Course syllabus ZPED - Experimental data processing (FA - WS 2020/2021)


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Course code:
ZPED
Course title in Czech:
Experimental data processing
Course title in English:
Experimental data processing
Semester: WS 2020/2021
Mode of completion and number of credits:
Fulfillment of requirements (4 credits)
Mode of delivery and timetabled classes:
full-time, 1/2 (hours of lectures per week / hours of seminars per week)
Level of course:
bachelor
Course type: optional
Type of delivery: usual
Mode of delivery for our mobility students abroad:
-- item not defined --
Language of instruction:
Czech
Course supervisor:
Course supervising department: Department of Technology and Automobile Transport (FA)
Faculty: Faculty of AgriSciences
Teachers:
doc. Ing. Vojtěch Kumbár, Ph.D. (examiner, instructor, lecturer, supervisor, tutor)
Ing. Adam Polcar, Ph.D. (instructor, lecturer)
Prerequisites:
none
 
Timetable in this semester:
-- item not defined --
 
Aim of the course and learning outcomes:
The main goal of this subject deals with the precise preparation and execution of experiments using classic and modern measuring instruments, with data analysis, data clearing from erroneous values, data processing in tables and graphs, and the basic statical processing. Learning outcomes of the course student will apply during the laboratory and field experiments, and with elaboration of semestral works and thesis.
 
Course content:
1.
Introduction to physico-technical measurements (allowance 2/4)
2.
Preparation of the experiment (allowance 2/4)
3.
Retrieving experimental data (allowance 2/4)
4.
Processing of experimental data (allowance 4/8)
5.
Graph Theory (allowance 2/4)
6.
Practical part of the subject (allowance 2/4)
Learning activities and teaching methods:
Type of teaching methodDaily attendance
lecture
14 h
practice28 h
consultation
8 h
preparation for exam
8 h
preparation of presentation
6 h
elaboration of reports
12 h
writing of seminar paper36 h
Total
112 h
 
Assessment methods:
Subject is completed with a credit for attendance and semestral work.
 
Assessment criteria ratio:
Requirement type
Daily attendance
Total
0 %
 
Recomended reading and other learning resources:
Basic:
VYBÍRAL, B. Zpracování dat fyzikálních měření. Hradec Králové: MAFY, 2002. 72 p.
KUMBÁR, V. -- BARTOŇ, S. -- KŘIVÁNEK, I. Fyzikální praktikum. Brno: Mendelova univerzita v Brně, 2015. 110 p. ISBN 978-80-7509-335-6.
MELOUN, M. -- MILITKÝ, J. Kompendium statistického zpracování dat. 3rd ed. Praha: Karolinum, 2012. 982 p. ISBN 978-80-246-2196-8.
JANČÍK, J. -- VOLF, J. Technická měření. Praha: ČVUT, 2000. 212 p. ISBN 80-01-02138-6.
FABIAN, F. -- KLUIBER, Z. Fyzika a pravděpodobnost. Praha: ARSCI, 2005. 67 p. ISBN 80-86078-52-3.

Course listed in study plans for this semester:
-- item not defined --
 
Course listed in previous semesters:
 (and older)
Teaching place:
Brno


Last modification made by Ing. Michal Karhánek on 05/19/2020.

Type of output: