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Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE Teachers: Full Professor Svetlana Stanišić, PhD; Research Associate Andreja Stojić, PhD; Full Professor Spasić Slađana, PhD Course Status: COMPULSORY ECST Value: 10 Prerequisite: / Course Goals and Objectives The objective of the course is to master advanced statistical approaches, artificial intelligence (AI) implemented methods in machine learning algorithms (ML), and explainable artificial intelligence methods (xAI), which enable sophisticated data analysis and understanding the complexity of factors which shape environmental phenomena and environmental processes. Course Outcomes It is expected that students will be trained for independent research, selection and application of advanced statistical methods and machine learning algorithms, as well as to critically analyze, interpret and explain the obtained results, which will enable them to provide relevant scientific information gain and to understand the analyzed phenomena and complexity processes in the environment. Course Content Theory Process interrelations in the environment. The complexity of the environmental phenomena, individual and combined environmental factors and their interactions. Databases. Programming languages Python and R. Data processing. Advanced methods of data analysis for description and representation of environmental phenomena. Analysis of time series and spatial data. Advanced Machine Learning Algorithms. Image analysis. Methods for interpreting machine learning models explainable artificial intelligence. Analysis of the connection and interaction of environmental factors. Advanced presentations of modeling results. Primary and Secondary Sources Selection 1. McElreath, R., 2018. Statistical rethinking: A Bayesian course with examples in R and Stan. Chapman and Hall/CRC. 2. Ramasubramanian, K., Singh, A. 2019. Machine learning using R, Apress. 3. Mathur, P. 2019. Machine learning applications using Python, Apress. 4. Witten, I.H., Frank, E., Hall, M.A. and Pal, C.J., 2016. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann. 5. Stojić, A., Vuković, G., Perišić, M., Stanišić, S. and Šoštarić, A., 2018. Urban air pollution: an insight into its complex aspects. In: A Closer Look at Urban Areas, Editor: Sahar Romero, Nova Science Publishers, NY, USA, ISBN: 978-1-63485-375-0. pp. 69-123. Active Teaching Hours Theory: 5 (75) Study research work: Applicable Teaching Methods: Lectures, simulations, mid-term tests. Grading Scheme (max. 100 points) Pre-exam Requirements Points Final Exam Points Attendance and in-class Activity 10 Oral part 50 Mid-term Exams 40 Total 50 Total 50

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Page 1: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Table 5.1. Course specification in the doctoral studies study programme

Course Title: ENVIRONMENTAL DATA SCIENCE

Teachers: Full Professor Svetlana Stanišić, PhD; Research Associate Andreja Stojić, PhD; Full Professor

Spasić Slađana, PhD

Course Status: COMPULSORY

ECST Value: 10

Prerequisite: /

Course Goals and Objectives

The objective of the course is to master advanced statistical approaches, artificial intelligence (AI) implemented

methods in machine learning algorithms (ML), and explainable artificial intelligence methods (xAI), which enable

sophisticated data analysis and understanding the complexity of factors which shape environmental phenomena and

environmental processes.

Course Outcomes

It is expected that students will be trained for independent research, selection and application of advanced statistical

methods and machine learning algorithms, as well as to critically analyze, interpret and explain the obtained results,

which will enable them to provide relevant scientific information gain and to understand the analyzed phenomena

and complexity processes in the environment.

Course Content

Theory

Process interrelations in the environment. The complexity of the environmental phenomena, individual and

combined environmental factors and their interactions. Databases. Programming languages Python and R. Data

processing. Advanced methods of data analysis for description and representation of environmental phenomena.

Analysis of time series and spatial data. Advanced Machine Learning Algorithms. Image analysis. Methods for

interpreting machine learning models – explainable artificial intelligence. Analysis of the connection and interaction

of environmental factors. Advanced presentations of modeling results.

Primary and Secondary Sources Selection

1. McElreath, R., 2018. Statistical rethinking: A Bayesian course with examples in R and Stan. Chapman and

Hall/CRC.

2. Ramasubramanian, K., Singh, A. 2019. Machine learning using R, Apress.

3. Mathur, P. 2019. Machine learning applications using Python, Apress.

4. Witten, I.H., Frank, E., Hall, M.A. and Pal, C.J., 2016. Data Mining: Practical machine learning tools and

techniques. Morgan Kaufmann.

5. Stojić, A., Vuković, G., Perišić, M., Stanišić, S. and Šoštarić, A., 2018. Urban air pollution: an insight into its

complex aspects. In: A Closer Look at Urban Areas, Editor: Sahar Romero, Nova Science Publishers, NY, USA,

ISBN: 978-1-63485-375-0. pp. 69-123.

Active Teaching Hours Theory: 5 (75) Study research work:

Applicable Teaching Methods:

Lectures, simulations, mid-term tests.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final Exam Points

Attendance and in-class Activity 10 Oral part 50

Mid-term Exams 40

Total 50 Total 50

Page 2: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: ENVIRONMENT AND SUSTAINABLE DEVELOPMENT

Teacher: Emeritus Professor Dragan Marković, PhD; Principal research fellow, Dragi Antonijević, PhD

Course Status: Mandatory

ECST Value: 10

Prerequisite: /

Course Goals and Objectives

Acquiring knowledge of the overall state of the environment and processes of its degradation and contamination. Identification and

interpretation of natural and anthropogenic causes and the consequence of reducing the quality of the environment and connecting

with the concept of sustainable development. Encouraging a creative and sustainable approach in all aspects of anthropogenic

activities that lead or could lead to pollution of the environment.

Course Outcomes

Students are qualified for interpreting the results, correlation the causes and consequences of various pollutants presence in the

environment. Students develop an approach and acquire skills to create possible solutions in the field of environmental protection and

improving the quality of the environment. Students are able to assess the state of the environment and analyze the vulnerability of

natural space to anthropogenic activity, as well as to plan a sustainable development strategy for the purpose of protecting the

environment and its resources.

Course Content

Theory

The fundamental natural principles and processes in all environment media. Interaction of anthropogenic factors and elements of the

environment. Ecological problems: the causes of the occurrence and the possibility of preventive action. Natural risks and types of

passive and active protection. Causes of climate change and their outcomes. Causes of ecosystem degradation and pollution

monitoring - air, water and soil. Analysis, characterization and quantification of pollutants in the environment. Monitoring in the

environment, importance of institutions in the field of monitoring. Concept of environmental sustainability: importance, approach and

implementation in practice.

Study research work

Analysis of results obtained from institutions in field of ecology / environmental protection (water, air, land, biological materials,

noise, ionizing and non-ionizing radiation), creation of sustainability strategies related to specific examples of degraded resources and

environmental pollution (air, land, water resources, industrial waste).

Bibliography

1. N.A. Anjum et al. (eds.), Enhancing Cleanup of Environmental Pollutants, DOI 10.1007/978-3-319-55426-6_5. Springer

International Publishing AG, 2017.

2. Anil K. Gupta Sreeja S. Nair: Ecosystem Approach to Disaster Risk Reduction, 2012.

3. Lawrence R. Walker Joe Walker Richard J. Hobbs, Eds: Linking Restoration and Ecological Succession, Springer

Science+Business Media, LLC, 2007.

4. Good Laboratory Practice, OECD Principles and Guidance for Compliance Monitoring, OECD Publishing, 2009.

5. D. N. Boehnike, R. Del Delumyea, Laboratory Experiments in Environmental Chemistry, Prentice Hall, 2009.

6. F.M. Dunnivant, Laboratory Exercises for Instrumental Analysis, John Wiley and Sons, 2004.

7. R. N. Reeve, Introduction to Environmental Analysis, John Wiley and Sons, 2002.

8. J. R. Dean, Methods for Environmental Trace Analysis, John Wiley and Sons, 2003.

9. Air sampling instruments for evaluation of atmospheric contaminants, ACGH, Cincinnati, Ohio, 1995.

Active Teaching Hours Theory: 7 (105) Study research work:

Applicable Teaching Methods

Lectures, term papers, interactive workshop and discussion, oral exam.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam (oral) 30

Practice 20

Term paper 40

Page 3: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: STUDY RESEARCH WORK 1

Teacher: Selected teacher - Mentor

Course Status: Compulsory

ECST Value: 10

Prerequisite: / All subjects from the first semester passed

Course Goals and Objectives: Study research work is the act of examining candidates for doctoral studies and the first

important verification statement that the candidate works in agreement with the mentor. Study research represents work on

projects that include practical problems and finalization of a part of knowledge from previously mastered subjects. The

research work examines the candidate's autonomy in order to perform more complex and comprehensive analysis of a

particular problem.

Course Outcomes

Conducting study research work, the candidate is able to learn, formulate and process a scientific research problem, respecting

the general theoretical and methodological frameworks of scientific research work. The candidate is qualified for:

Application of acquired knowledge in solving real problems

Independent research work in the field of environmental protection and sustainable development

Presentation of the results

Course Content

Study research work is the independent work of the candidate which relies on the coordinated work of candidates and mentors.

The mentor supervises the candidate in his work and provides him with assistance in the entire process involving:

Selection of the topic of work

Formulating the titles of work

Set the goal, the subject of work, methods, and ways of solving a research problem

Selecting the way to deal with problems, collecting and processing the most up-to-date information related to the

topic

Application of experimental methods and analysis and processing of results using statistical methods, interpretation of

results

The final design of research work

Study research work presents research work in which the candidate is acquainted with the methodology of scientific and

research projects. By the study research work, the candidate proves that he has mastered the theoretical settings of the research,

the theoretical knowledge in the research field and that he is capable to successfully conduct a complete research process

involving:

Problem identification

Theoretical problem processing

Part of the research including the plan of realization and organization of research

Production of written material

After conducting the research, the candidate prepares the study research work in a form containing the following chapters:

Introduction; Theoretical part; Experimental part, Results and Discussion; Conclusion; Review of the literature.

Bibliography

A broad review of the available literature and empirical body of evidence using the PubMed and ScienceDirect databases with

the relevant keywords.

Active Teaching Hours Theory: Study research work: 8(120)

Applicable Teaching Methods

Independent research work of the candidate, mentorship

Grading Scheme (max. 100 points)

Pre-exam Requirements Compulsory Points Final exam Points

Study research work-1 Yes 50 Exam (oral) 50

Page 4: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: ADVANCED INSTRUMENTAL METHODS IN ENVIRONMENTAL SCIENCE - SELECTED

CHAPTERS

Teachers: Emeritus Professor Marković Dragan, PhD; Associate Research Professor Ivanović-Šašić Ana, PhD;

Assistant Research professor Stevanović Sanja, PhD; Research Associate Jovanović Gordana, PhD;

Senior Research Associate Mijić Zoran, PhD

Course Status: COMPULSORY

ECST Value: 10

Prerequisite: /

Course Goals and Objectives

Students are acquainted with basic principles of advanced instrumental methods that have wide application in

environmental science, and theoretical principles required for their practical application and use in order to better

understand the state of the environment and the climate system.

Course Outcomes

Students are equipped with theoretical and practical knowledge to understand advanced instrumental methods and their

application in environmental science. Coaching for independent optimization of measurement conditions, as well as

analysis and interpretation of the obtained results.

Course Content

Theory

Place and role of advanced instrumental methods in the environmental field; Basic principles of mass spectrometry and

optical non-destructive methods; Analysis of specific pollutants in different types of environmental samples; Principle of

advanced methods for remote detection; Different types of Lidar (LIght Detection And Ranging) systems and field of

application; Data preprocessing, analysis and interpretation of measurement results obtained by the Raman Lidar system;

The significance and possibilities of using satellite observations; Synergy of satellite observations, Lidar measurements

and atmospheric models for the transport of air pollution.

Practice

Demonstration and practical exercises for measuring the concentration of pollutants in real conditions using advanced

instrumental methods, analysis and interpretation of measurements. Application of remote detection of atmospheric

aerosols and interpretation of results through case studies.

Primary and Secondary Sources Selection

6. Majchrzak, Tomasz, et al. "PTR-MS and GC-MS as complementary techniques for analysis of volatiles: A tutorial

review." Analytica chimica acta (2018).

7. Gredilla, Ainara, et al. "Non-destructive Spectroscopy combined with chemometrics as a tool for Green Chemical

Analysis of environmental samples: A review." TrAC Trends in Analytical Chemistry 76 (2016): 30-39.

8. Sicard, M., D'Amico, G., Comerón, A., et. al: EARLINET: potential operationality of a research network,

Atmospheric Measuring Technicues., 8, (2015): 4587-4613.

9. Pappalardo, G., Amodeo, A., Apituley,et al. : EARLINET: towards an advanced sustainable European aerosol lidar

network, Atmospheric Measuring Technicues., 7, (2014): 2389-2409.

10. Vladimir A. Kovalev (2015): Solutions In Lidar Profiling Of The Atmosphere, John Wiley & Sons, New Jersey

Active Teaching Hours Theory: 7 (105) Study research work:

Applicable Teaching Methods:

Lectures, practice, simulations, mid-term tests.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final Exam Points

Attendance and in-class Activity 10 Oral part 50

Mid-term Exams 40

Total 50 Total 50

Page 5: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: ADVANCED CONSERVATION METHODS

Teachers: Full Professor Jelena Milovanović Radosavljević, PhD; Full Professor Lidija Amidžić. PhD

Course Status: Optional

ECST Value: 10

Prerequisite: /

Course Goals and Objectives

The aim of the course is to familiarize students with advanced methods of conservation of species and populations, that is, inter- and

intraspecies variability and with possibilities for their application in different environmental conditions. Students will perceive the

importance of conservation and gain advanced knowledge in this field through examples of good practice applying the principle of

sustainability of conservation approaches and methods in various areas of interest to the human population, such as: agriculture and

forestry.

Course Outcomes

The student will improve knowledge in advanced methods of conservation of species and populations. Students will perceive the

importance and possibilities for applying conservation approaches to nature and environment protection. Students will be able to

independently analyze and assess the status of the populations of species in a particular area and develop a conservation strategy and

conservation program.

Course Content

Theory

Introduction in conservation, polymorphism and genetic resources; Endangering factors and vulnerability of biodiversity and genetic

resources; Potential constraints in the life cycle of species due to changes in the environmental conditions; Natural mechanisms of

species to mitigate the effects of climate change (adaptation); Approaches to the estimation of variability of species and populations:

static and dynamic conservation; In situ conservation methods; Еx situ conservation methods; Preservation and cryoconservation;

Methods of genetic resources conservation and improving in accordance with climate change; Conservation processes in the

international, national and local context; Project activities in order to develop advanced conservation methods; Conservation

strategies for species and populations; Conservation programs and technical guidelines for species and populations; Economic aspects

of conservation; Environmental modeling application in advanced conservation approaches development for species and populations.

Study research work

Study-research work on the development of a conservation strategy and program for the selected species and its populations, with the

selection of adequate methods for estimating interspecies variability and model of its conservation.

Bibliography

1. Šijačić-Nikolić, M., Milovanović, J., Nonić, M. (eds)(2019):Forests of Southeast Europe under a Changing Climate:Conservation

of Genetic Resources. Springer International Publishing AG, Е-book ISBN 978-3-319-95267-3, Hardcover ISBN 978-3-319-95266-6

2. Milovanović, J., Šijačić-Nikolić, M., Nonić, M. (2019): Climate change aspects in forest genetic resources conservation in Serbia.

In: Šijačić-Nikolić, M., Milovanović, J., Nonić, M. (eds): Forests of Southeast Europe under a Changing Climate: Conservation of

Genetic Resources. Springer International Publishing AG. p. 319-332. Е-book ISBN 978-3-319-95267-3, Hardcover ISBN 978-3-

319-95266-6

3. Nonić, M., Nedeljković, J., Nonić, D., Milovanović, J., Šijačić-Nikolić, M. (2019): Regulatory framework for conservation and

sustainable utilization of forest genetic resources in Serbia. In: Šijačić-Nikolić, M., Milovanović, J., Nonić, M. (eds): Forests of

Southeast Europe under a Changing Climate: Conservation of Genetic Resources. Springer International Publishing AG. p. 87-104.

Е-book ISBN 978-3-319-95267-3, Hardcover ISBN 978-3-319-95266-6

4. Šijačić-Nikolić M., M. Nonić, V. Lalović, J. Milovanović, J. Nedeljković, D. Nonić (2017): Conservation of forest genetic

resources: Key stakeholders' attitudes in forestry and nature protection. Genetika, Vol 49, No.3: 875-890

5. Šijačić-Nikolić, M., Milovanović, J., Nonić, M. (2014): Conservation of Forest Genetic Resources. In: Ahuja, M.R. & Ramawat,

K.G. (eds.): Biotechnology and Biodiversity. Springer International Publishing. pp: 103-128.

6. Geburek, Т., Turok, Ј (2005): Conservation and Management of Forest genetic Resources in Europe, Arbora Publishers, Slovakia

Active Teaching Hours Theory: 7 (105) Study research work:

Applicable Teaching Methods

lectures, study-research work, discussion, oral exam

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Oral exam 50

Other Assessment Items /conservation

strategy and program 40

Page 6: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: BIODIVERSITY CONSERVATION AND CLIMATE CHANGE

Teacher: Full Professor Lidija Amidžić PhD; Full Professor Jelena Milovanović Radosavljević, PhD

Course Status: Elective

ECST Value: 10

Prerequisite: /

Course Goals and Objectives

The objective of the course is that students adopt the scientific approach in the collection, processing, analysis and

correct application of data on the significance and state of biodiversity, the causes and consequences of its endangering,

the possibilities and methods of its preservation. Also, the objective of the course is to make students understand the

nature, causes, and consequences of accelerated climate change on biodiversity and the development of human society.

Course Outcomes

Students are trained in the methodology, principles and stages of theoretical and applied approach to current events in

nature and human society precisely through processes of rising climate change and accelerated erosion of biodiversity.

Students should be able to accept and apply modern methodologies and technologies in solving these problems.

Course Content

Theory

Concept, manifestations and levels of biodiversity. Genetic, special and ecosystemic diversity - manifestations, values,

significance, condition, vulnerability and conservation. Climate and living world. Climate change through the history of

the living world. Contemporary climate change - causes, consequences and possible scenarios. Climate change and

erosion of biodiversity. Passive and active measures to mitigate climate change and preserve biodiversity in modern

conditions.

Study research work

Analysis of case studies, research work on specific topics, presentation and analysis of methods of active conservation

and improvement of biodiversity, field work.

Bibliography

1. Sofo, A. (Ed.). (2011). Biodiversity. Intech. ISBN 978-953-307-715-4.

2. Henle, K., Potts, S., Kunin, W., Matsinos, Y., Similä, J., Pantis, J., Grobelnik, V., Penev, L., Settele, J. (2014).

Scaling in Ecology and Biodiversity Conservation. Pensoft. ISBN 978-954-642-740-3

3. Lovejoy E. Th., Hannah, L. (2019). Biodiversity and Climate Change. Yale University Press. ISBN 9780300206111

4. Holmes. A. (Ed.) (2015). The science of climate change. Australian Academy of Science. ISBN 978 0 85847 413 0- 5. Preziosi, R., Filho, W. L. Barbir, J. (Eds.) (2019). Handbook of Climate Change and Biodiversity. Springer Nature

Switzerland AG ISBN 978-3-319-98680-7 ISBN 978-3-319-98681-4 (eBook) https://doi.org/10.1007/978-3-319-98681-

4 Active Teaching Hours Theory: 7(105) Study research work:

Applicable Teaching Methods

Lectures, term papers, case studies analysis, field work, presentations, films, mid-term exams, written exam.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam (written) 30

Mid-term Exam/Test I 20

Mid-term Exam/Test II 20

Term papers 20

Page 7: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: STUDY RESEARCH WORK 2

Teacher: Selected Teacher - Mentor

Course Status: Compulsory

ECST Value: 10

Prerequisite: / All subjects from the second semester passed

Course Goals and Objectives: Study research work is the act of examining candidates for doctoral studies and the first

important verification statement that the candidate works in agreement with the mentor. Study research represents work on

projects that include practical problems and finalization of a part of knowledge from previously mastered subjects. The

research work examines the candidate's autonomy in order to perform more complex and comprehensive analysis of a

particular problem.

Course Outcomes

Conducting study research work, the candidate is able to learn, formulate and process a scientific research problem,

respecting the general theoretical and methodological frameworks of scientific research work. The candidate is qualified for:

Application of acquired knowledge in solving real problems

Independent research work in the field of environmental protection and sustainable development

Presentation of the results

Course Content

Study research work is the independent work of the candidate which relies on the coordinated work of candidates and

mentors. The mentor supervises the candidate in his work and provides him with assistance in the entire process involving:

Selection of the topic of work

Formulating the titles of work

Set the goal, the subject of work, methods, and ways of solving a research problem

Selecting the way to deal with problems, collecting and processing the most up-to-date information related to the

topic

Application of experimental methods and analysis and processing of results using statistical methods, interpretation

of results

The final design of research work

Study research work presents research work in which the candidate is acquainted with the methodology of scientific and research projects. By the study research work, the candidate proves that he has mastered the theoretical settings of the research, the theoretical knowledge in the research field and that he is capable to successfully conduct a complete research process involving:

Problem identification

Theoretical problem processing

Part of the research including the plan of realization and organization of research

Production of written material

After conducting the research, the candidate prepares the study research work in a form containing the following chapters: Introduction; Theoretical part; Experimental part, Results and Discussion; Conclusion; Review of the literature.

Bibliography

A broad review of the available literature and empirical body of evidence using the PubMed and ScienceDirect databases

with the relevant keywords.

Active Teaching Hours Theory: Practice: 6 (90)

Applicable Teaching Methods

Independent research work of the candidate, mentorship

Grading Scheme (max. 100 points)

Pre-exam Requirements Compulsory Points Final exam Points

Study research work-2 Yes 50 Exam (oral) 50

Page 8: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: CONTEMPORARY ECODESIGN METHODS

Teacher: Emeritus Professor Dragan Marković, PhD; Full Professor Gordana Dražić, PhD; Associate Professor Boris

Vakanjac, PhD; Assistant Professor Milena Rikalović, PhD; Principal Research Fellow, Dragi Antonijević, PhD Course Status:Optional ECST Value: 10

Prerequisite: /

Course Goals and Objectives is to introduce the students with contemporary ecodesign methods and potential for their application in

different aspect of the environment and environment protection. The students will, through examples of ecodesign and sustainаble

principles implementation in biotechnology in field of agriculture, industry, waste tretament, pollutants degradation and/or

transformation in various media, perceive importance of this approach. Additionally, the students will expand their knowledge in field

of the environmental assessement.

Course Outcomes

The student will acquire knowledge in the field of ecodesign and contemporary ecodesign methods. The student will realize

importance of ecodesign implementation and opportunities for its application. The student will be able to independently analyse and

assess environmental state related to waste, pollution and degradation of natural resources, and to recommend, plan and project

sustainable ecobased solutions.

Course Content

Theory

Introduction in ecodesign methodology; Benefits and opportunities of eco-design application; The scope of ecodesign; Contemporary

ecodesign methods in environment protection; Ecodesign implementation; Ecodesign and biotechnology; Bioenergy, biofuels,

biorefining; Biomass/feedstocks; Biotechnology in sustainable agriculture; Biomaterials: bioplastics, biofilms; Biobased chemicals

and enzymes; Biosurfactant and detergents; Bioremediation; Fitoremediation; Nanobiotechnology; Qualitative tools for the

environmental assessment.

Study research work

Analysis of ecodesign solutions in practice, examples; Discussion on environmental problems and implementation of sustainable

approach in practice; Analysis of present environmental problems in industry, waste treatment and management, polluted soil and

water resources and possibility of using contemporary ecodesing methods; Realisation of term papers and project work related to

concrete topic from the field.

Bibliography

1. Моntana-Hoyos, C., Fiorentino, C. (2014) Bio-Utilization, Bio-Inspiration and Bio-Affiliation in Design for Sustainability

Biotechnology, Biomimicry and Biophilic Design, The International Journal of Designed Objects, 10, pp 1-18

2. Sanyé-Menguala, E. et al (2014) Introduction to the eco-design methodology and the role of Product Carbon Footprint; in

Assessment of Carbon Footprint in Different Industrial Sectors, Ed. Senthilkannan Muthu, S., pp 1-24, Springer, doi

10.1007/978-981-4560-41-2_1

3. Smith, J.E. (2009) Biotechnlogy, Cambridge University Press, New York (selected chapters)

4. Rikalovic, M.G., Vrvic, M.M., Karadzic, I.M.. (2014) Bioremediation by Rhamnolipids Produced by Environmental Isolates of

Pseudomonas aeruginosa; in Bioremediation Processes, Challenges and Future Prospects, Ed. Velazguez-Fernandez, J.B., Muniz-

Hernandez, S., Nova Science Publishers, New York, p. 299-333

5. Marišova, E. et al (2016) AGRO-ENERGY FOR SUSTAINABLE AGRICULTURE AND RURAL DEVELOPMENT – GOOD

PRACTICES FROM SLOVAKIA-SERBIA BILATERAL COOPERATION, Faculty of Applied Ecology Futura Singidunum

University Belgrade, MESTD of RS (selected chapters)

6. Rikalović, M. Vrvic, I. Karadzic (2015) Review Rhamnolipid biosurfactant from Pseudomonas aeruginosa – from discovery to

application in contemporary technology, Journal of Serbian Chemical Society, Vol. 80, pp. 279 - 304

Active Teaching Hours Theory: 7(105) Study research work:

Applicable Teaching Methods

Lectures, practice, term papers and project work, interactive discussion, mid-term exams, oral exam.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam (oral) 30

Project work 25

Mid-term Exam/Test I and II 25

Other Assessment Items 10

Page 9: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: URBAN ECODESIGN

Teacher: Emeritus Professor Dragan Marković, PhD; Full Professor Gordana Dražić Associate Professor Boris Vakanjac,

PhD; Assistant Professor Maja Vujčić Trkulja, PhD; Assistant Professor Milena Rikalović, PhD

Course Status: Elective

ECST Value: 10

Prerequisite: /

Course Goals and Objectives

Urban eco-design is concerned with the integration of knowledge in the field of urban ecosystems and modern mapping technologies

in order to identify problems and mitigate the environmental impacts of the environment, identify benefits, and encourage innovative

design solutions that would highlight the importance of nature in the city, the importance of renewable energy and recycling of waste

and raised the quality of the functional space of urban environments.

Course Outcomes

The students are expected to be able to apply practical and operational knowledge in the field of the urban ecosystem through the

implementation of the methodology of mapping, analysis and design of public space in order to engage in planning, designing and

upgrading conceptual solutions in a professional and analytical manner, as well as improving the quality of open spaces in the city.

Course Content

Theory

The ecological approach in the field of urban design; Analysis of ecological and social relations in different spatial contexts. An

integrated approach to problem-solving and minimizing negative environmental impacts. Urban eco-design as a sustainable concept of

environmental principles at different spatial levels; Application of theoretical and normative bases for development of urban eco-

design tools; Mapping methodology; Quality analysis of green areas; Mapping devastated areas and causes of devastation; Landfills,

roads, wild settlements, etc.; Black spots - environmental noxae: air quality, noise; Mapping objects, creating a database that would

serve for ecosystem evaluation; Assessment of situation and decision-making.

Study and research work

Making DPSIR, SWOT analysis and concept; Review of empirical evidence, use of tools for bibliography browsing by keywords:

ecological indicators; urban landscape; spatial development, sustainable urban planning and design; green infrastructure (GI);

ecological design; modern mapping methods. Researching theories, concepts, models of urban urbanism in relation to thematic areas;

Field work - a case study. Creating a map of the ecological status of the region - the technical documentation - Layers; Term papers

and project work.

Bibliography

1. Mizen A, Song J, Fry R, et al. 2019. Longitudinal access and exposure to green-blue spaces and individual-level mental health and

well-being: protocol for a longitudinal, population-wide record-linked natural experiment. BMJ Open 2019;9:e027289.

doi:10.1136/bmjopen-2018-027289

2. Badach, J., Raszeja, E. 2019. Developing a Framework for the Implementation of Landscape and Green space Indicators in

Sustainable Urban Planning. Waterfront Landscape Management: Case Studies in Gdansk, Poznan and Bristol. Sustainability 2019,

11, 2291; doi:10.3390/su11082291

3. Simić, I., Stupar, A., Djokić, V. 2017. Building the Green Infrastructure of Belgrade: The Importance of Community Greening.

Sustainability, 9, 1183. doi:10.3390/su9071183

4. Annerstedt van den Bosch et al. 2015. Moving to Serene Nature May Prevent Poor Mental Health—Results from a Swedish

Longitudinal Cohort Study. Int. J. Environ. Res. Public Health 2015, 12, 7974-7989; doi:10.3390/ijerph120707974

5. Birkeland J. (2002) Design For Sustainability: A Sourcebook Of Integrated Eco-Logical Solutions, London, Sterling: Earthscan

Active Teaching Hours Theory: 7 (105) Study research work:

Applicable Teaching Methods

Lectures, practice, term papers and project work, case analysis, simulation, interactive discussion, mid-term exams, written exam.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam (written/oral) 30

Term paper 25

Project work 25

Other Assessment Items 10

Page 10: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: ECONOMICS AND POLICY OF ENVIRONMENTAL PROTECTION

Teacher: Assistant Professor Mesud Adžemović, PhD; Full Professor Nemanja Stanišić, PhD

Course Status: Optional

ECST Value: 10

Prerequisite: /

Course Goals and Objective The objective of the course is to provide students with knowledge on the economic aspects of the interaction between the

economy and the environment, understood as a source of resources and as a "landfill" for the residuals of economic activity,

on the one hand, and environmental protection policies on the other. Understanding and ability to interpret the dynamics of

the relationship between economic and ecological parameters and variables.

Course Outcomes

Students will develop the ability to interpret and analyze essential processes and interactions between the economy and the

environment policy. Students will be able to apply economic methods of impact assessment in the management of a

sustainable development strategy and environmental policy.

Course Content

Theory

The role of the economy in the management of the environment. The failure of the basic economic mechanism - market and

approach of overcoming this failure. Conventional methods of solving: regulation, planning. Economic methods: subsidies,

market approximation. Analytical methods in planning and management of the environment. Risk analysis, cost and profit

estimation. Macroeconomic aspects of protection. Global environmental management. Development indicators and key

elements in advocating an effective environmental policy.

Study and research work

Externals problem. International agreements and conventions. Strategic approach to the problem. National regulatory

framework. Role of institutions. Analysis of different instruments for solving regulation problems. The problem of looking at

costs and benefits. Analysis of the case study.

Bibliography

1. R. Stavins: Economics of the Environment Selected Readings, Elgar 2019.

2. R. S.J. Tol: Climate Economics - Economic Analysis of Climate, Climate Change and Climate Policy, Second Edition,

Elgar 2019.

3. T. Aronsson, K. Backlund, Karl-Gustaf Löfgren: Environmental Policy, Sustainability and Welfare An Economic

Analysis, Elgar 2018.

4. T.H. Tietenberg, L. Lewis: Environmental Economics and Policy, Harlow, Essex Pearson, 2014.

5. S.C. Callan i J. Thompson: Environmental Economics and Management – Theory, Policy and Applications, S.W.

Cenage, Ohio, 2010

6. D. Haris: Ekonomija životne sredine i prirodnih resursa, Data status, Beograd, 2009.

7. А. М. Hussen: Principles of Environmental Economics, Routlige, N.Y, 2008.

8. M. Sagoff: Price, Principle and the Environment, Cambridge U. Press, 2004.

9. D.H., Meadows, D.L., Randers J. and Behrens, W.W. The Limits to Growth: A Report for The Club of Rome's Project on

the Predicament of Mankind. New York, Earth Island, Universe Books, 1972.

10. Н. Georgescu-Roegen:The Entropy Law and Economic Process. Cambridge MA, Harvard Univ. Press, 1971.

Active Teaching Hours Theory: 7 (105) Study research work:

Applicable Teaching Methods

Lectures, practice, consultations, term papers and project work, knowledge check

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam (oral) 30

Term papers 40 Exam (written) 20

Page 11: Table 5.1. Course specification in the doctoral studies ... · Table 5.1. Course specification in the doctoral studies study programme Course Title: ENVIRONMENTAL DATA SCIENCE

Course Title: ECONOMIC AND SOCIAL ASPECTS OF SUSTAINABLE DEVELOPMENT

Teacher: Assistant Professor Mesud Adžemović, PhD; Full Professor Nemanja Stanišić, PhD; Principal research

fellow, Dragi Antonijević, PhD

Course Status: Optional

ECST Value: 10

Prerequisite: /

Course Goals and Objectives

The objective of the course is to provide students with knowledge on sustainable development paradigms as multi-

dimensional results that encompass the quantity and quality of economic development, the state of the environment and the

social balance, as well as develop the ability to interpret the dynamics of the relationship between the three components that

constitute sustainable development.

Course Outcomes

The students will develop an analytical approach that will enable them to understand the concept of sustainable

development and the ability to interpret and analyze its essential processes. Students will acquire relevant knowledge for

the application of economic methods of impact assessment in the management of the strategy and sustainable development

policy.

Course Content

Theory

Theoretical and conceptual consideration of sustainable development. Phenomenological understanding of the sustainable

development paradigm and the impact on public policies, such as development policy, industrial, agricultural, energy and

environmental/environmental protection policies. Global sustainable development strategy and policy led by international

organizations and institutions, in particular the UN. Key objectives related to climate change and maintenance of

biodiversity.

Study and research work

Leading a sustainable development policy in different economic, social and political conditions: developed countries,

developing countries, countries in transition. Analysis of sustainable development measures. Analysis of the case study.

Bibliography

1. K. Skene, A. Murray: Sustainable Economics Context, Challenges and Opportunities for the 21st-Century

Practitioner, 2017.

2. W. McDonough, M. Braungart: The Upcycle: Beyond Sustainability--Designing for Abundance, North Point Press,

2013.

3. S. Baker: Sustainable Development, Routlege, London, 2010.

4. T. Strange i A. Baley, Sustainable Development – Linking Society, Economics and the Environment, OECD, Pariz ,

2008.

5. R. Baxter i R. Damphy: Europe, Globalization and Sustainable Development, Routlege, London, 2004.

6. Measuring Sustainable Development, Inegrated Economic, Environmental And Social Frameworks, OECD, Pariz,

2004.

7. OECD: Sustainable Development – Critical Issues, Pariz, 2004.

Active Teaching Hours Theory: 7 (105) Study research work:

Applicable Teaching Methods

Lectures, practice, consultations, term papers and project work, knowledge check

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam (oral) 30

Term paper 40 Exam (written) 20

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Course Title: STUDY RESEARCH WORK 3

Teacher: Selected Teacher - Mentor

Course Status: Compulsory

ECST Value: 10

Prerequisite: / All subjects from the third semester passed

Course Goals and Objectives: Study research work is the act of examining candidates for doctoral studies and the first

important verification statement that the candidate works in agreement with the mentor. Study research represents work on

projects that include practical problems and finalization of a part of knowledge from previously mastered subjects. The research

work examines the candidate's autonomy in order to perform more complex and comprehensive analysis of a particular

problem.

Course Outcomes

Conducting study research work, the candidate is able to learn, formulate and process a scientific research problem, respecting

the general theoretical and methodological frameworks of scientific research work. The candidate is qualified for:

Application of acquired knowledge in solving real problems

Independent research work in the field of environmental protection and sustainable development

Presentation of the results

Course Content

Study research work is the independent work of the candidate which relies on the coordinated work of candidates and mentors.

The mentor supervises the candidate in his work and provides him with assistance in the entire process involving:

Selection of the topic of work

Formulating the titles of work

Set the goal, the subject of work, methods, and ways of solving a research problem

Selecting the way to deal with problems, collecting and processing the most up-to-date information related to the topic

Application of experimental methods and analysis and processing of results using statistical methods, interpretation of

results

The final design of research work

Study research work presents research work in which the candidate is acquainted with the methodology of scientific and

research projects. By the study research work, the candidate proves that he has mastered the theoretical settings of the

research, the theoretical knowledge in the research field and that he is capable to successfully conduct a complete research

process involving:

Problem identification

Theoretical problem processing

Part of the research including the plan of realization and organization of research

Production of written material

After conducting the research, the candidate prepares the study research work in a form containing the following chapters:

Introduction; Theoretical part; Experimental part, Results and Discussion; Conclusion; Review of the literature.

Bibliography

A broad review of the available literature and empirical body of evidence using the PubMed and ScienceDirect databases with

the relevant keywords.

Active Teaching Hours Theory: Study research work: 6(90)

Applicable Teaching Methods

Independent research work of the candidate, mentorship

Grading Scheme (max. 100 points)

Pre-exam Requirements Compulsory Points Final exam Points

Study research work-3 Yes 50 Exam (oral) 50

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Course Title: SCIENTIFIC-RESEARCH PROJECT WITH SCIENTIFIC METHODOLOGY – IN

ENVIRONMENTAL PROTECTION

Teacher: Emeritus Professor Dragan Marković, PhD; Full Professor Svetlana Stanišić, PhD; Full Professor Jelena

Milovanovic, PhD; Assistant Professor Milena Rikalović, PhD; Senior Research Associate, Zoran Mijić, PhD; Principal

research fellow, Dragi Antonijević, PhD; Research associate Sanja Stevanović, PhD

Course Status: Optional

ECST Value: 30

Prerequisite: All exams before the fourth term

Course Goals and Objectives

Students acquire the basic approach in research, methods and techniques for collecting, experimental analysis and interpretation

of the results of scientific work in the field of environmental science, environmental protection and applied ecology, as well as

the structure of scientific research in the field of natural-mathematical sciences.

Course Outcomes

A PhD student is able to apply the methodology, interpret the scientific literature and data, critically approach the analysis of

the results, independently plan, design and conduct scientific research in the field of environmental science, environmental

protection and applied ecology. Additionally, the PhD student is able to implement the acquired knowledge in practice in this

field.

Course Content

Theory

The aims of the methodology of scientific research work in natural-mathematical sciences; Literature sources, collection of

relevant, contemporary literature in the field of environmental science, ecology, contemporary analytical methods,

biotechnology and other interdisplinary sciences; Formulating the topic and a research plan; Logical methods of research;

Modern methods for research in the field of environmental sciences; Methods of results presentation and writing scientific work

reports; Methodology of writting sciencific paper; Methodology of writing applied projects.

Study research work

Defining a specific topic for a scientific-research project; Creating a research plan; Collection of literature, analysis of

available data; Defining the methodology; Realization of the experimental work; Analysis, interpretation and processing of

results; Writing a scientific report; Writing а scientific paper.

Bibliography

1. Mack, A.C., How to write a good scientific paper, SPIE PRESS, USA, Washington, 2018, pp 1-124

2. Roudgarmi, P., Qualitative research for environmental sciences: A review. Journal of Food, Agriculture and Environment

(2011)

3. 9: 871 – 879

4. Richardson, S.D. Mass Spectrometry in Environmental Sciences. Chemical Review (2001) 101: 211−254

5. Xiaona, C.H.U., Jiangyong, H.U., Say Leong, O.N.G. Application of proteomics in environmental science. Frontiers

Environmental Science Engineering China (2009) 3: 393–403

6. Courchamp, F., et al Fundamental ecology is fundamental. Trends in Ecology and Evolution (2015) 3

https://www.cell.com/trends/ecology-evolution/fulltext/S0169-5347(14)00244-4

Active Teaching Hours Theory: 5(75) Study research work: 15 (225)

Applicable Teaching Methods

Lectures, consultations, mentoring, independent research work of candidates.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam 50

Project work 40

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Course Title: SCIENTIFIC RESEARCH PROJECT WITH SCIENTIFIC METHODOLOGY – IN

SUSTAINABLE DEVELOPMENT

Teacher: Full Professor Gordana Dražić, PhD; Full Professor Jelena Milovanovic, PhD; Full

Professor Lidija Amidžić, PhD; Associate Professor Boris Vakanjac, PhD; Research associate Sanja

Stevanović, PhD; Full Professor Sladjana Spasić, PhD

Course Status: Optional

ECST Value: 30

Prerequisite: All exams before the fourth term

Course Goals and Objectives Students acquire the basic approach in research, methods and techniques for collecting, experimental analysis

and interpretation of the results of scientific work in the field of sustainable development.

Course Outcomes

A PhD student is able to apply the methodology, interpret the scientific literature and data, critically approach

the analysis of the results, independently plan, design and conduct scientific research in the field of

sustainable development. Additionally, the PhD student is able to implement the acquired knowledge in

practice in this field.

Course Content

Theory

The aims of the methodology of scientific research work in the field of sustainable development; Literature

sources, collection of relevant, contemporary literature in the field of sustainable development; Formulating

the topic and making a research plan; Logical methods of research; Modern methods of research in the field

of sustainable development; Methods of displaying results and writing scientific work reports; Methodology

of writing scientific work; Methodology of writing scientifically applied projects.

Study research work

Defining a specific topic for a scientific-research project; Creating a research plan; Collection of literature,

analysis of available data; Defining the methodology; Realization of the experimental work; Analysis,

interpretation and processing of results; Writing a scientific report; Writing а scientific paper.

Bibliography

1. Mack, A.C., How to write a good scientific paper, SPIE PRESS, USA, Washington, 2018, pp 1-124

2. Nicholas Walliman, Research Methodology The Basics, Routlidge 2011.

(https://edisciplinas.usp.br/pluginfile.php/2317618/mod_resource/content/1/BLOCO%202_Research%20Met

hods%20The%20Basics.pdf)

3. C.R. Kothari, Research Methodology Methods and Techniques, NEW AGE INTERNATIONAL (P)

LIMITED, PUBLISHERS, 2004. (http://www.modares.ac.ir/uploads/Agr.Oth.Lib.17.pdf)

4. Pierre Laszlo, Comunicating Science A Practical Guide, Springer, 2006.

5. Hans-Georg Gadamer, Vernunft im Zeitalter der Wissenschaft, Suhrkamp verlag, Frankfurt am Main,

1976.

6. L. Markauskaite, P. Freebody, J. Irwin, Methodological Choice and Design, Springer, 2006.

Active Teaching Hours Theory: 5 (75) Study research work: 15

(225)

Applicable Teaching Methods

Lectures, consultations, mentoring, independent research work of candidates

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Attendance and in-class Activity 10 Exam (oral

and written) 50

Project task 40

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Course Title: STUDY RESEARCH WORK ON DOCTORAL THESIS

Teacher: All teachers who are competent for being mentor

Course Status: Compulsory

ECST Value: 30

Prerequisite: The students must have passed all the exams from the first, second and third semester

Course Objectives

The application of fundamental, theoretical and methodological, scientific and professional, and professional and applicative

knowledge and methods in solving concrete issues within the selected scientific field of a PhD research topic. The objective of

students' activity within this study research work on PhD thesis is to acquire necessary experience through solving complex

issues and tasks and recognizing the possibility for applying previously obtained knowledge in practice. This research project is

the continuation of the research paper from the second semester. The purpose of research work is to verify candidate's

autonomy to perform complex and comprehensive analysis of some problem related to the theme of doctoral dissertation. In

this segment of Doctoral dissertation, student examines the problem, its structure and complexity and on the basis of the

performed analyses draws conclusions regarding the possible manner in its solving. By examining the literature, the student

becomes conversant with the methods intended for creative solving of new tasks and engineering practice for its solving.

Course Outcome

Through individual usage of professional literature, students broaden their knowledge from the selected theme of the

dissertation in the field of environmental protection and sustainable development and they investigate diverse methods and

papers related to the similar fields. Thus, students develop the competence to perform analyses and identify problems within the

set theme. By conducting a dissertation research project, the student is able to solve a scientific-research problem, in accordance

with general theoretical-methodological framework for scientific-research paper. The candidate is able to carry out research

independently, apply previously acquired knowledge and present research results.

Course Content

Theory

Course content is formulated individually in accordance with the elaboration of the concrete Doctoral dissertation, its

complexity and structure. Student studies professional and scientific literature in the field of environmental protection and

sustainable development, Doctoral dissertations by other students dealing with similar theme; they perform analyses in order to

find solutions for a concrete task defined by the task of the Doctoral dissertation. On the methodological side, the structure of

PhD thesis is defined by the applied methodology in the study of the given scientific field.

Study research work

Within the set theme, the student can also perform certain measuring, examination, calculations, surveys and other research

methods and techniques, statistic data processing, if it is predicted by the task of the Doctoral dissertation.

When research is completed, the candidate prepares study research project that should contain the following chapters:

Introduction; Theoretical framework; Experimental part; Results and discussions; Conclusion; Literature Review.

Recommended Bibliography

Relevant sources of national and foreign recognized scientific researcher and prestigious international journals (from SCI and

Kobson List) in the field of environment and sustainable development; doctoral thesis in the given field.

Active Teaching Hours Theory: Study research work: 20 (300)

Applicable Teaching Methods

Study research work is the independent and original work of the candidate, which is performed under the constant supervision of

a mentor.The mentor guides the candidate in his work and provides him help with the whole research, with the selection of the

topic, set the goals, the subject of the paper, methods and ways of solving a research problem, collecting, processing and

analyzing and verification through implementing engineering methods and determining the final form of the paper. During the

elaboration of the Doctoral dissertation, the supervisor can provide additional instructions to the student refer them to certain

literature and additionally direct them towards the elaboration of a quality Doctoral dissertation. During the study research work,

if needed, the student has tutorials with other lecturers dealing with issues in the field of the set dissertation task.

Grading Scheme (max. 100 points)

Pre-exam Requirements Points Final exam Points

Study research project 50 Exam (oral) 50

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Course title: PREPARATION AND DEFENSE OF DOCTORAL THESIS

Teacher/-s: A group of teachers who meets the mentoring requirement

Course status: Compulsory

ECTS credits: 30

Prerequisite: Students must pass all the exams

Course objectives

Acquiring knowledge about the structure and form of writing a thesis report after analysis, and other activities carried out

within the assigned topic of the doctoral thesis. By writing the doctoral thesis, students gain experience for creative work,

writing papers in which it is necessary to describe the problem, implement methods and procedures and results obtained,

as well as to give new scientific contribution to the science development and to the application of the scientific research in

practice. In addition, the goal of writing and defending a doctoral thesis is to enable students for independent paper

preparation in a suitable form for the purpose of public presentation, as well as to respond to comments and questions

related to the given topic.

Course Outcomes

Students are enabled for a systematic approach in solving the given problems, carrying out analyses, applying knowledge

and accepting knowledge from other areas in order to find creative solutions for a given problem. Through independent

studying/work and by solving tasks in a given topic, they acquire the knowledge about the complexity of the problems in

the field of their profession. While working on the doctoral thesis, students gain experiences that can be applied in practice

when solving problems in the relevant field/-s. Students acquire all the necessary experience on how to present the results

of independent or team work in practice by preparing the results for public defense, by the public defense itself, and by

answering questions of the Defense Committee.

Course Content

The Content is formed individually, in accordance with the needs and the field examined by a given doctoral thesis topic.

In agreement with a mentor/supervisor, a student completes the doctoral dissertation in a written form in accordance with

the rules provided by Singidunum University. The student prepares and defends the written doctoral thesis in public, in

agreement with the mentor and in accordance with the prescribed rules and procedures.

Recommended literature

Singidunum University library

Group of authors, Available scientific journals.

Group of authors, Available literature for the scientific field from which the dissertation is.

Active teaching/learning hours

(total): 20

Theory: Practice/Independent/Supervised Work: 20

Applicable Teaching Methods:

Independent research work of a candidate. During the elaboration of the doctoral thesis, students consult their mentor, and

other teachers (if necessary) dealing within a sphere of the doctoral thesis. Students write the doctoral thesis, and, upon the

defense committee approval, submit bound copies to the committee. The defense of the doctoral thesis is performed in

public, and after the presentation, students are obliged to orally answer the questions asked by the Committee.

Grading Scheme (max. 100 points)

Oral defense of doctoral thesis.