Kubíček (100%),
Ing. Jan Reitinger (100%),
Ing. Daniel Tihelka, Ph.D. (100%),
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Literature
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Recommended:
Getting Standard with Matlab (uživatelská příručka). The Mathworks, 2001.
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Recommended:
MATLAB the Language of Technical Computing. The Mathworks. (uživatelská příručka).
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Recommended:
Chipperfield A. J. - Fleming P. J. Matlab toolbox and application for control. Peter Pereginus Ltd, 1993.
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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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Undergraduate study programme term essay (20-40)
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26
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Total
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52
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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: |
disponovat základními znalostmi z lineární algebry |
disponovat základními znalostmi z matematické analýzy |
disponovat základními znalostmi z programování |
disponovat znalostmi zásad pro vypracování elaborátu |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
vysvětlit pojem vektoru a matice |
aplikovat základní maticové operace |
řešit jednoduché lineární diferenciální rovnice |
formulovat for / while cyklus, podmíněné větvení programu |
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: |
aplikovat principy práce s proměnnými v prostředí MATLAB |
využívat pravidla pro vytváření programů v jazyku MATLAB |
disponovat základními znalostmi o možnostech interpretace/vizualizace dat |
používat postupy numerického řešení úloh z oboru lineární algebry a matematické analýzy |
Skills - skills resulting from the course: |
analyzovat a algoritmizovat daný problém v MATLABu |
vytvořit elementární funkce a programy v MATLABu |
využívat dostupnou dokumentaci k řešení daných problémů |
využívat získané znalosti k vytvoření samostatné semestrální práce |
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: |
Test |
Skills - skills achieved by taking this course are verified by the following means: |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
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: |
Practicum |
Self-study of literature |
One-to-One tutorial |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Self-study of literature |
One-to-One tutorial |
Competences - the following training methods are used to achieve the required competences: |
Practicum |
Self-study of literature |
One-to-One tutorial |
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