mechatronics - ftn.uns.ac.rs

UNIVERSITY OF NOVI SAD, FACULTY OF TECHNICAL SCIENCES TRG DOSITEJA OBRADOVIĆA 6, 21000 NOVI SAD, REPUBLIC OF SERBIA

Accreditation of the Study Programme-Doctoral Academic Studies Doctoral Studies Mechatronics

Documentation for the Accreditation of the Study Programme:

Mechatronics

DOCTORAL STUDIES

Novi Sad, 2012



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Table of Contents: Standard 00. Competence of the Higher Education Institution for Administering Doctoral Studies ...........5 Standard 01. Structure of the Study Programme ...............................................................................................6 Standard 02. Purpose of the Study Programme.................................................................................................7 Standard 03. Objectives of the Study Programme.............................................................................................8 Standard 04. Graduate Students’ Competence ..................................................................................................9 Standard 05. Curriculum..................................................................................................................................... 10

Table 5.1 Course specification at Doctoral Study Programme.........................................................................11 Scientific Research Method ........................................................................................................................11 Selected Chapters in Telecommunications and Signal Processing ............................................................12 Selected Chapters in Computing ................................................................................................................13 Selected Chapters in Mechanics.................................................................................................................14 Selected Chapters in Mathematics 2 ..........................................................................................................15 Selected Chapters in Electromotive Drives.................................................................................................16 Algorithms for Digital Signal Processing .....................................................................................................17 Engineering Experimental Methods ............................................................................................................18 Selected Chapters in Computer Programming ...........................................................................................19 Selected Chapters in Mathematics .............................................................................................................20 Automated Identification Technologies........................................................................................................21 Movement Control .......................................................................................................................................22 Non Industrial Automation ...........................................................................................................................23 Traffic Collision Theory................................................................................................................................24 Selected Chapters in Physics .....................................................................................................................25 Current Issues in Scientific Field.................................................................................................................26 Nonsmooth Mechanics and Optimization....................................................................................................27 Selected Chapters in Industrial Robotics ....................................................................................................28 Engineering of Renewable Energy Sources in Agriculture .........................................................................29 Advanced Application of ICT in Agriculture .................................................................................................30 Sustainable Biosystems Engineering..........................................................................................................31 Sustainable Agriculture Tractors .................................................................................................................32 Selected Chapters in Non-industrial Robotics ............................................................................................33 Selected Chapters in Automated Systems Integration................................................................................34 Selected Chapters in Operation Processes Automation .............................................................................35 Preparation for the Application of Doctoral Dissertation Topic ....................................................................36 Doctoral Dissertation (Theoretical Bases)...................................................................................................37 Doctoral Dissertation – Study and Research ..............................................................................................38

Table 5.2 Course distribution over semesters and years of study for doctoral study programme...................41 Standard 06. Quality, Contemporariness and International Coordination of the Study Programme .........44 Standard 07. Enrolment of Students..................................................................................................................45 Standard 08. Evaluation and Advancement of Students .................................................................................46 Standard 09. Teaching Staff................................................................................................................................48 Standard 10. Organization and Funds...............................................................................................................49

Standard 11. Quality Control ..............................................................................................................................50 Table 11.1 Members of the committee for quality control................................................................................51

Translation No.: 612-00-01428/46/2007-04

Republic of Serbia COMMITTEE FOR THE ACCREDITATION AND

QUALITY CONTROL

CERTIFICATE ON THE ACCREDITATION OF THE STUDY PROGRAMME

Faculty of Technical Sciences, University of Novi Sad, situated in Novi Sad, Trg Dositeja Obradovića 6, has fulfilled the standards prescribed by the Regulation Book on Standards and Procedure for the Accreditation of Higher Education Institutions and Study Programmes (Official Gazette RS, No. 106/06), for the accreditation of the interdisciplinary study programme Doctoral Academic Studies – Mechatronics within the field of Technical Sciences and Engineering and for 16 students enrolled in the first year of studies at the Institution centre.

This certificate is issued pursuant to Article 16, Paragraph 5, Item 1, of the Law on Higher

Education (Official Gazette RS, No. 76/05).

No. 612-00-01428/46/2007-04 CHAIRPERSON

Belgrade, 19/05/2008 prof. Slobodan Arsenijević, Ph.D.

Translated by: Vesna Bogdanović, Ivana Mirović, Lecturers in the English Language, Faculty of Technical Sciences Novi Sad, Department for Fundamental Disciplines in Engineering, Chair of Social Studies and Arts

Republic of Serbia

COMMITTEE FOR THE ACCREDITATION AND

QUALITY CONTROL

No. 612-00-0087/2012-04

03/02/2012

Belgrade

APPENDIX TO CERTIFICATE ON THE ACCREDITATION OF THE STUDY PROGRAMME

DOCTORAL ACADEMIC STUDIES

Faculty of Technical Sciences, University of Novi Sad, situated in Novi

Sad, Trg Dositeja Obradovića 6, has fulfilled the standards prescribed by the

Regulation Book on Standards and Procedure for the Accreditation of Higher

Education Institutions and Study Programmes (Official Gazette RS, No. 106/06,

112/08), for the accreditation of the study programme Doctoral Academic Studies

– Mechatronics within the field of technical sciences and engineering and for 16

(sixteen) students enrolled in the first year of studies at the Institution centre with

the instructions in Serbian and English language within the accredited number of

students.

This certificate is issued pursuant to Article 16, Paragraph 8, Item 1, of the

Law on Higher Education (Official Gazette RS, No. 76/05, 100/07, 97/08, 44/10).

Delivered to: CHAIRPERSON - Higher education institution

- Archive of KAPK prof. Vera Vujčić, Ph.D.

Translated by: Vesna Bogdanović, Ivana Mirović, Lecturers in the English

Language, Faculty of Technical Sciences Novi Sad, Department for Fundamental

Disciplines in Engineering, Chair of Social Studies and Arts



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Study programme Mechatronics

Independent higher education institution performing the study programme University of Novi Sad

Higher education institution performing the study programme Faculty of Technical Sciences

Educational scientific/educational artistic field Interdisciplinary

Scientific, professional or artistic field Power Engineering and Computer Engineering and Mechanical Engineering

Level of studies Doctoral studies

Level of studies expressed in ECTS credits 180-181

Academic Degree , abbreviation Doctor of Science – Mechtronics , Ph.D.

Duration of studies 3

Year of initiated realization of the study programme 2005

Year of initial implementation of the study programme (if the programme is new)

Number of students participating in the study programme 4

Number of students to be enrolled the study programme 48

Date of programme approval by the appropriate entity (state which) 04/10/2007 – Senate of the University of Novi Sad

Language of instruction Serbian and English

Year of programme accreditation 2008

Web page providing information on the study programme www.ftn.uns.ac.rs



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Standard 00. Competence of the Higher Education Institution for Administering Doctoral Studies

Mechanical Engineering at the Faculty of Technical Sciences in Novi Sad was developed on the basis of earlier founded Faculty of Mechanical Engineering (founded in June 1960) and for more than half of a century it covers research in both basic sciences and fields of application useful for industrial practice. In the period between June 1972 and April 2006, 508 students became masters of science and in the period between September 1974 and April 2006, 211 candidate became Ph. D. During its development, numerous workers went abroad for professional improvement and returned with new ideas and potential for creating their own experts. That process is followed by the production of scientific results. Thus in mid 1960s, scientific works were published in leading international highly reputable journals, nowadays defined by SCI list. The number of such results, independent and original research, by teachers at the department of Mechanical Engineering exceeds hundreds.

This study programme should enable students to become capable for individual scientific and research work within the selected field of their Doctoral thesis. Besides additional concretisation and integration of knowledge, stronger understanding of main physical principles and acquisition of capabilities necessary for the realization of contemporary technical systems, students should also develop their abilities for individual looking up and utilizing foreign literature, innovative thinking unburdened by previous realizations, and propositions of solutions that will represent the expansion of the boundaries of current scientific knowledge and professional engineering practice.

The Faculty is fully prepared in terms of academic staff, classroom capacity and other facilities for administering doctoral studies in all the fields studied at the Faculty based on indicators related to scientific and research work. The Faculty has a short-term and long-term plan and is accredited as a scientific and research institution, as required by law.

The ability of the Faculty to administer doctoral studies can be indicated by the following criteria:

• the number of Ph.D. and Master theses defended at the higher education institution which are in the area for which the study programme is accredited, in terms of the ratio of the doctoral and master theses and the number of students who have graduated from the programme and the number of professors.

• the ratio between the number of professors and the number of professors involved in scientific and research projects.

• the ratio between publications in the Ministry of Science acclaimed international journals in the last 10 years and the number of professors.

• cooperation with institutions in the country and abroad • the Faculty employs a number of tenured teachers who have acted as doctoral thesis supervisors.

The capability of the Faculty to administer doctoral studies is obvious from the references which are enclosed with the accreditation material.



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Standard 01. Structure of the Study Programme

The name of the Doctoral Study Programme is “Mechanical Engineering”. The acquired academic degree is a Doctor of Science – Mechanical Engineering (Ph.D.). It was jointly created by four departments: Department for Production Engineering, Department for Construction Mechanics and Mechanization, Department for Energy and Process Engineering and Department for Technical Mechanics and Technical Design.

Within this study programme, Production Engineering considers issues such as material shaping technologies and computer based technologies.

Within this study programme, Construction Mechanics and Mechanization considers issues such as development of machines and devices for transportation, construction, and agricultural mechanical engineering, procedures and systems for controlling, maintenance and utilization of engines and vehicles. Special attention is paid to the development of new procedures that are eco friendly, that use renewable energy sources and implement achievements in information and communication technologies in the stated fields.

Within this study programme, Energy and Process Engineering considers issues such as static and dynamic processes modelling in process and power systems (plants), methodology of economic analysis and service life optimization. As an optional subject, unconventional fuels it is offered.

Within this study programme, Technical Mechanics considers issues such as non linear mechanics (dynamics, theory of dynamic systems), mechanics of deformable body (final – geometric nonlinearity), mathematic rods theory, features of materials (high elasticity), mechanics of continuum, structural optimization, and recently thermo mechanics, contact mechanics and dynamics of non smooth mechanical systems. At students’ request biomechanics can be included as well.

The study programme is designed in order to cover theoretical formulations (functional, variational, differential), numeric simulations and parametric identification of relevant mechanic problems and to make the students highly educated and creative researchers capable to solve problems in basic sciences, problems generated in various industries and multidisciplinary research.

Programme is realized in two phase: preparation when student attend courses aimed at understanding and mastering skills for problem solving and production with original and independent research which should result in at least one paper in SCI list prior to defending doctoral theses.

As research supplement, each student of doctoral studies is advised to participate in the other pedagogical side of the studies through active involvement in classes at undergraduate and graduate studies that are held at the Faculty of Technical Sciences.

The outcome of the learning process is the knowledge which enables students to become capable of independent scientific research.

Doctoral studies in Mechanical Engineering last for three years and they are worth at least 180 ECTS. Out of it, 90 ECTS is obtained through examination at the subjects, 30 ECTS is obtained by laying theoretical basis for doctoral dissertation, and 60 ECTS is acquired by elaborating and defending the doctoral dissertation. Doctoral studies cannot last longer than 10 years.

Research study on theoretical grounds is a doctoral dissertation qualifying exam for the preparation of a doctoral dissertation in which students demonstrate that they mastered necessary theoretical knowledge in the scientific areas of interest. Theoretical foundations are laid as examination (written and / or oral) by subject (issues) from at least three teaching subjects from the study programme.

Doctoral studies are organized through lectures, research study, research work, construction and defense of the doctoral dissertation.

Student’s research interest is profiled by selecting teaching subjects which will be studied and taken; and thus, contribute in-depth knowledge and understanding of areas (themes) of his doctoral dissertation. Optional subjects are selected from the group of proposed subjects of study programme, but the students have the opportunity to choose a number of subjects, with the consent of the mentor (co-mentor), from a set of subjects for Doctoral Studies at Faculty of Technical Sciences, University of Novi Sad, or any other university in the country or abroad. At the same time the conditions prescribed for teaching attendance in selected cases have to be fulfilled.

Teaching activity for the subjects (compulsory or optional) is group or individual (mentoring) activity. Group classes are held if the subject was chosen by five or more students or if this type of lecturing is necessary to be organized due to the nature (character) of the subject. The decision on the type of instruction and optional subjects that will be taught is made by the Head of Doctoral Studies following the proposal of the Committee for the Quality of the study programme (study group).



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Standard 02. Purpose of the Study Programme

The purpose of the Doctoral Study Programme is to provide to advanced students at graduate studies – masters a programme of special university education in special fields of applied science. At the same time, through numerous optional subjects, fulfil their obligations individually according to their choice of preparatory courses – subjects. Through courses and following exams, students are expected to demonstrate great understanding of theory, methodology and application of the acquired knowledge, and all this based on the newest published results in the considered field.

The purpose of the Study Programme is the education of students capable of high quality and independent scientific research in accordance with the needs of society. On the other hand educating staff trained to critically evaluate research work and independently carry out original and scientifically relevant research enables the development of new technologies and procedures that contribute to the overall development of society. In addition, the purpose of this Doctoral Study Programme is a contribution to national science as well.

Study Programme of Doctoral Studies in Mechanical Engineering is designed to provide the acquisition of skills that are socially justified and useful. Faculty of Technical Sciences defined tasks and goals for educating highly competent personnel in the field of technology and the purpose of the Study Programme of Mechanical Engineering is completely in accordance with the objectives and goals of the Faculty of Technical Sciences.



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Standard 03. Objectives of the Study Programme

The objective of the study programme is to achieve student’s scientific competencies and academic skills in the field of Mechanical Engineering. The idea is to produce an expert who knows to solve problems and to follow fundamental physics, geometry and principle science on energy in order to handle problems. Thus, the main focus is not on studying methods but on application of the acquired knowledge in solving real problems. This also includes the development of creative abilities in considering problems and the ability of critical thinking, the development of teamwork skills and the mastering of specific practical skills necessary to perform the profession.

The objective of the study programme is to educate an expert who has sufficient extended knowledge consistent with contemporary directions of development of science in the world.

One of the specific objectives which is in accordance with educational aims of experts at the Faculty of Technical Sciences is to develop students' awareness of the need for a personal contribution to the development of a society in general and the environmental protection. The objective of the study programme is also the education of experts in the field of teamwork, and the development of technical capacity for communication and presentation of their original results to scientific public.



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Standard 04. Graduate Students’ Competence

PhD graduates of the academic study programme in Mechanical Engineering are competent to conduct research and solve problems in real life practice activities. Competencies include, above all, the development of critical thinking skills, problem analysis capabilities, the synthesis solution, predicting the behaviour of selected solutions with a clear representation of what is good and what is bad by the selected solution.

Qualifications that indicate the completion of doctoral academic studies are gained by students: • who have demonstrated systematic knowledge and understanding in the field of civil engineering

that complements the knowledge gained at graduate academic studies, being the basis for developing critical thinking and application of knowledge;

• who have mastered the skills and methods of research in the field of civil engineering; • who have shown the ability of making concepts, design and application • who have shown ability to adapt the research process with the necessary level of academic

integrity; • who have performed original research and work, extending the boundaries of knowledge, which is

verified by publishing papers in the appropriate scientific journal and by the references in national and international levels;

• who are capable of critical analysis, evaluation and synthesis of new and complex ideas; • who are capable of knowledge and ideas transfer to their colleagues, wider academic community

and society in general • who are capable of promoting technological, social and cultural progress in the academic and

professional environment These competences are realized through monitoring study processes and individual results of students.

After graduation, PhD programme allows students to have the knowledge, skills, developed abilities and competencies to :

• independently solve practical and theoretical problems and organize and realize developing activities and research;

• be involved in international scientific projects • be able to implement the development of new technologies and procedures in the field of civil

engineering and to understand and use modern knowledge; • think critically, work creatively and independently; • respect the code of ethics and principles of good scientific practice; • be capable to present scientific research results at scientific conferences and publish in scientific

journals, verifying them through patents and new technical solutions; • contribute to the development of scientific disciplines in science generally.

After this study programme completion, the student obtains the following subject-specific competences:

• thorough knowledge and understanding of the disciplines that are the subject of their involvement; • ability to solve problems using scientific methods and procedures; • linking basic knowledge in various fields and their application; • ability of modern developments in the field of profession; • necessary skills and ability in applying knowledge in the field of mechanical engineering; • mastering information and communication technologies.

Students will be enabled to design, organize and manage the construction of specific and complex structures. During their education, students acquire the knowledge to independently perform experiments, process statistic data, as well as formulate and make adequate conclusions.

Students who obtain their Doctoral degree in Mechanical Engineering acquire knowledge on how to economically utilize natural resources of the Republic of Serbia in accordance with the sustainable development principles. In particular, attention is paid to the development of skills in team work and development of professional ethics.

Acquired competence are verified by scientific papers. Before obtaining the Doctoral Diploma a candidate must publish (or to prove that the papers are accepted for publication) at least two papers of R54-level (according to the categorization of the Ministry of Science) and at least one paper in the SCI listed journal.



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Standard 05. Curriculum

The curriculum of the Doctoral Academic Study Programme in Mechanical Engineering is made to meet the set goals. The structure of the study programme enables the students to choose optional courses which will be worth at least 70% of ECTS credits.

During the course of the doctoral academic studies students are encouraged to specialize in the specific field of study they are most interested in. Through optional courses they are able to take further interest in the scientific and research areas studied during the course of their graduate academic studies.

All courses last one semester and are worth a certain number of ECTS credits, one credit comprising approximately 30 hours of a student’s activity.

The curriculum defines every course of the study programme which states the following: the course name, type, the year and semester when the course is lectured, the number of ECTS credits, the name of the lecturer, the course objective with the expected outcome, the knowledge and competences the student will acquire, the prerequisites for taking the course, the course content, the recommended literature, the methods of lecturing, the knowledge tests and evaluation and other data. Each subject is created in such a way that approximately one half represents lectures and the other half represents research and scientific work. Research and scientific work is independent work of doctoral students in research in the subject field, what is defined in cooperation with the professor.

The study programme is created in accordance with the European standards concerning the enrolment requirements, the duration of studies, the terms of enrolling into the next year of studies, the acquisition of a diploma and the mode of study. The curriculum enables students to attend 7 courses during the first three semesters. During the first semester two compulsory courses (Methods of Scientific Research; Selected Chapters in Mathematics) and one optional course are taught.

During the second and third semesters (each containing two optional courses) students elect optional courses after consulting their co-mentor, one being available to every student of the doctoral studies. These courses are a part of the main preparation for research work. Generally they can be followed also by other forms of improvement: participation in conferences, summer schools, workshops, as a result of independent research for which the student is specially educated.

Prerequisets for enrollment for the second year (third semestre) are fulfilled by those students who during no longer than one year was awarded 30 ECTS credits with relative average grade of 8 calculated according to the formula defined in the Regulation book for doctoral studies and acquiring title of doctor of science. Students who fail to fulfill this prerequisites, but still are awarded at least 15 ECTS credits have opportunity to continue studies, with opportunity to transfer passed exams, at specilaist academic studies.

The right to take exam in Theoretical Bases in Doctoral Studies has a students who enrolled at the second year and passed all exams defined by study programme during no longer than three years since the beginning of the studies with relative average grade of 8. Students who fail to fulfill prerequisite for taking Theoretical Bases in Doctoral Studies have opportunity to continue studies at specilaist academic studies.

Co mentor follows student’s development during first three months. After the completion of regular lectures, the candidate takes the exam before the Commission for continuation of studies. If the candidate passes the exam, he is provided a five-member commission and a mentor for further studying. The fourth semester is planned for theoretical and methodological preparations for elaboration of doctoral studies worth 30 ECTS credits which are taken in the form of an exam and evaluated. Doctoral dissertation is an independent scientific work created during doctoral studies. The procedure of application, elaboration and defending of doctoral dissertations defined by special General act of the Faculty. (Procedure for application, elaboration and defending of doctoral studies). After passing Theoretical Bases, the candidate is ready for elaboration and defending of doctoral dissertation, which he works on during the fifth and sixth semester and is 60 ECTS credits.

It is determined by the study programme that 50% of ECTS credits is reserved for preparation and elaboration of doctoral dissertation and that the number of ECTS credits for the doctoral dissertation is part of total number of ECTS credits necessary for the completion of doctoral studies.

Student completes doctoral studies by elaboration of doctoral dissertation which consists of theoretical and methodological preparations necessary for better understanding of the field of the doctoral dissertation, and by the defending of the dissertation.

Prior to the defending of the dissertation the candidate is obliged to have at least one scientific paper published or accepted for publication in a journal from the SCI list. Doctoral dissertation is defended before a commission which consists of at least five professors. Among them at least one needs to be from a similar higher education or professional institution, outside the Faculty. Majority of members need to be from the Faculty of the study programme origin.



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Standard 05. Curriculum Table 5.1 Course specification at Doctoral Study Programme

Course: Course code DZ001 ECTS credits: 5

Scientific Research Method Lecturers: Course status: O Number of classes Theory: Study and research: s Prerequisite courses: None 1. Educational objectives: To enable students to successfully write scientific papers and Doctoral dissertation. 2. Educational outcomes (acquired knowledge): - Ability to understand diverse scientific methods utilized n scientific literature - Ability to successfully utilize scientific literature - Ability to successfully write scientific papers in the interest field - Ability to successfully elaborate and complete Doctoral dissertation 3. Course content/structure: Definition of science. Development of science through history. Methodology for scientific and research papers. General and specific scientific methods. Structure of a scientific paper. Types of scientific results. Writing and publishing a scientific paper. Elaborating Doctoral dissertation. Evaluating scientific results. 4. Teaching methods: Lectures. Consultations. Seminar paper.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Lecture Attendance Yes 10.00 Oral part of the examination Yes 40.00 Seminar paper Yes 50.00

Literature No. Author Title Publisher Year

1. Karl Popper The Logic of Scientific Discovery Nolit, Belgrade 1973

http://en.wikipedia.org/wiki/The_Logic_of_Scientific_Discovery



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Standard 05. Curriculum Table 5.1 Course specification аt Doctoral Study Programme

Course: Course code DAU001 ECTS credits: 13

Selected Chapters in Telecommunications and Signal Processing

Lecturer: Šenk I. Vojin, Temerinac R. Miodrag Course status: I Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: To grasp the principles on which modern communication systems are built. 2. Educational outcomes (acquired knowledge): Student will have gained knowledge of modern communication systems and the ability of their analysis and synthesis. 3. Course content/structure: Modulations. Information., compression, protection of information from problems in transmission. Contemporary communication systems. Part of the course is in the form of independent research and study in the area of telecommunications and signal processing. Research and study work is based on primary scientific sources, organization and conduction of research experiments. 4. Teaching methods: Lectures. Consultations. Research and study work

Knowledge evaluation (maximum number of points 100) Pre exam assignments Compulsory Points Final examination Compulsory Points Homework Yes 10.00 Oral examination Yes 50.00 Project defence Yes 40.00


1. Thomas M. Cover, Joy A. Thomas

Elements of Information Theory Wiley-Interscience 1991



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Selected Chapters in Computing Lecturers: Konjović D. Zora, Popović V. Miroslav Course status: I Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Deep understanding of the selected areas related to computer software. 2. Educational outcomes (acquired knowledge): The students will have been able to critically analyze the existing solutions and synthesize original solutions in the selected areas related to computer software. 3. Course content/structure: Theoretical foundations of the selected areas related to computing. Technological foundations of the selected chapters in computing. Part of the course is in the form of independent research and study in the area of computing. Research and study work is based on primary scientific sources, organization and conduction of research experiments, numerical simulations. 4. Teaching methods: Forms of teaching include: lectures, practical work on computers, developing projects, as well as consultations. During the lecture classes the content of the course is presented using the necessary didactic materials and stimulating the active participation through presentation of the assigned materials. The practical component is covered through computer work. The student is obliged to dvelop an independent project.

Knowledge evaluation (maximum number of points 100) Pre exam assignments Compulsory Points Final examination Compulsory Points Project defence Yes 60.00 Oral part of the examination Yes 40.00


1. not applicable Selected scientific papers from the filed various 2007



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Selected Chapters in Mechanics Lecturers: Atanacković M. Teodor Course status: I Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: To develop capabilities for independent literature study and active research work in the fields of classic and mechanics of derivatives of real series. Special attention is given to the optimization problems in elasticity (uni and bimodal) and problems of controlling systems described by differential equations with real series derivatives. 2. Educational outcomes (acquired knowledge): Students will have been able to actively follow the scientific literature and do research work in the field of mechanics described by partial derivative. 3. Course content/structure: Differential and integral variational principles of mechanics. Derivatives of real series and their application in mechanics. Hamilton’s principle in the case of partial derivatives. Part of the course is in the form of independent research and study in the area of mechanics.. Research and study work is based on primary scientific sources, numerical simulations and producing a paper in the field of applied mechanics. 4. Teaching methods: Lectures. Seminar papers. Consultations. Research and study work.

Knowledge evaluation (maximum number of points 100) Pre exam assignments Compulsory Points Final examination Compulsory Points Homework Yes 50.00 Oral part of the examination Yes 50.00


1. B.D. Vujanovic, T.M. Atanackovic An Introduction to Modern Variational Techniques in Mechanics and Engineering

Birkhauser, Boston 2004

2. T.M. Atanackovic Stability Theory of Elastic Rods World Scientific 1997



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Selected Chapters in Mathematics 2 Lecturers: Pilipović R. Stevan, Stojaković M. Mila Course status: I Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: To develop the ability of abstract thinking and acquire knowledge of mathematics. 2. Educational outcomes (acquired knowledge): Student will have been competent enough to develop and solve mathematical models in further professional education. 3. Course content/structure: Depending on student’s choice and in accordance with their prior knowledge of mathematics fundamentals, attention will be given to the selected chapters in probability, statistics and stochastic processes. Part of the course is in the form of independent research and study in the area of mathematics. Research and study work is based on primary scientific sources, organization and conducting of experiments, numerical simulations, and possible paper in the field of mathematics. 4. Teaching methods: Lectures. Consultations. Lectures are organized so that the presentation of the theoretical part is followed by the corresponding examples which contribute to better understanding of the material. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.

Knowledge evaluation (maximum number of points 100) Pre exam assignments Compulsory Points Final examination Compulsory Points Seminar paper Yes 50.00 Oral part of the examination Yes 50.00


1. Aleksander Mood Introduction to the theory of statistics McGraw Hill 2005 2. Athanasios Papoulis Probability, random variables and random processes McGraw Hill 2002 3. Sheldon Ross Probability models Academic Press 1996 4. J.P.Marques de Sa Applied statistics using SPSS,STATISTICA and

MATLAB Springer 2005



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Course: Course code DE109 ECTS credits: 13

Selected Chapters in Electromotive Drives Lecturers: Marčetić P. Darko Course status: E Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Introduction to contemporary electromotive drives development trends. Introduce students to basic modelling tools and operation simulation of the controlling structure within a plant. 2. Educational outcomes (acquired knowledge): Afeter the course the candidate is introduced to electromotive drives development trends. Huge amount of references is covered in the selected field, and one drive within the department is used for acquiring selected experimental results. The candidate is trained for solving current problems in the field of electromotive drives. 3. Course content/structure: Introduction. Classification of electromotive drives. 1) Electromotive drives with asynchronous engine (AE). 1а) Matlab-Simulink model of vector controled drive with AE and position indicator 1b) Synthesis of digital power, speed and position regulator. 1c) Analysis of drive sensitivity to parameters change. 1d) Matlab-Simulink model of vector controled drive with AE and without position indicator (MRAS and SMO estimators of speed and position), 1е) vector controled drive with AE and with and without position indicator and on-line paramenter estimation realized in programme language C on TI DSP 320F2812 . 2) Electromotive drives with synchronous engine (SE). 2а) Matlab-Simulink model of vector controled drive with SE and position indicator 2b) Matlab- Simulink model of vector controled drive with SE and without position indicator (SMO and one of the methods based on impression of test signal), 2c) Analysis of sensitivitiy of SE shaft- sensorless drive to paramenters change. 2d) vector controled drive with SE and with and without position indicator и on-line paramenter estimation realized in programme language C on TI DSP 320F2812. Partially classes are realized through independent study and research work in the field of electromotive drives. Study and research work includes acrive following of primary scientific sources, organization and conducting experiments and statistical data processing, numeric simulations, elaboration of a paper in the filed of doctoral disertation. 4. Teaching methods: Lectures. Mentor work. Study and research work.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Seminar paper Yes 50.00 Oral part of the examination Yes 50.00


1. Slobodan N. Vukosavić Digitalno upravljanje električnim pogonima Akademska misao 2002 2008



Page: 17


Course: Course code DE111 ECTS credits: 13

Algorithms for Digital Signal Processing Lecturers: Delić D. Vlado, Šećerov V. Emil Course status: I Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: As a main course for the doctoral studies students who major in digital signal processing, this course has an educational objective to provide students with all the necessary knowledge on digital signal processing and its application. It is necessary to determine the knowledge from graduate studies on digital signals from both time and frequency domains, digital filters and methods for their design. The objective of the course is to increase and deepen students’ knowledge by introducing them to the advanced algorithms and applications for digital signal processing. They should get acquainted with the methods for designing optimal filters and adaptive systems which are increasingly utilized in practice. 2. Educational outcomes (acquired knowledge): Main algorithms for signal processing in discrete time and the most important transformations of discrete signals, including the algorithms for the rapid Fourier transformation. Digital filters are introduced via concrete examples, and only then theory is learned and methods for their design are introduced. Based on the acquired knowledge, students will be able to competently analyse the set problem, select the appropriate digital filter class and optimal design method, design with the usage of adequate software tools and implement a digital filter on the general purpose processor or DSP platform. Students will learn to select optimal structures for the realization and to design even the complex systems for digital signal processing. They will be introduced to the methods for signal spectre estimation, as well as adaptive systems. In practical work, they will gain experience with the Matlab DSP Toolbox and Simulink. They will be able to identify and qualify potential problems in digital filter implementation and to find solution. 3. Course content/structure: Practical aspects of A/D and D/A conversion and selection theorems. Transformations of discrete signals and links between them (ZT, FTD, DFT). Fast FT and fast convolution. Examples of digital FIR and IIR filters and their characteristics. Main methods for digital filter design (with the introduction to Matlab DSP Toolbox). Design methods and the selection of structure for the realization of optimal digital FIR and IIR filters. Multirate systems. Adaptive systems. Spectre estimation (with the introduction to Matlab Simulink). Part of the course is conducted through individual research and study work in the field of algorithms for digital signal processing. The study and research work is based on active study of primary scientific sources, organization and performance of experiments and statistic data processing, numerical simulations, and writing a paper in the narrow scientific area within the topic of the Doctoral dissertation. 4. Teaching methods: Teaching is the combination of lectures and tutorials. Individual students’ work is supported by the web portal of the Chair for Telecommunications and Signal Processing. There, they can find PowerPoint presentations from lectures in .pdf format, as well as certain on-line exercises intended for individual work and homework elaboration. During the tutorials, students are led through the selected chapters in the Tasks for Digital Signal Processing with the objective of acquiring additional knowledge to the one from their graduate studies. At the Laboratory for Digital Signal Processing at the Faculty, students obtain practical experience in the work with software tools for digital signal processing and with the development systems for DSP where they perform the implementation of the DSP algorithm. Some of the obtained knowledge is tested during the semester in the form of elaborating short design tasks and homework. During the final examination, the entire knowledge from the course is examined. Study and research.

Knowledge evaluation (maximum number of points 100) Pre exam assignments Compulsory Points Final examination Compulsory Points Homework Yes 30.00 Written part of the examination – combined exercises and

theory Yes 40.00

Defence of a project Yes 30.00 Literature

No. Author Title Publisher Year 1. J. Proakis and D. Manolakis Digital Signal Processing – Principles, Algorithms, Applications Prentice Hall 1996 2. E. Ifeachor and B. Jervis Digital Signal Processing – A Practical Approach Prentice Hall 1993 3. S. Mitra Digital Signal Processing, A Computer-Based Approach McGraw-Hill 2002 4. Miodrag Popović Digitalna obrada signala Nauka, Beograd 1994 5. Milan Sečujski, Vlado Delić,

Nikša Jakovljević, Igor Radić Zbirka zadataka iz digitalne obrade signala FTN, Novi Sad 2007

6. Vlado Delić i dr. PPT prezentacije sa predavanja i on-line vežbe preko Web portala Katedre za telekomunikacije i obradu signala

2007



Page: 18


Course: Course code DM302 ECTS credits: 13

Engineering Experimental Methods Lecturers: Gvozdenac D. Dušan Course status: E Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: It is occasionally demanded for theory to offer solution for solution of various practical engineering problems in its full complexity. Contemporary technological plants are very complex unity of tools and devices in which various processes are conducted. All elements in plants should be synchronised in order to justify existence of the plant and create final and effective product. Nowadays experimental methods and experimental techniques are highly developed and can equally be used with theoretical methods in studying engineering problems. The subject aim is for the student to be introduced to fundamental experimental concept, experiment planning, experimental data analysis, contemporary complex engineering measurements, data acquisition and their processing as well as writing and presentation of experiment results. 2. Educational outcomes (acquired knowledge): Mastering contemporary engineering experimental technique in order to understand and master physical phenomena of contemporary technological plants. 3. Course content/structure: Theory and experiment in engineering. Applied statistics. Measurement system designing and its application. Experiment plan. Dimensional analysis. Similarity and model theory. Experiment conducting. Analysis and interpretation of experimental data. Technical communication. 4. Teaching methods: Teaching will be realized through mentor work. Students will independently study selected chapters. Students will take part in ongoing experiments at the Faculty.



1. Holman, J.P. Experimental methods for Engineers McGraw-Hill International Editions

1994

2. Doebelin, E. O. Engineering Experimentation (Planning, Execution, Reporting) McGraw-Hill International Editions

1995

3. Pantelić, Ilija Uvod u teoriju inženjerskog eksperimenta Radnički univerzitet ”Radivoj Ćirpanov”

1976

4. Profos, P. Industiellen Messtechnik, 1974. (Russian translation is available, too).

Vulkan Verlag, Esse 1974

5. Doebelin, E. O. Measurement Systems – Application and Design (third edition) McGraw Hill 1983 6. McGee, T.D. Principles and Methods of Temperature Measurement John Wiley & Sons 1988



Page: 19


Course: Course code DRNI01 ECTS credits: 13

Selected Chapters in Computer Programming Lecturers: Malbaški T.Dušan Course status: O Number of classes Тheory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Acquisition of deep knowledge of contemporary theories of programming and related technologies. 2. Educational outcomes (acquired knowledge): Understanding modern theory of programming and training for the application of acquired knowledge in the development of software systems. 3. Course content/structure: Modern theory of programming. Selected programming paradigm. Technology and development tools to support modern computer programming paradigms. Part of the teaching on the subject is done through independent research and study work in the field of computer programming. Research and study work includes active monitoring of primary scientific sources, possibly writing a paper on computer programming. 4. Teaching methods: Forms of teaching activities are lectures, practical work on the computer, construction projects, and consultations. Using necessary teaching resources during the lectures, subject matter is presented to students by stimulating their active participation as they are required to explain the contents of which they are assigned. The practical part is mastered by students’ work on computer. Students are obliged to do the project alone.

Knowledge evaluation (maximum number of points 100) Pre exam assisgnments Compulsory Points Final examination Compulsory Points Defence of the project Yes 60.00 Oral part of the examination Yes 40.00


1. Different authors Monographs and scientific papers dealing with computer programming

2007



Page: 20


Course: Course code DZ01M ECTS credits: 12

Selected Chapters in Mathematics

Lecturers: Adzic Z. Nevenka, Cvetkovic D. Ljliljana, Doroslovacki D. Rade, Gilezan K. Silvia, Grbic P. Tatjana, Kostic Z. Marko, Kovacevic M. Ilija, Pantovic B. Jovanka, Rajkovic R. Milan, Ralevic M. Nebojsa, Sladoje-Matic I. Natasa, Stojakovic M. Mila, Teofanov Dj. Ljiljana, Uzelac S. Zorica

Course status: I Number of classes Theory: 5 Study and research: 3 Prerequisite courses: None 1. Educational objectives: To acquire knowledge which can be used in professional subjects and practical work, develop and solve mathematical models for engineering courses using the knowledge gained through selected chapters in mathematics. 2. Educational outcomes (acquired knowledge): Student will have been competent enough to develop and solve mathematical models in further professional education. 3. Course content/structure: Student can choose in consultation with programme supervisor, one of the suggested modules: 1. Numerical Mathematics, 2. Optimization, 3. Pattern Recognition, 4. Partial Differential Equations, 5. Nonlinear Equations, 6. Probability, Statistics and Stochastic Processes, 7. elements of Functional Analysis, 8. Combinatorics and Graph Theory 9. Operational Research, 10. Fractional Calculus, Differential Equations of Real Order, 11. Linear Programming, 12. elements of Complex Analysis, 13. Linear Algebra, 14. Differential and Difference Equations, 15. Tensor Calculus, 16. Euclidean and Non-Euclidean Geometry, 17. Logic in Computing, 18. Discrete Mathematics, 19. Higher order Logic, 20. Theory of Mobile Processes, 21. Numerical Methods of Linear Algebra, 22. Fuzzy Sets. Part of the course is in the form of independent research and study in the field of mathematics. Study and research work is based on primary scientific sources, organization and conduction of experiments and statistical data analysis, numerical simulations, and possible paper in the field of mathematics. Theory of fractions. Fractional calculus. 4. Teaching methods: Lectures. (The student can choose in consultation with co-mentor, one or more modules depending on module scope). Consultations. Lectures are organized in combined form. The presentation of the theoretical part is followed by the corresponding examples which contribute to better understanding of the theoretical part. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.



1. Alexander Mood Introduction to the theory of statistics McGraw Hill 2005 2. Athanasios Papoulis Probability, random variables and stochastic processes McGraw Hill 2002 3. I. Kovacevic, N. Ralevic Funkcionalna analiza FTN , Novi Sad 2003 4. N. Ralevic, I. Kovacevic Zbirka resenih zadataka iz funkcionalne analize FTN , Novi Sad 2004 5. M. Stojakovic Slucajni procesi FTN , Novi Sad 1999 6. V.Jevremovic, J. Malisic Statisticke metode u metrologiji I inzinjerstvu Savezni hidrometeoloski zavod,

Beograd 2002

7. Zeidler E. Nonlinear Functional Analysis and Aplications Springer-Verlag,New York Berlin-Heidelberg-Tokyo

1985

8. Zlobec S. Petric J Nelinearno programiranje Naucna knjiga, Beograd 1989 9. Dauxois, M. Peyrard Physics of Solitons Cambridge University Press,

Cambridge, New York 2006

10. Saaty, T. L Modern Nonlinear Equations Dover Publications, Inc., New York 1981 11. N. Ralevic, S. Medic. Matematika1 – drugi deo FTN Novi Sad 2002 12. Heinz-Otto Peitgen, H.

Juergens, D. Saupe Chaos and Fractals Springer Verlag, New York 2004

13. Mileva Prvanovic Osnovi geometrije Gradjevinska knjiga, Beograd 1990



Page: 21


Course: Course code HDOK12 ECTS credits: 14

Automated Identification Technologies Lecturers: Ostojić M. Gordana, Stankovski V. Stevan Course status: E Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: The subject objective is to enable students to understand contemporary approaches to the field of automated identification technology application and research in the field. 2. Educational outcomes (acquired knowledge): The outcome is knowledge and skills acquisition for independent and team scientific and research work in the field. 3. Course content/structure: Marking and recognizing object. Principles of barcode, OCP and RHID technologies. Application of technologies for automated identification. Principles of effective data managing. Designing of system infrastructure for automated identification. Creating business frame for automated identification system implementation. Possibility study and research of conditions influencing limitations in application of technologies for automated identification. Critical analysis of applied technologies for automated identification. 4. Teaching methods: Lectures. (The student can choose in consultation with co-mentor, one or more modules depending on module scope). Consultations. Lectures are organized in combined form. The presentation of the theoretical part is followed by the corresponding examples. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.



1. Ostojić G. Lazarević M, Stankovski S. Ćosić I.

RFID Technology Application in Disassembly Systems

Strojniski vestnik = Journal of Mechanical Engineering

2008

2. Stankovski S. Rakić Skoković M.

Primena RFID tehnologije u automatizovanim sistemima Centar za automatizaciju i mehatroniku

2009

3. Russell E. Adams Sourcebook of automatic identification and data collection

Van Nostrand Reinhold 1997



Page: 22



Movement Control Lecturers: Odri V. Stevan, Ostojić M. Gordana, Stankovski V. Stevan Course status: E Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Introducing students to necessary knowledge for designing and application of movement control systems. 2. Educational outcomes (acquired knowledge): The subject outcome is knowledge that primarily covers linear movement control, sensors, actuators and controlling algorithms used in manipulation tools, machines and system. 3. Course content/structure: Introduction to movement controling. Defining basic categories of movement control in industrial systems (sequential, speed control, control from one spot to the other) Linerar systems of movement with servo pneumatic. Linear systems of movement with servo hydraulics. Linear systems of movement with DC engines. Linear systems of movement with AC engines. Linear system of movement with servo engines. Speed sensors. Position sensors. Preasure sensors. Flow sensors. Other significant industrisl sensors. 4. Teaching methods: Lectures. (The student can choose in consultation with co-mentor, one or more modules depending on module scope). Consultations. Lectures are organized in combined form. The presentation of the theoretical part is followed by the corresponding examples. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Partial examination Yes 50.00 Oral part of the examination Yes 40.00 Defended laboratory practice classes

Yes 10.00


1. Stankovski С., Ostojić G., Tarjan L., Škrinjar D., Lazarević М.

IML Robot Grasping Process Improvement ranian Journal of Science & Technology, Transactions B

2010

2. Tan K. K., T. H. Lee and S. Huang

Precision motion control: Design and implementation, 2nd ed.,

London, Springer 2008

3. Robert H. Bishop The Mechatronics Handbook CRC PRESS 2002 4. Andrzej Pawlak Senzors and Actuators in Mechatronics, Design and

Applications Taylor&Francis 2007



Page: 23



Non Industrial Automation Lecturers: Ostojić M. Gordana, Stankovski V. Stevan Course status: E Number of classes Theory: 5 Study and research work: 4 Prerequisite courses: None 1. Educational objectives: The subject objective is enabling students to understand contemporary approaches to the field of automation application in non industrial systems. 2. Educational outcomes (acquired knowledge): The outcome is knowledge and skills for independent and team scientific and research work in the subject field. 3. Course content/structure: Automation in residential and business buildings. Energy consumption control in buildings. Access management. Automation application in education. Partially classes are realized through independent study and research work in the field of non industrial automation. Study and research work includes active following of primary scientific sources, organization and processing of experiments and statistic data processing, as well as paper writing in the subject field. 4. Teaching methods: Lectures. (The student can choose in consultation with co-mentor, one or more modules depending on module scope). Consultations. Lectures are organized in combined form. The presentation of the theoretical part is followed by the corresponding examples. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.



1. Stankovski, S., Tarjan, L., Škrinjar, D., Ostojić, G., Šenk, I.

Using a Didactic Manipulator in Mechatronics and Industrial Engineering Courses

IEEE Transactions on Education

2010

2. Ostojić, G., Stankovski, S., Tarjan, L., Šenk, I.

Development and Implementation of Didactic Sets in Mechatronics and Industrial Engineering Courses

International Journal of Engeneering Education

2010

3. Group of authors Odabrani radovi sa SCI liste 2010



Page: 24


Course: Course code SDI5 ECTS credits: 14

Traffic Collision Theory Lecturers: Spasić T. Dragan Course status: I Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Professor’s intention is through this course to: - expand terms of classic analytical mechanics to the set of general functions (distributions) as well as to involve differential equations of mechanic systems movement with interrupted right sides (differential inclusions) what is directly applied in problems including collision and dry friction, - understand how mechanic methods can be applied in bio system problem analysis which are more complex and principally less defined than technical problems mainly consisting of simple geometric forms, in order to analyse problems that include vehicle collision and participants injuries. 2. Educational outcomes (acquired knowledge): Upon completion of this course student acquires knowledge to: - utilize acquired knowledge in engineering disciplines which as tool use non smooth mechanics, and deal with collision analysis, - recognize through models various movements of real systems, effects of various actions (forces and force coupling, regular and impact), analyse friction and energy balance, as well as to simulate forecasting of various models by using computers, - apply acquired knowledge in analysing movement and collision of actual mechanical systems including biological, i.e., to identify, formulate (idealise practical problems by using appropriate mathematical model) and solve problem in the field covered by following content, with special insight to restrains resulting from entopic inequality,- communicate and work with other engineers on the team. 3. Course content/structure: Elements of collision theory. Derivative in the distribution sense. Distribution model of collision. General Euler-Lagrange equations of second type. Theorem on kinetic energy application on collision. Collision theory of Hertz type – regularization. Zener model. Constrains deriving from Clausius – Duhem inequality. Fremont approach. Herz-Signorini-Moreau law of unilateral contact. Linear complementarity problems. Generated derivative and differential. Different models of force of dry friction. Differential inclusions. Theorem by Phillip. Mechanical systems with forces which are modelled by multi-value functions. Non smooth potentials. Method of wider Lagrange. Application of Gaussian principle. Methods of numerical integration. Moreau algorithm. Human body structure. Mechanical features of biomaterials. Inner forces in human body. Dynamic modelling of human joints with special emphasis on knee and connection neck head. Models for collision analysis with special emphasis on biodynamic response of human body in frontal collision as head response to crash. Air bag models. 4. Teaching methods: Lectures. Mentor work.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Homework Yes 50.00 Oral part of the examination Yes 50.00


1. Ch. Glocker Set valued force laws, Dynamics of non-smooth systems Springer, Berlin 2001 2. R. Leine and H. Nijimeijer Dynamics and bifurcations of non smooth mechanical

systems Springer, Berlin 2004

3. B. Brogliato Non-smooth mechanics Springer, London 1999 4. N. Ayache (ed.) Computational models for the human body Elsevier, Amsterdam 2004



Page: 25


Table 5.1 Course specification аt Doctoral Study Programme Course: Course code DZ01F ECTS credits: 12

Selected Chapters in Physics

Lecturers: Budinski-Petkovic M. Ljuba, Kozmidis-Luburic F. Uranija, Kozmidis-Petrovic F. Ana, Sataric V. Miljko, Vucinic-Vasic T. Mlica

Course status: I Number of classes Theory: 5 Study and research: 3 Prerequisite courses: None 1. Educational objectives: To acquire the knowledge of physics which is applied in modern engineering. 2. Educational outcomes (acquired knowledge): The students will have acquired the knowledge which enables them to develop models for solving problems in practical professional work as well as evolvement in science and research work in the corresponding areas. 3. Course content/structure: Student can choose in consultation with programme supervisor, one of the suggested modules: 1. Lasers, their applications in engineering, 2. Quantum tunnelling effect and applications, 3. Quantum dots, wires and tubes, Applications in nanotechnologies, 4. New materials, amorphous materials, spin glass, 5. Natural and artificial polymers and their application in nanotechnologies, 6. Numerical method of statistics physics, random number generator. Monte Carlo simulation. 4. Teaching methods: Lectures. (The student can choose in consultation with co-mentor, one or more modules depending on module scope). Consultations. Lectures are organized in combined form. The presentation of the theoretical part is followed by the corresponding examples. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.



1. K. Binder, D.W. Heermann Monte Carlo Simulation in Statistical Physics Springer-Verlag 1988



Page: 26


Course: Course code SID04 ECTS credits: 2

Current Issues in Scientific Field Lecturers: Katić A. Vladimir Course status: Number of classes Тheory: 0 Study and research: 2 Prerequisite courses: None 1. Educational objectives: Introducing students to current research directions and ways of solving problems from a wider field of study. 2. Educational outcomes (acquired knowledge): Knowledge of current trends in the world of research in the field based on the lectures of professors from top universities in Europeand distinguished experts from well-known companies from abroad. 3. Course content/structure: Current topics of research, presented by distinguished professors and experts on the invited lectures. Student chooses topics and attends lectures by his own will or topics authenticity. 4. Teaching methods: Displaying resolution of current problems by theoretical methods and multimedia presentation.

Knowledge evaluation (maximum number of points 100) Pre exam assisgnments Compulsory Points Final examination Compulsory Points Homework Yes 70.00 Oral part of the examination Yes 30.00


1. Group of authors Journals from SCI list IEEE Publishing, et al. 2008



Page: 27


Course: Course code DM 406 ECTS credits: 14

Nonsmooth Mechanics and Optimization Lecturers: Spasić T Dragan Course status: E Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Application of nonsmooth mathematical analysis in studying of mechanical systems movement and acquiring optimal solutions. 2. Educational outcomes (acquired knowledge): Ability to analyse system with unilateral limit movement, in the presence of regular and impact force, with or without dry friction. 3. Course content/structure: Elements of nonsmoothe mathematical analysis: general and multivalue functions. Unilateral functions. Differential equations. Differential inclusions. Complementar formulations. Systems with unilateral limitations. Variational principles and unilateral limitations. Collision of two or more bodies. Moor's process. Stability of nonsmooth dynamic systems with unilateral limitations. Quazidifferential functions and sets. Quazidifferential optimization. Algorithms of nonsmooth optimization. Application in robotics in theory of oscillation and economy. 4. Teaching methods: Lectures. Mentor work.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Homework Yes 50.00 Oral part of the examination Yes 50.00


1. B. Brogliato Nonsmooth mechanics, models, dynamics and control Springer London 1999 2. MDP Monteiro Marques Differential inclusions in nonsmooth mechanical problems Birkhauser 1993 3. Demyanov Stavroulakis Polykova

Panagiotopoulos Quasidifferntiability and nonsmooth modelling in mechanics, engineering and economics

Kluwer 1996



Page: 28


Course: Course code HDOK-1 ECTS credits: 14

Selected Chapters in Industrial Robotics Lecturer: Borovac A.Branislav Course status: O Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: The goal of the course is that, in accordance with their prior knowledge and interests, students learn about traditional and new areas ofindustrial robotics and to introduce the research problem. 2. Educational outcomes (acquired knowledge): The outcome of the course are the knowledge and ability of students to understand the issues, particularly the advanced field of industrial robotics and to get involved into research work in this field of study. 3. Course content/structure: Basic concepts and definitions, homogeneous transformations, robot kinematics (direct and inverse problem), Denavit-Hartenbergova notation, Jacobians, synthesis trajectory, the dynamics of robots, robot control, robot programming, sensors in robotics and their application, the application of robots in industrial tasks. Part of the teaching activity on the subject is a self-study research in the field of industrial robotics. Study research includes active monitoring of the primary scientific sources, organization and execution of experiments and statistical data processing, numerical simulation, writing a paper with a topic close to the scientific and teaching area of the subject of student's doctoral dissertation. 4. Teaching methods: Depending on the number of students teaching activity may have a classic approach (lectures, consultations), or mentoring. Forms of teaching activity are adapted to the number of students and selected chapters. Study research.

Knowledge evaluation (maximum number of points 100) Pre exam assignments Compulsory Points Final examination Compulsory Points Seminar paper Yes 50.00 Oral part of the exam. Yes 50.00

Literature No. Author Title Publisher Year 1. M.Vukobratović, D.Stokić Control of Manipulation Robots Springer, ISBN 3-540-

11629-X, ISBN 0-387-11629-X

1982

2. M.Vukobratović, M.Kirčanski Kinematics and Trajectory Synthesis of Manipulation Robots,

Springer Verlag, ISBN 3-540-13071-3

1986

3. M.Vukobratović, D.Stokić, M.Kirčanski

Non-adaptive and Adaptive Control of Manipulation Robots

Springer, ISBN 3-540-13073-X,ISBN 0-387-130

1985

4. M. Spong, S. Hutchinson, M. Vidyasagar

Robot Modelling and Control John Wiley & Sons, ISBN-10 0-471-64990-2, ISBN-13

2006

5. L. Sciavicco, B. Sicilijano Modelling and control of robot manipulators Springer - Verlag, ISBN 1-85233-221-2

2000

6. B.Borovac, G.Đorđević, M.Rašić, M.Raković

Industrijska robotika in preparation 2007

7. B.Borovac, G.Đorđević, M.Rašić, M.Raković

Zbirka zadataka iz industrijske robotike in preparation 2007



Page: 29



Engineering of Renewable Energy Sources in Agriculture Lecturers: Đurić N. Slavko, Martinov L. Milan, Vujić V. Zoran Course status: E Number of classes Theory: 5 Study and research: 3 Prerequisite courses: None 1. Educational objectives: Knowledge acquisition on energy balance, ecological and economic aspects of renewable energy sources application in agriculture. 2. Educational outcomes (acquired knowledge): Knowledge on contemporary possibilities of using renewable energy sources in agriculture. 3. Course content/structure: Energy situation in the world, state and perspective. Using and perspectives of renewable energy soruces. Type and potentials of renewable energy sources. Communal, indusrtial and agricultural waste as an energy sources. Solar energy. Wind energy and other alternative energy sources. Solid, liquide and gas fuels as energy sources. Wind energy, geothermal energy and toher alternative energy sources. Ecological aspects of using alternative energy sources. International and national policy on how to encourage using renewable energy sources. 4. Teaching methods: Lectures. (The student can choose in consultation with co-mentor, one or more modules depending on module scope). Consultations. Lectures are organized in combined form. The presentation of the theoretical part is followed by the corresponding examples. In addition to lectures there are regular consultations. Through research and study work the student will, on the bases of scientific journals and other relevant literature that has been studied independently, develop further understanding of the material covered in lectures. Working with the course teacher the student develops the ability to independently work on a scientific paper.



1. Kaltschmitt, M., Hartmann, H. Energie aus Biomasse, Grundlagen, Techniken und Verfahren

Springer, Berlin 2001

2. Bakker-Arkema, F.W. CIGR Handbook of Agricultural Engineering, Volume IV Agro-Processing Engineering

American Society of AgEng, St. Joseph

1999



Page: 30



Advanced Application of ICT in Agriculture Lecturers: Martinov L. Milan, Radović R. Jelena Course status: E Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Acquired knowledge on application of information and communication technologies in agriculture. 2. Educational outcomes (acquired knowledge): Knowledge on requirements in controlling, problems and solutions of agricultural machines and processes. 3. Course content/structure: Subject introduction, intorducing to the subject schedule and students assignments. Fundamentals in technology of agricultural production. Ecological, economic and organizational requirements for operations management. IT appicaton in tractors. Strategy of tractor controling. Agricultural BUS systems. Standards, CAN in agriculture. IT in land cultivation. IT in technologies and machines for inputs in agricluture. Strategies for controling combination tractor and operation machines. Web sites in the field of application IT in agricultural mechanical engineering. 4. Teaching methods: Auditory classes with necessary consultations.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Lectures attendance Yes 10.00 Oral part of the examination Yes 60.00 Seminar paper Yes 30.00


1. Schön, H. Elektronik und Computer in der Landwirtschaft Eugen Ulemer, Stuttgart 1993 2. Auernhammer, H. Elektronik in Traktoren und Maschinen BLV Verlagsgesellschaft,

München 1991

3. Munack, A. CIGR Handbook of Agricultural Engineering, Volume VI Information Technology

American Society of Agricultural Eng, St. Joseph

2006

4. Kamp, P., Timmerman, G.J. Computerised Environmental Control in Greenhouses PTC+, Ede 2003



Page: 31



Sustainable Biosystems Engineering Lecturers: Martinov L. Milan, Turk Sekulić M. Maja Course status: E Number of classes Theory: 5 Research and study work: 4 Prerequisite courses: None 1. Educational objectives: To acquire knowledge on sence and needs for locationaly specific agriculture. 2. Educational outcomes (acquired knowledge): Acquired knowledge on locationaly specific agriculture, procedures, machines and equipment. 3. Course content/structure: Subject introduction, introduction to subject schedule and students assignments. Fundamental principles of locational specific agricultural production. Defining of ecological, economical and ethical principles of precise agricultural production. Identification of location specific resources and needs. Procedures for defining local resources and needs. Identification of state and quality of the land and other resources. Locating processes of resources and objects, GPS and DGPS, satellite system, precision. GIS and planning procedures for implementation of precise agrucultural production. Integral principles of precise agricultural production. Web sites in the field of Precision Farming. 4. Teaching methods: Auditory classes, Power Point Presentation.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Lectures attendance Yes 10.00 Oral part of the examination Yes 60.00 Seminar paper Yes 30.00


1. Anonim Yearbook Agricultural Engineering KTBL, LAV, VDI-MEG 2007 2. Anonim Yearbook Agricultural Engineering KTBL, LAV, VDI-MEG 2006 3. Aurenhamer, H. Elektronik in Traktoren und Maschinen Verlagsunion Agrar, München,

Wien, Zürich 1991

4. Schön H. Elektronik und Computer in der Landwirtschaft Verlag Eugen Ulmer 1993



Page: 32



Sustainable Agriculture Tractors Lecturers: Đurić N. Slavko, Martinov L. Milan Course status: E Number of classes Theory: 5 Research and study: 3 Prerequisite courses: None 1. Educational objectives: Acquiring knowledge on tractors as complex engineering systems for sustainable agriculture, their selection and utilization. 2. Educational outcomes (acquired knowledge): Acquiring basic knowledge on contemporary concept, designing and utilization of tractors for sustainable agriculture. 3. Course content/structure: Tractor building concept and functional units review. Specific characteristics of tractor engines. Composition of tractor transmision, specific characteristis of parts of transmission, main connector, driving bridges, power distributer. Tractor pneumatics. Systems of control and breaking. Tractor ergonomic, noise, vibrations, micro climate and tractor stabilita and protection. Machine joining to the tractor. PTO of tractor. Hydraulic system of tractors, specific characteristics. Tractor evaluation from the point of view of change efficiency and environment protection. Tractor safety. Moderna tractor electronics. 4. Teaching methods: Auditory classes and consultations.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Partial examination Yes 45.00 Oral part of the examination Yes 45.00 Lectures attendance Yes 10.00


1. Stout, A. CIGR Handbook of Agricultural Engineering, Volume III Plant Production Engineering

American Society of Agricultural Eng, St. Joseph

1999

2. Auernhammer, H. Elektronik in Traktoren und Maschinen BLV Verlagsgesellschaft, München

1991



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Selected Chapters in Non-industrial Robotics Lecturer: Borovac A.Branislav Course status: O Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: The goal of the course is that, in accordance with their prior knowledge and interests, students learn about new areas of non-industrial robotics, which is every day getting more and more important, and to introduce the research problem. 2. Educational outcomes (acquired knowledge): The outcome of the course is the knowledge and ability of students to understand the problems of non-industrial robotics and to getinvolved into research work in this field of study. 3. Course content/structure: According to the interest of the most of the students some of the following topics will be discussed: review of potential applications of service robots (in the household, construction, hazardous environment, robots for inspection, rescue robots, autonomous robots ...), management and regulation in biological systems, comparison "control architecture" of biological systems and autonomous robots, types of autonomous robots in terms of the way of movement (robots on wheels and caterpillars, robots that jump, snakelike robots, flying robots, and bipedal locomotion robots, ...), robot learning, " Behavior-based robotics, "which is a new approach that tries to control robots in non structured surrounding such as the human environment, grasping and manipulation with trapped objects, humanoid robots. Part of the teaching activity on the subject is a self-study research in the field of non-industrial robotics. Study research includes active monitoring of the primary scientific sources, organization and execution of experiments and statistical data processing, numerical simulation, writing a paper with a topic close to the scientific and teaching area of the subject of student's doctoral dissertation. 4. Teaching methods: Depending on the number of student teaching activity may have a classic approach (lectures) or mentoring (consultation). Forms of teaching activity are adapted to the number of students and selected chapters. Study research.

Knowledge evaluation (maximum number of points 100) Pre exam assignments Compulsory Points Final examination Compulsory Points Seminar paper Yes 50.00 Oral part of the exam Yes 50.00

Literature No. Author Title Publisher Year 1. George A. Bekey Autonomous robots – From biological inspiration to

implementation and control The MIT Press, ISBN 0-262-02578-7

2005

2. Rodney A. Brooks Cambrian Intelligence – The Early History of the New AI A Bradford Book, The MIT Press

1999

3. Ronald Arkin Behavior-based Robotics The MIT Press, ISBN 0-262-01165-4

1998

4. Vukobratović M., Borovac B., Surla D., Stokić D.

BIPED LOCOMOTION -Dynamics, Stability, Control and Application

Springer, ISBN 0-540-17456-7,ISBN 0-387-1745

1990



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Course: Course code D0M02 ECTS credits: 14

Selected Chapters in Automated Systems Integration Lecturers: Ostojić M. Gordana, Stankovski V. Stevan Course status: E Number of classes Theory: 5 Study and research: 4 Prerequisite courses: None 1. Educational objectives: Acquiring knowledge on tools integration for automated systems. 2. Educational outcomes (acquired knowledge): Acquired knowledge enables integration of devices used in automated systems. 3. Course content/structure: Principles and strategies of automated systems: Industrial managmenet systems: Automated systems for data collecting: Flexible production systems: Competitive engineering. 4. Teaching methods: Classes are realized as lectures and laboratory practical classes. During practical classes students are required to perform practice-oriented exercises. Knowledge testing is performed through project and exercises. Prerequisites for the final examination are project and defended exercises.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Project defence Yes 70.00 Theoretical part of the examination Yes 30.00


1. Groover P. Mikkell Automation Production Systems and Computer Integrated Manufacturing

Prentice Hall 2003

2. Turban Efraim, McLean Efraim, Wetherbe James

Informaciona tehnologija za menadžment Zavod za udžbenike i nastavna sredstva

2003



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Selected Chapters in Operation Processes Automation Lecturers: Buchmeister -. Borut, Čuš -. Franci, Katalinić -. Branko, Palčič -. Iztok, Šešlija D. Dragan Course status: E Number of classes Theory: 5 Research and study: 4 Prerequisite courses: None 1. Educational objectives: The subject objective is acquiring current knowledge in the field of processes operation automation used in production and service systems. 2. Educational outcomes (acquired knowledge): The subject outcome is the knowledge which enable students to systematically perform process operation automation in modern production and service systems as well as knowledge and ability to work independenty and as a part of a team. 3. Course content/structure: Pneumatic, hydraulic and electrical systems of automation. Energy efficiency of pneumatic systems. Air quality under preasure. Corelation of demand for air quality under preasrue. Effective filtration of air under pressure. Filtering automation. Vacuum technologies in automation. 4. Teaching methods: Classes will be realized through lectures and consultations. Knowledge testing is carried out through project defence and taking of final examination. Prerequisite for taking the final examination is successful project defence. Final examination is in a form of a written test and is related to the theoretical questions.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Project Yes 70.00 Theoretical part of the examination Yes 30.00


1. Groover P. Mikkell Automation Production Systems and Computer Integrated Manufacturing

Prentice Hall 2003

2. М. Stojiljković Logička sinteza pneumatskog upravljanja Mašinski fakultet, Niš 2002 3. Šešlija, D., Lagod, B. Stanje pneumatskih sistema u industriji Srbije sa aspekta

energetske efikasnosti Centar za automatizaciju i mehatroniku, Novi Sad

2006



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Preparation for the Application of Doctoral Dissertation Topic

Lecturers: Katić A. Vladimir Course status: O Number of classes Theory: 0 Study and research: 2 Prerequisite courses: None 1. Educational objectives: Overview of situation in the area of the proposed topic for doctoral dissertation based on the scientific literature analysis – books, monographs, papers in referential journals, papers from conference proceedings, available documentation at websites, etc. The objective is to overview the possibilities of the thesis and scientific potential of the topic. 2. Educational outcomes (acquired knowledge): Study on the potentials of the proposed doctoral dissertation topic, i.e. the systematized knowledge in the area of the research topic for doctoral dissertation, as well as clear directions in further research on the topic. 3. Course content/structure: Defining the wider area of the doctoral dissertation topic and key motives for research. Overview of literature on the basis of available scientific books, monographs, papers in referential journals, papers from conference proceedings, available documentation at websites, etc. Study on the potentials of the proposed doctoral dissertation topic. 4. Teaching methods: Teaching is performed as tutorials.



1. Acknowledged scientists and professionals in the area of doctoral dissertation topic

Various scientific literature 2008



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Doctoral Dissertation (Theoretical Bases) Lecturers: Course status: O Number of classes Theory: 0 Study and research: 20 Prerequisite courses: None 1. Educational objectives: The application of fundamental, theoretical and methodological, scientific and professional, and professional and applicative knowledge, methods and contemporary knowledge from the magazines from the SCI list in order to solve concrete problems within the courses at Doctoral studies. 2. Educational outcomes (acquired knowledge): Enabling students to individually connect the contents from the courses at Doctoral studies, apply previously acquired as well as new knowledge for observing the structure of the set problems and its systematic analysis in order to elaborate conclusions on possible directions in its solving. Through individual usage of literature, students broaden their knowledge and utilizing new methods individually and creatively, they use new knowledge in solving the set problems. 3. Course content/structure: It is formulated individually in accordance with further research. Students read scientific literature, and perform analyses in order to find solutions for a concrete task which is defined by setting the task on the side of the supervisor and other lecturers at Doctoral studies. Theoretical bases present a classification examinations. Students are prepared to take the classification examination. 4. Teaching methods: Student’s co-supervisor sets the seminar paper task and delivers it to the student. The student has the obligation to elaborate the paper within the set theme defined by the paper task, utilizing the literature proposed by the co-supervisor. During the paper elaboration, the co-supervisor can provide additional instructions to the student direct them to certain literature and additionally direct them towards the elaboration of a quality paper. During the study research work, the student has tutorials with the co-supervisor and course lecturers, and if needed, with other lecturers dealing with the problems in the field of the set paper task. Within the set theme, the student can also perform certain measuring, research, calculations, surveys and other researches, statistic data processing, if it is necessary for the task. After the defence of the paper, the candidate has to pass the oral examination in the field of the passed examinations, in front of a committee. If the examination is passed, the student is qualified for further studies.



1. group of authors Magazines from the Kobson list 2. group of authors Magazines and Doctoral dissertations in the set field



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Doctoral Dissertation – Study and Research Lecturers: Course status: O Number of classes Theory: 0 Study and research: 30 Prerequisite courses: None 1. Educational objectives: The application of fundamental, theoretical and methodological, scientific and professional, and professional and applicative knowledge and methods in solving concrete problems within the selected field. In this segment of Doctoral dissertation, students investigate the problem, its structure and complexity and on the basis of the performed analyses draw conclusions on possible manner in its solving. Researching the literature, students are introduced to methods attended for creative solving of new tasks and the engineering practice in their solving. The objective of students’ activity within this segment of research is to acquire necessary experience through solving complex problems and tasks and recognizing the possibility for applying previously acquired knowledge in practice. 2. Educational outcomes (acquired knowledge): Enabling students to individually apply previously acquired knowledge from diverse areas already studied in order to observe the structure of the set problem and its systematic analysis for drawing conclusions on possible directions in its solving. Through individual usage of literature, students broaden their knowledge from the selected field 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. Practical application of the acquired knowledge from diverse areas develops in students the ability to overview the place and the role of engineers in the selected field, the demand for cooperation with other professions and the team work. 3. Course content/structure: It is formulated individually in accordance with the elaboration of the concrete Doctoral dissertation, its complexity and structure. Students read scientific literature, 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. 4. Teaching methods: The supervisor of the Doctoral dissertation sets the dissertation task and delivers it to the student. The student has the obligation to elaborate the dissertation within the set theme defined by the Doctoral dissertation task, utilizing the literature proposed by the supervisor. During the elaboration of the Doctoral dissertation, the supervisor can provide additional instructions to the student direct them to certain literature and additionally direct them towards the elaboration of a quality Doctoral dissertation. During the study research work, the student has tutorials with the supervisor, and if needed, with other lecturers dealing with the problems in the field of the set dissertation task. Within the set theme, the student can also perform certain measuring, research, calculations, surveys and other researches, statistic data processing, if it is predicted by the task of the Doctoral dissertation.






Page: 39



Doctoral Dissertation – Study and Research Lecturers: Course status: O Number of classes Theory: 0 Студијско истраживачки рад: 10 Prerequisite courses: None 1. Educational objectives: The continuation of study and research from previous semester. The application of fundamental, theoretical and methodological, scientific and professional, and professional and applicative knowledge and methods in solving concrete problems within the selected field. In this segment of Doctoral dissertation, students investigate the problem, its structure and complexity and on the basis of the performed analyses draw conclusions on possible manner in its solving. Researching the literature, students are introduced to methods attended for creative solving of new tasks and the engineering practice in their solving. The objective of students’ activity within this segment of research is to acquire necessary experience through solving complex problems and tasks and recognizing the possibility for applying previously acquired knowledge in practice. 2. Educational outcomes (acquired knowledge): Enabling students to individually apply previously acquired knowledge from diverse areas already studied in order to observe the structure of the set problem and its systematic analysis for drawing conclusions on possible directions in its solving. Through individual usage of literature, students broaden their knowledge from the selected field 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. Practical application of the acquired knowledge from diverse areas develops in students the ability to overview the place and the role of engineers in the selected field, the demand for cooperation with other professions and the team work. 3. Course content/structure: It is formulated individually in accordance with the elaboration of the concrete Doctoral dissertation, its complexity and structure. Students read scientific literature, 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. 4. Teaching methods: The supervisor of the Doctoral dissertation sets the dissertation task and delivers it to the student. The student has the obligation to elaborate the dissertation within the set theme defined by the Doctoral dissertation task, utilizing the literature proposed by the supervisor. During the elaboration of the Doctoral dissertation, the supervisor can provide additional instructions to the student direct them to certain literature and additionally direct them towards the elaboration of a quality Doctoral dissertation. During the study research work, the student has tutorials with the supervisor, and if needed, with other lecturers dealing with the problems in the field of the set dissertation task. Within the set theme, the student can also perform certain measuring, research, calculations, surveys and other researches, statistic data processing, if it is predicted by the task of the Doctoral dissertation.

Knowledge evaluation (maximum number of points 100) Prerequisites Compulsory Points Final examination Compulsory Points Pre exam assignments Yes 50.00 Oral part of the examination Yes 50.00 Seminar paper Yes





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Standard 05. Curriculum Curriculum Structure

No. Study programme / Optional field - Module Initial semester

ECTS credits Lectures

1. Mechatronics 1 180-181 102



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Table 5.2 Course distribution over semesters and years of study for doctoral study programme Study programme: Mechatronics

Classes No. Course

code Course title S Status P SIR ECTS

First year 1 DZ001 Scientific Research Method 1 O 0 3 5 2 DZ0I1 Selective course 1 (1 of 2) 1 IB 5 3 12 DZ01M Selected Chapters in Mathematics 1 I 5 3 12 DZ01F Selected Chapters in Physics 1 I 5 3 12

3 HDR0 Selective course (1 of 12) 1 IB 5 4 13-14

DAU001 Selected Chapters in Telecommunciations and Signal Processing 1 I 5 4 13

DAU002 Selected Chapters in Computer Scince 1 I 5 4 13 DAU003 Selected Chapters in Mechanics 1 I 5 4 13 DAU004 Selected Chapters in Mathematic 2 1 I 5 4 14 DE109 Selected Chapters in Electromotor Drive 1 I 5 4 13 DE111 Algorithms of Digital Signal Processing 1 I 5 4 13 DM302 Experimental Engineering Methods 1 I 5 4 13 DRNI01 Selected Chapters in Programming 1 I 5 4 13 HDOK12 Technologies for Automated Identification 1 I 5 4 13 HDOK13 Movement Control 1 I 5 4 14 HDOK14 Non industrial Automation 1 I 5 4 14 SID5 Collision Theory 1 I 5 4 14

4 HDR1 Selective course 3 (1 of 13) 2 IB 5 4 14 DM406 Non smooth Mechanics and Optimization 2 I 5 4 14 HDOK-1 Selected Chapters in Industrial Robotics 2 I 5 4 14 HDOK10 Engineering of Renewable Energy Sources in Agriculture 2 I 5 4 14 HDOK11 Engineering of Renewable Energy Sources 2 I 5 4 14 HDOK12 Technologies for Automated Identification 2 I 5 4 14 HDOK13 Movement Control 2 I 5 4 14 HDOK14 Non industrial Automation 2 I 5 4 14 HDOK-8 Engineerign of Sustainable Biosystems 2 I 5 4 14 HDOK-9 Tractors for Sustainable Agriculture 2 I 5 4 14 SDI5 Collision Theory 2 I 5 4 14 HDOK-2 Selected chapters in non industrial Robotics 2 I 5 4 14 HDOK-3 Selected chapters in Automated Systems Integration 2 I 5 4 14 HDOK-4 Selected chapters in Working Processes Automation 2 I 5 4 14

5 Selective course 4 (1 of 13) 2 IB 5 4 14 DM406 Non smooth Mechanics and Optimization 2 I 5 4 14 HDOK-1 Selected Chapters in Industrial Robotics 2 I 5 4 14 HDOK10 Engineering of Renewable Energy Sources in Agriculture 2 I 5 4 14 HDOK11 Engineering of Renewable Energy Sources 2 I 5 4 14 HDOK12 Technologies for Automated Identification 2 I 5 4 14 HDOK13 Movement Control 2 I 5 4 14 HDOK14 Non industrial Automation 2 I 5 4 14 HDOK-2 Selected chapters in non industrial Robotics 2 I 5 4 14 HDOK-3 Selected chapters in Automated Systems Integration 2 I 5 4 14 HODOK-4 Selected chapters in Working Processes Automation 2 I 5 4 14 HODOK-8 Engineerign of Sustainable Biosystems 2 I 5 4 14 HODOK-9 Tractors for Sustainable Agriculture 2 I 5 4 14 SID5 Collision Theory 2 I 5 4 14

6 SID04 Current State in the Field 2 I 5 4 14 Total number of active classes: 39-40

Total number of ECTS credits: 60



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Standard 05. Curriculum Table 5.2 Course distribution over semesters and years of study for doctoral study programme

Study programme: Mechatronics

Classes No. Course


Second year 7 HDR3 Selective course 4 (1 of 13) 3 IB 5 4 14 DM406 Non smooth Mechanics and Optimization 3 I 5 4 14 HDOK-1 Selected Chapters in Industrial Robotics 3 I 5 4 14 HDOK10 Engineering of Renewable Energy Sources in Agriculture 3 I 5 4 14 HDOK11 Engineering of Renewable Energy Sources 3 I 5 4 14 HDOK12 Technologies for Automated Identification 3 I 5 4 14 HDOK13 Movement Control 3 I 5 4 14 HDOK14 Non industrial Automation 3 I 5 4 14 HDOK-2 Selected chapters in non industrial Robotics 3 I 5 4 14 HDOK-3 Selected chapters in Automated Systems Integration 3 I 5 4 14 HODOK-4 Selected chapters in Working Processes Automation 3 I 5 4 14 HODOK-8 Engineerign of Sustainable Biosystems 3 I 5 4 14 HODOK-9 Tractors for Sustainable Agriculture 3 I 5 4 14 SID5 Collision Theory 3 I 5 4 14

8 Selective course 5 (1 of 13) 3 IB 5 4 14 DM406 Non smooth Mechanics and Optimization 3 I 5 4 14 HDOK-1 Selected Chapters in Industrial Robotics 3 I 5 4 14 HDOK10 Engineering of Renewable Energy Sources in Agriculture 3 I 5 4 14 HDOK11 Engineering of Renewable Energy Sources 3 I 5 4 14 HDOK12 Technologies for Automated Identification 3 I 5 4 14 HDOK13 Movement Control 3 I 5 4 14 HDOK14 Non industrial Automation 3 I 5 4 14 HDOK-2 Selected chapters in non industrial Robotics 3 I 5 4 14 HDOK-3 Selected chapters in Automated Systems Integration 3 I 5 4 14 HODOK-4 Selected chapters in Working Processes Automation 3 I 5 4 14 HODOK-8 Engineerign of Sustainable Biosystems 3 I 5 4 14 HODOK-9 Tractors for Sustainable Agriculture 3 I 5 4 14 SID5 Collision Theory 3 I 5 4 14

9 SID05 Preparation of the Report Topic of Doctoral Dissertation 3 O 0 2 2 10 SDI01 Doctoral Dissertation (Theoretical Bases) 4 O 0 20 30

Total number of active classes: 40 Total number of ECTS credits: 60



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Table 5.2 Course distribution over semesters and years of study for doctoral study programme Study programme: Mechatronics

Classes No. Course


Third year 11. SID02 Doctortal Dissertation – Study and Research 5 O 0 30 30 12. SID03 Doctortal Dissertation – Study and Research 6 O 0 10 10 13. DZR03 Doctortal Dissertation– Elaboration and Defence of Doctoral Dissertation 6 O 0 0 20

Total number of active classes: 40 Total number of ECTS credits: 60

S – semester when the course is offered Course status: О - оbligatotry, I – selective course, IB – selective block, ОZ – obligatory course common for several modules if the programme has modules, IBZ – selective common for several modules if the programme has modules, ОМ – obligatory for the module, IBM – slective block of modules Minimal number of active classes at the year of study is 20 per week Minimal number od ECTS credits is 60 per year Оf the total numer of active classes at the doctoral study programme as a rule 25% should be devoted to lectures. At the final year of doctoral studies active classes can be composed solely of study and research work whichis directly related to the devlopment of dostoral dissertation. The devlopment of dostoral dissertation is presented only in ECTS credits.



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Standard 06. Quality, Contemporariness and International Coordination of the Study Programme The study programme is in accordance with current global scientific trends and profession, and it is comparable with similar international high education institutions. The study programme of Mechatronics is designed in a comprehensive way and offers students latest scientific and professional knowledge in the field. The study programme of Mechatronics is comparable to: 1.http://www.et.tu-dresden.de/mechatronik-diplom/ET.html 2.http://www4.tu-ilmenau.de/studienplan/studienplan.php?stg=BA_Mechatronik, 3.http://www.engineering.uwaterloo.ca/departments.html http://www.mechatronics.uwaterloo.ca/home.html http://mme.uwaterloo.ca/~mechatro/

The study programme of Mechatronics is formally and structurally in accordance with the adopted specific accreditation standards in terms of enrollment, study lasting, diploma issuing and ways of studying.



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Standard 07. Enrolment of Students

In accordance with social needs and its resources, the Faculty of Technical Sciences enrols a number of students to the Doctoral Academic Studies in Mechatronics either to the budget financing of studies or self-financing which is defined each year by a special decision of Educational-Scientific Council of the Faculty. Enrolment Commission consists of Head of doctoral studies of the Faculty and the Head of all doctoral study programmes at the Faculty.

The first year of doctoral studies may be enrolled by a person who has:

• the completed undergraduate academic and graduate academic studies in the field of mechanical engineering with at least 300 ECTS credits and grade point average not less than 8.00 on the undergraduate academic and graduate academic studies - Master or equivalent grade from other rating systems, or if one belongs to 20% of the best students in the generation; or

• the academic title of Master of Science in the scientific field of civil engineering and if the student has not obtained the PhD degree by earlier legislation within the period established by the law.

• person who completed studies according to the regulations prior to the Law on higher education can enrol to doctoral studies under the same conditions as the person who holds a diploma of graduate studies – master of studies under the condition that this diploma is equivalent to at least 300 ECTS credits which is proved by a equivalency certificate.

Appropriate graduate academic master studies and scientific fields are determined for each study programme individually. In some exceptional situations enrolment may be allowed to other candidates taking differential exams. The decision on taking differential exams including the character of differential exam is made by the Commission for the enrolment of the study programme. On the basis of average grade and the length of studies, published scientific papers, the Commission for the enrolment forms a list of candidates who applied. The Commission can reach a decision on organizing additional test for candidates in the form of qualification exam. Advantage for budget financing have the candidates who work as research assistants at the Faculty and holders of scholarship of the Ministry of Science and The Provincial Secretariat for Science and Technological Development.

In addition, the candidate is required to know world languages and to have IT skills.

The passed examinations can be acknowledged or partially acknowledged to students of master studies or those with the master of science degrees whose knowledge was acquired by previously existing legislation with amendment which is done by the Commission for enrolment, provided that the candidate has not spent more than four (4) years on Master of science studies.

During enrolment, the student and the Faculty conclude an agreement on the rights and obligations during studies.



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Standard 08. Evaluation and Advancement of Students

The final grade in each course included in this programme is formed by continual monitoring of students’ accomplishments throughout the academic year and by passing the final examination.

Students master the study programme by taking examinations and thus obtaining a certain number of ECTS credits, in accordance with the study programme. Each course within the programme is worth a certain number of ECTS credits which students obtain by successfully passing the course examination.

The number of ECTS credits is based on the quantity and quality of work students are required to submit during a certain course and on the Faculty of Technical Sciences’ unique methodology for all study programmes. Students’ success in mastering a certain course is constantly monitored during classes and is expressed in points. Maximum number of points obtained in a course is 100.

Students obtain points from a course through their work during classes, completion of the prerequisites and taking the examination. The minimal number of points a student can obtain by fulfilling the course prerequisites during classes is 30, the maximum 70.

Each course at the study programme has a clear and transparent mode of obtaining points. There are several ways students can obtain points: by participating in different activities during classes, by fulfilling the course prerequisites and by passing the course examination.

The final success of students at a course is presented with a grade from 5 (fail) to 10 (excellent). The student’s grade is based on the overall number of points obtained on fulfilling prerequisites and taking the examination, and in accordance with the quality of acquired knowledge and skills.

For students to be able to take a course examination, they have to obtain at least 15 ECTS prerequisite credits during the semester. Additional requirements for taking the examination are defined separately for every course.

Studying at the study programme is carried out in the following way: The Head of the Study Programme (the study group), upon admission, assigns for every student a co-mentor

from the existing teaching stuff at the study programme, who will be their councillor until they choose a mentor. At the end of each semester, the co-mentor submits to the Head of the Study Programme a report on the

student’s work at a research project and the achieved results. Admission requirements into the second year of the programme (the third semester) are met by a student

who obtains at least 30 ECTS credits during the first year of studying, with a relative average grade (R) being at least 8.00 (eight 00/100). The relative average grade (R) is calculated based on course grades, relative to the number of credits each course carries (the formula is kept in the Faculty of Technical Sciences’ Rules of Study).

The students who do not fulfil the requirements necessary to be admitted into the second year of studies, but have obtained at least 15 ECTS credits, are given a chance to enrol into the Specialist Academic Studies, after the faculty has recognized all their previously passed exams.

The right to take the qualifying exam in order to be able to write and defend the doctoral dissertation (a research study of the theoretical framework for the doctoral thesis) is given to students who have completed the second year of studies and passed all the examinations within the study programme, 3 academic years after their admission into the programme at the longest, and with a relative average grade no lower than 8.00 (eight 00/100).

The students who do not fulfil the requirements to take the doctoral thesis theoretical framework exam are given a chance, after accrediting all the previously passed exams, to continue the studies at the Specialist Academic Studies.

The research study on the Theoretical Framework for the Doctoral Dissertation is a qualifying examination the student has to pass before he is allowed to start writing the doctoral thesis. The Theoretical Framework exam is taken in written or oral form, by chapters (questions) in at least three courses of the study programme. The list of chapters (questions) that have to be studied for the qualifying exam are sent to the student by the Head of the Study Programme of the Doctoral Studies within 14 days after the student submits a request. The qualifying examination is taken before a three-member jury, three being the minimum number of members, who are appointed by the Head of the Doctoral Studies at the Study Programme Quality Committee’s suggestion. The Theoretical Framework examination cannot be taken sooner than 30 days, upon a student’s request, or later than 12 months after the student has passed his last examination at the study programme.

Exceptionally, if a student publishes an article (or the article is accepted for publication) in a SCI list journal (R51 and R52), They are exempts from the explicit examination process and are given the highest grade 10.

Examinations at the Doctoral Studies cannot be taken more than two times. The writing and defence of the Doctoral Dissertation are the final part of the Doctoral Studies.



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The writing of the Doctoral Dissertation is the final part of the Doctoral Studies. A student who has passes all the examinations prescribed by the study programme with the relative average grade of at least 8.00 (eight 00/100) and has passed the research study on the theoretical framework for the Doctoral Dissertation with at least 8, has the right to submit the topic for his/her Doctoral Dissertation. In addition, the student is expected to have published at lest two papers of the R54 level or one (R51x and R52) before submitting the dissertation topic.

Doctoral dissertation can be submitted in a filed of an accredited study programme. Application of the suggested topic of Doctoral dissertation is submitted at the students office at the

Faculty. Application of the suggested topic includes:

a) candidate’s name and last name with a short biography and information about his/her doctoral studies

b) suggested topic c) suggested mentor d) explanation of topic suggestion which includes: description of the scientific problem to be

researched, current approach in the references, hypothesis to be examined, methodology to be applied

e) list of published scientific and professional papers and the topics. Topics are filed at the form determined by the Senate of the University. Mentor is chosen among professors at the accredited study programme. Mentor’s qualification is determined according to the regulations of the Senate of the University, which are

determined according to Accreditation Commission, in the transition period until January 1, 2009 mentors are required to have at least one scientific paper published in a journal at the SCI list (R51a, R51b and R52) in the field of the doctoral dissertation.

Mentor is obliged to help student with the choice of methods for scientific and research work, references, structure of dissertation and to offer any other professional assistance.

On the basis of the application, on the suggestion of the Study programme Council and with the consent of the Head of doctoral studies at the Faculty, Educational-Scientific Council at the Faculty reaches a decision on forming a commission for topic, student and mentor evaluation. The commission should consist of at least 5 members among which at least one needs to be from a similar higher education institution, outside the Faculty. Majority of members need to be employed at the Faculty.

The candidate is allowed to elaborate his/her dissertation upon acceptance of positive report of the Commission for topic, candidate and mentor evaluation by Educational-Scientific Council at the Faculty, as well as upon acquiring authorized University body consent.

For the purpose of verification of research results during elaboration of dissertation, candidate is obliged to publish several scientific papers in domestic and international conferences and journals among which at least one needs to be published (accepted for publication) in an international journal at SCI list (R51a, R51b and R52), in the field of the dissertation, that is for the field of architecture and art to verify results of his/her scientific work in another way in accordance with the regulations of the profession.

Candidate submits completed doctoral dissertation at the student office at the Faculty not later than 5 years after the topic acceptance.

At the suggestion of the Study programme Council, Educational-Scientific Council at the Faculty forms a Commission for evaluation and defence of doctoral dissertation.

The Commission is obliged to within the period of 60 days write a report, which along with the consent of the Head of Study programme and the text of doctoral dissertation are available to public for 30 days.

The report and complaints are submitted to the Educational-Scientific Council at the Faculty for evaluation, along with the report of appropriate department to the Educational-Scientific Council.

The decision on adopting of the report of the Educational-Scientific Council at the Faculty together with the report is submitted to the appropriate professional council of the University.

The Senate of the University gives consent on the Report and thereby creates conditions for public defense of doctoral dissertation.

For false evaluation of scientific and professional work by the commission for topic suitability and candidate, that is for evaluation and defense, sanctions are stipulated according to the Regulation book on disciplinarian responsibility.



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Standard 09. Teaching Staff

For the realization of the study programme there is a teaching staff with necessary professional and scientific qualifications, verified by the list of scientific papers and data on participation in national and international scientific and research projects. At least half of teachers participate in scientific and research projects. Teachers’ competence is determined on the basis of scientific papers published in international magazines, where at least one paper has been published or accepted to be published in a magazine from the SCI list; scientific papers published in national magazines; papers published in proceedings from international scientific conferences; monographs; patents; textbooks; new products or significant improvements on the existing products.

The supervisor has at least five scientific papers published or accepted to be published in scientific magazines on the given field in the last 10 years. It has been established that a supervisor cannot lead more than five Doctoral dissertation candidates simultaneously. The selection of a supervisor is determined in such a manner that each supervisor ought to have at least 3 papers published in the magazines from the SCI list since January 01, 2009, and at least five papers published in the magazines from the SCI list since January 01, 2010. In the transition period until January 01, 2009, a supervisor ought to have at least one paper in the SCI list magazines.

The number of teachers coincides with the demands of the study programme and depends on the number of courses they lecture and the number of classes at these courses. Out of the total number of necessary teachers is sufficient for all lectures at the study programme, and the teachers have on average 180 classes of active teaching (lectures, consultations, practice classes, practical work, etc) annually, that is 6 classes weekly.

Scientific and professional qualifications of the teaching staff relate to the educational and scientific field and the level of their participation. Each teacher has at least 10 references from the narrow scientific or professional field in which they lecture on the study programme.

No teacher has more than 12 classes per week. All data on teachers and assistants (CV, selections, and references) are available to the public.



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Standard 10. Organization and Funds

To perform the study programme, the adequate human, spatial, technical and technological, library and other resources suitable to the study programme features and predicted students’ number are provided. Lectures at the study programme Mechanical Engineering are organized in two shifts so that the required minimum of 2m2 of space per student is fulfilled.

To perform the study programme, the adequate space for lecturing is provided, as well as the adequate laboratory space necessary for the experimental work and the contemporary equipment necessary for qualitative and productive scientific and research work. Lectures are held in classrooms and specialized laboratories.

Faculty provides the usage of the library fund from its own or other sources (books, monographs, scientific magazines, other periodicals) in the amount necessary for the Doctoral study programme. Doctoral study students have the access to databases necessary for Doctoral dissertation elaboration and scientific and research work.

The library possesses more than 100 library units relevant for the performance of the study programme. All courses from the study programme have adequate textbooks, devices and supplementary equipment available on time and in a satisfactory number for the normal teaching process. There is also adequate information support.

The library possesses more than 100 library units relevant for the performance of the study programme. All courses from the study programme have adequate textbooks, devices and supplementary equipment available on time and in a satisfactory number for the normal teaching process. There is also adequate information support.

Faculty has the library and the study room and provides a seat for each student in amphitheatres, classrooms and laboratories.

Faculty has a short-term and a long-term plan and the budget for the realization of scientific and research work.

Means for the realization of Doctoral studies, besides the ones provided by the resource ministries, are also provided in cooperation with other higher education institutions, accredited scientific institutions and international organizations.

Faculty provides students to utilize equipment or have access to necessary and adequate equipment in the possession of the Faculty, for scientific and research work.

Faculty provides students to utilize equipment or have access to the equipment necessary for scientific and research work on the basis of contracts on cooperation with other appropriate institutions.



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Standard 11. Quality Control

Estimation of the study programme quality is elaborated regularly and systematically via self-evaluation and external quality control. One should place an emphasis on the multi-decade practice of students’ surveys.

Study programme quality control is elaborated in the following manners:

- Surveying students at final lecture from the given course. - Surveying students on the quality of the study programme and logistic support to the studies in the event

of awarding the Diploma. Also, the studying comfort (classroom cleanness and tidiness) is evaluated there.

- Surveying students during the confirmation on completing a year of studies. Then students evaluate the logistic support to the studies.

- Surveying students on enrolling each year of studies. Then students evaluate the study programme at the year they completed in the prior academic year.

- Surveying the teaching and non-teaching staff on the quality of the study programme and the logistic support to the studies. This survey evaluates the work of the Dean’s office, Registrar’s office, library, and other services at the Faculty.

Furthermore, the studying comfort (classroom cleanness and tidiness) is also evaluated.

To monitor the quality of the study programme, there is also a committee with all heads of all Departments participating in the realization of the study programme, together with a student from each study group.

Additional quality is obtained by the obligatory scientific production of candidates. Prior to beginning the defense of the Doctoral dissertation, each candidate is obliged to publish at least 2 (two) papers in the R54 rank (following the categorization provided by the Ministry of Science) and at least one paper in the magazine from the SCI list.



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Standard 11. Quality Control

Table 11.1 Members of the committee for quality control

No. Name and surname Title

1 Ana Kozmidis-Petrović Full professor 2 Bela Sabo Full professor 3 Branislav Borovac Full professor 4 Dušan Petrovački Professor emeritus 5 Jovan Vladić Full professor 6 Mila Stojaković Full professor 7 Miroslav Prša Associate professor 8 Rado Maksimović Full professor 9 Radoš Radivojević Full professor

10 Slobodan Dudić Lecturer 11 Srboljub Simić Full professor 12 Veljko Malbaša Full professor 13 Zora Konjović Full professor 14 Zoran Mitrović Associate professor 15 Dražana Milinković Non-teaching staff 16 Ivana Ignjatović Student 17 Jovan Šulc Student

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