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Lecturer(s)
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Course content
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In third part, students learn how to evaluate and interpret the data, statistical analysis.
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Learning activities and teaching methods
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Dialogic Lecture (Discussion, Dialog, Brainstorming)
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Learning outcomes
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Student requirements Discussions on Master Thesis - supervision, progress, data analysis and interpretation.
Student should be able to (after attending the course): - apply the knowledge he/she obtained during the study - write a good literature recherché on given topic - make an outline of the Thesis - select appropriate methodology for the study - debate properly own results with Publisher ones - write a Thesis, scientfici presentation (poster, lecture), scientific paper
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Prerequisites
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unspecified
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Assessment methods and criteria
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Dialog
Discussions on Master Thesis - supervision, progress, data analysis and interpretation.
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Recommended literature
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Dle zvoleného tématu u vedoucího práce .
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