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Course syllabus N400D5_4D - Dissertation Project V (FCFT - 2018/2019 - post-graduate studies)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Chemical and Food Technology
Course unit code: N400D5_4D
Course unit title: Dissertation Project V
Mode of delivery, planned learning activities and teaching methods:
project/semestral paper10 hours weekly (on-site method)

Credits allocated: 12
Recommended semester/trimester: Analytical Chemistry - doctoral (compulsory), 3. year
Biochemistry - doctoral (compulsory), 3. year
Biotechnology - doctoral (compulsory), 3. year
Conservation of Heritage Materials and Objects - doctoral (compulsory), 3. year
Environmental Chemistry and Technology - doctoral (compulsory), 3. year
Food Chemistry and Technology - doctoral (compulsory), 3. year
Chemical Engineering - doctoral (compulsory), 3. year
Chemical Engineering - doctoral (compulsory), 3. year
Chemical Physics - doctoral (compulsory), 3. year
Inorganic Chemistry - doctoral (compulsory), 3. year
Inorganic Technologies and Materials - doctoral (compulsory), 3. year
Macromolecular Chemistry - doctoral (compulsory), 3. year
Organic Chemistry - doctoral (compulsory), 3. year
Organic Technology and Technology of Fuels - doctoral (compulsory), 3. year
Physical Chemistry - doctoral (compulsory), 3. year
Process Control - doctoral (compulsory), 3. year
Technology of Polymer Materials - doctoral (compulsory), 3. year
Theoretical and Computational Chemistry - doctoral (compulsory), 3. year
Level of study: 3.
Prerequisites for registration: none
Assesment methods:
Students work on their projects related to the topic of the dissertation thesis during the semester. They draw up reports in electronic or printed form, and present the results. Students are evaluated for the project development and achievement of the aims. The evaluation is done in accordance with the study rules of the STU.
Learning outcomes of the course unit:
The students have the results obtained by research and scientific work in the art dissertation. They are able to plan and carry out experiments, to obtain relevant results, process them, analyze and evaluate. They have results in the development of methodology for dissertation, the results obtained by laboratory or simulation experiments, the results obtained by the modelling and analysis.
Course contents:
Data acquisition, processing, retrieval, analysis.
Development a methodology for the dissertation.
Experiments, calculations,modelling, analysis.
Processing of achievements.
Recommended or required reading:
Language of instruction: -- item not defined --
Courses evaluation:
Assessed students in total: 203

100,0 %0 %
Name of lecturer(s):
Last modification: 15. 2. 2019
Supervisor: doc. Ing. Milena Reháková, PhD. and programme supervisor

Last modification made by Ing. Tomáš Molnár on 02/15/2019.

Type of output: