Course syllabus PHD_A145_N - Biometrics in plant production (FAaFR - 2020/2021 - post-graduate studies)

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University: Slovak University of Agriculture in Nitra
Faculty: Faculty of Agrobiology and Food Resources
Course unit code: PHD_A145_N
Course unit title:
Biometrics in plant production
Planned types, learning activities and teaching methods:
lecture
1 hour weekly / 13 hours per semester of study (on-site method)

Credits:
10
Semester: Special Plant Production - doctoral (elective), 1. year
Special Plant Production - doctoral (elective), 1. year
Agrochemistry and Plant Nutrition - doctoral (optional), 1. year
Agrochemistry and Plant Nutrition - doctoral (optional), 1. year
General Plant Production - doctoral (optional), 1. year
General Plant Production - doctoral (optional), 1. year
Plant Physiology - doctoral (optional), 1. year
Plant Physiology - doctoral (optional), 1. year
Plant Protection - doctoral (optional), 1. year
Plant Protection - doctoral (optional), 1. year
Level of study:
3.
Prerequisites for registration:
none
Assesment methods :
The term grade will consist of project preparation and presentation (30 points) and end-of-term examination (70 points).Grading scale: letter grade A requires minimum 93 points, letter grade B requires minimum 86 points, letter grade C requires minimum 79 points, letter grade D requires minimum 72 points, letter grade E requires minimum 64 points.

Learning outcomes of the course unit:
After completion of the subject the student is able to apply knowledge of plant biometrics in plant production, in planning field and lab experiments, data management. Student will be able to apply statistical software for processing and analysis of experimental data. The student is also able to interpret the results of the statistical analysis.
Course contents:
Experiments’ planning (set up the aims, hypothesis, experiments’ methods, and experimental design), collection, summarizing and analyzing of biological data and communication of results of those analyses. The application of univariate and multivariate statistical methods based on the orientation of doctoral thesis experiments.
Recommended or required reading:
Basic:
NÔŽKOVÁ, J. -- GAŽO, J. -- MIKO, M. Analýza dát v agrobiológii. 1st ed. Nitra : Slovenská poľnohospodárska univerzita, 2016. 137 p. ISBN 978-80-552-1544-0.
BALOGH, Z. -- GAŽO, J. -- MIKO, M. Biometrika v agrobiológii: učebné texty v elektronickej forme. Nitra  : Slovenská poľnohospodárska univerzita. (2013), ISBN 978-80-552-1079-7.
OBTULOVIČ, P. Bioštatistika. 4th ed. Nitra : Slovenská poľnohospodárska univerzita, 2010. 171 p. ISBN 978-80-552-0397-3.
RAŽNÁ, K. -- BEŽO, M. -- ŽIAROVSKÁ, J. Návody na cvičenia z genomiky a bioinformatiky - biologické databázy a databázové záznamy. 1st ed. Nitra : Slovenská poľnohospodárska univerzita, 2016. 72 p. ISBN 978-80-552-1479-5.
CANDRÁK, J. -- GAŽO, J. Field experimentation and biometrics. Nitra  : Slovak University of Agriculture. (2012), ISBN 978-80-552-0948-7.

Recommended:
Hendl, J. 2009. Přehled statistických metod: analýza a metaanalýza dat. Vyd. 3., přeprac. Portál : Praha, 696 s. ISBN 978-80-7367-482-3
Chajdiak, J. 2010. Štatistika jednoducho. Vyd. 3. - nezmenené, STATIS : Bratislava, 194 s. ISBN 978-80-85659-60-3
Meloun M. et al.. 2017. Statistická analýza vícerozměrných dat v příkladech. Praha: Karolinum, 757 s. ISBN 978-80-246-3618-4.
Meyers, L.S. – Gamst, G. – Guarino, A.J. 2009. Data analysis using – SAS Enterprise Guide. Cambridge University Press : New York, 378 p. ISBN-13 978-0-511-60184-2
Mount, D.V. 2001. Bioinfromatics. Sequence and genome analysis. st ed., New York : Cold Spring harbour Laboratory Press. 560 p. ISBN 290-0-879-69608-4
SAS Enterprise Guide tutorial - http://support.sas.com/documentation/onlinedoc/guide/tut71/en/menu.htm
STATISTICA - http://www.statsoft.com/Textbook

Language of instruction: Slovak, English
Notes:
Evaluation of course unit:
Assessed students in total: 17

A
BC
D
EFX
100,0 %
0 %
0 %0 %0 %
0 %
Name of lecturer(s):
prof. RNDr. Milan Bežo, CSc. (lecturer)
Ing. Ján Gažo, PhD. (examiner, instructor, lecturer)
doc. Ing. Janka Nôžková, PhD. (examiner, instructor, lecturer, person responsible for course)
prof. Ing. Katarína Ražná, PhD. (lecturer)
Last modification: 10. 1. 2020
Supervisor:
doc. Ing. Janka Nôžková, PhD. and programme supervisor


Last modification made by Gabriela Hvizdová on 01/10/2020.

Type of output: