Course syllabus PHD_P074_N - Methodology of Thesis (FBFS - 2020/2021 - post-graduate studies)

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Slovak University of Agriculture in Nitra
Faculty: Faculty of Biotechnology and Food Sciences
Course unit code:
Course unit title:
Methodology of Thesis
Planned types, learning activities and teaching methods:

Credits: 15
Agrobiotechnology - doctoral (required), 1. year
Agrobiotechnology - doctoral (required), 1. year
Food Resources and Biotechnology - doctoral (required), 1. year
Food Technology - doctoral (required), 1. year
Food Technology - doctoral (required), 1. year
Molecular Biology - doctoral (required), 1. year
Molecular Biology - doctoral (required), 1. year
Level of study:
Prerequisites for registration:
Assesment methods :
The preparing of the dissertation methodology. The methodology of the thesis is after submission discussed at the seminar of dissertation methodology and at branch commission of the relevant brunch of study.
For the evaluation A it is necessary to obtain at least 93 points, for B at least 86 points, for C at least 79 points, for D at least 72 points and for the evaluation E at least 64 points.
Learning outcomes of the course unit:
The student understands the dissertation topic, prepares the literature review on the dissertation theme and in collaboration with supervisor plans a methodology necessary for the solving of dissertation problematic (content and schedule). The student will be able to handle the problematic in given schedule, which is a premise for high-quality solutions dissertation topic and its successful defense.
Course contents:
The student prepares in written a dissertation methodology, which includes the following parts: an overview of the current state of the solved problems, goal of the dissertation, material and methods of work, schedule of doctoral thesis solution, expected results, bibliography.
Recommended or required reading:
1. GONDA, V. et. al. Metodika vedeckej práce. Bratislava: Vydavateľstvo EKONÓM. 2009. 252 s. ISBN 978-80-225-2797-2
2. KATUŠČÁK, D. Ako písať záverečné a kvalifikačné práce: ako písať bakalárske práce, diplomové práce, dizertačné práce. Nitra : Enigma, 2007
3. LYMAN R.O., LOUGNECKER, M.T.: An Introduction to Statistical Methods and Data Analysis. Belmont: Thomson Brooks/coce, 2010. 1296 p. ISBN 978-0-495-01758-5

Language of instruction: Slovak
Evaluation of course unit:
Assessed students in total: 63

100,0 %0 %
Name of lecturer(s):
Last modification:
17. 3. 2020
Supervisor: prof. Ing. Adriana Kolesárová, PhD. and programme supervisor

Last modification made by Ing. Martin Mastík, PhD. on 03/17/2020.

Type of output: