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Main menu for Browse IS/STAG
Course info
KTE / APE
:
Course description
Department/Unit / Abbreviation
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KTE
/
APE
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Academic Year
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2019/2020
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Academic Year
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2019/2020
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Title
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Applications of PC´s in El. Engineering
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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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Long Title
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Application of PCs in El. Engineering
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Accredited / Credits
|
Yes,
3
Cred.
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Type of completion
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-
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Type of completion
|
-
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Time requirements
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Lecture
1
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
|
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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|
|
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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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13 / -
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0 / -
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3 / -
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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
|
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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Study subject is drawn to introduce students in modern vizual programmable style used for solving problems from measurements, controls and data acquisiton ranges. Vizual programming style complets programming language education and teach students express algorithm in other style. Intregral part of this education is not only theoretical style but in praxis physical interface too.
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Requirements on student
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Encompassment of themas approved by conclusion test. Encompassment of seminar work in case of low points gain.
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Content
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Visual programming in LabView. Creating code and design od application. Working with LabView compatible HW interface.
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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. Pavel Štekl, Ph.D. (100%),
-
Lecturer:
Ing. Petr Preuss, CSc. (100%),
Ing. Karel Slobodník, Ph.D. (100%),
Ing. Pavel Štekl, Ph.D. (100%),
-
Tutorial lecturer:
Ing. Karel Slobodník, Ph.D. (100%),
Ing. Pavel Štekl, Ph.D. (100%),
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Literature
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Recommended:
Hanselman, Duane; Littlefield, Bruce. Mastering MATLAB 6 : a comprehensive tutorial and reference. Upper Saddle River : Prentice Hall, 2001. ISBN 0-13-019468-9.
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Recommended:
Orvis, William J. Microsoft Excel pro vědce a inženýry. 1. vyd. Praha : Computer Press, 1996. ISBN 80-85896-49-4.
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Recommended:
Vlach, Jaroslav; Havlíček, Josef; Vlach, Martin. Začínáme s LabVIEW / Jaroslav Vlach, Josef Havlíček, Martin Vlach. 1. vyd. Praha : BEN - technická literatura, 2008. ISBN 978-80-7300-245-9.
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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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Preparation for comprehensive test (10-40)
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10
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Individual project (40)
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32
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Contact hours
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39
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Preparation for formative assessments (2-20)
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8
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Total
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89
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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: |
No particular prerequisites specified. |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
Students manage algoritmization of simples programming, measuring and data acquisition structures. They know tools and syntax for construction visual code in LabView. They know analyse and interpret acquired data from interface using LabView.
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Test |
Seminar work |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Laboratory work |
Task-based study method |
Individual study |
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