postgraduate doctoral study in the area of … · 2015-04-02 · 2 sveučilište u rijeci •...

POSTGRADUATE DOCTORAL STUDY IN THE AREA OF ENGINEERING SCIENCES, IN THE FIELD OF ELECTRICAL ENGINEERING

Rijeka, January 2015.

2

Sveučilište u Rijeci • University of Rijeka Trg braće Mažuranića 10 • 51 000 Rijeka • Croatia

T: +385 (0)51 406 500 • F: +385 (0)51 406 588 W: www.uniri.hr • E: [email protected]

I. DESCRIPTION OF STUDY PROGRAMME FORM

BASIC INFORMATION

Title of study programme Postgraduate Doctoral Study in the Area of Engineering Sciences, in the Field of Electrical Engineering

study programme coordinator Faculty of Engineering, University of Rijeka

Study programme implementor Faculty of Engineering, University of Rijeka

Type of study programme university

Level of study programme doctoral

Academic/professional degree awarded upon completion of study

Doctor of science

1. INTRODUCTION

1.1 Reasons for launching the study programme

Faculty of Engineering of the University of Rijeka presently implements the Postgraduate Doctoral Study in the area of Engineering Sciences, in the fields of Mechanical Engineering, Naval Architecture and Fundamental Engineering Sciences. Studies in the field of Electrical Engineering have been implemented at the Faculty of Engineering in the form of undergraduate vocational studies since 1987, and in the form of graduate university studies since 1999. Currently, the Faculty of Engineering is implementing the studies in the field of Electrical Engineering at the undergraduate and graduate level and in accordance with the Bologna declaration. Faculty of Engineering has since 1991 until now actively been involved in a number of research projects in the field of Electrical Engineering, supported by the Ministry of Science, Education and Sports and of the National Science Foundation. In collaboration with industrial subjects, Faculty of Engineering has participated in several professional projects and studies. The proposed study programme is based on the tradition of scientific postgraduate studies at the Faculty (since 1971), on the need to pursue further studies at postgraduate level in the field of electrical engineering, and on the needs of the Croatian society for scientific resources in the field of electrical engineering today and in the near future. The proposed postgraduate study programme in the area of Engineering Sciences, in the field of Electrical Engineering aims to provide Masters of electrical engineering graduated at the Faculty of Engineering, and other related institutions in Croatia and abroad, the opportunity to continue the education and further scientific training.

1.2.Evaluation of purposefulness in respect to the market needs in public and private sector

The training of graduate electrical engineers and Masters of electrical engineering since 1999 until today at the Faculty of Engineering of the University of Rijeka has been satisfying the need for highly educated professionals in the field of Electrical Engineering in Primorsko-goranska county and in the neighbouring counties. However, in the same period there has been a growing need for doctors of science in the same area. The initiation of this study will provide larger economic entities (HEP, INA, shipyards, Port of Rijeka) additional training of existing employees, but also employment opportunities for new PhDs. It is also expected that graduated students from the suggested study will further foster innovation and development of new technologies in a number of small and medium enterprises operating in the fields of industrial and naval electronics, embedded systems, information and communication technologies. Faculty of Engineering and other components of the University of Rijeka have been lacking new researchers at Ph.D. level in the field of electrical engineering for many years, and it is expected that a part of the students of the proposed study programme will continue to work at the University of Rijeka.

1.2.1.Connection with the local community (economy, entrepreneurship, civil society)

Existing scientific and professional projects and sustained cooperation with industry and entrepreneurship are the bases and the assumption for the continuity and further development of collaborative research that will be additionally fostered by the proposed study programme. Professionals from the industry are involved in the design and drafting of the proposed study programme, and their cooperation in implementing the study is also foreseen. Cooperation with larger industries (such as HEP, Uljanik shipyard) is expected in the first place, but collaborations with small and medium enterprises are also expected. In particular, small and medium enterprises that were created using the knowledge and results of the research conducted at

3



the Faculty of Engineering, companies that are based on the application of the latest technical solutions, that are creating new products and are employing former students of the Faculty of Engineering will be involved. Students will also have the possibility to research at the university centres such as the Science and Technology Park and the Centre for Advanced Computing and Modelling. The emphasis on multidisciplinary studies and application of innovative technologies in other areas of society, will allow connection with local communities and associations that seek to improve the quality of life of the wider community. Extensive experience of doctoral studies in the field of Mechanical Engineering, Naval Architecture and Fundamental Engineering Sciences, and the cooperation with the local community in these engineering areas will be a link to improve research activities and to broaden the impact of the proposed doctoral study.

1.2.2.Compliance with professional association's requirements (recommendations)

When designing and developing the proposed study programme, the current trends in the development of science, research and technology have been primarily taken into account. The modules Electric Power Systems and New Technologies and Electronic and Information Systems, as well as individual subjects, reflect the basic guidelines of the European Seventh Framework Programme (FP7) in energy and information and communication technologies. Knowledge and technology related to smart electricity grids, renewable energy sources, robotics, embedded systems, assistive technology and electronics are particularly emphasized. The study program has been designed by taking into account The European Charter for Researchers, The Code of Conduct for the Recruitment of Researchers, The Dublin Descriptors, Croatian Qualification Framework (HKO), the capacity of the Faculty and the needs of the Faculty and the Croatian Society for scientific research resources today and in the near future.

1.2.3. Name possible partners outside higher education system that showed interest in the study programme

Through the proposed program of study, the cooperation with scientists and experts from the industry will continue. Employees of the following companies will participate in teaching and research within the proposed study programme and thereby contribute to mutual cooperation and development: HEP, HERA, Ericsson Nikola Tesla. 1.3 Comparability of the study programme with similar programmes of accredited higher education institutions in the

Republic of Croatia and the EU (name and explain comparability of the proposed programme with two programmes, whereas at least one of which should be from the EU (provide their web sites))

Prior to preparing this proposal, the applicant had researched comparable programs at other higher educational institutions, both in Croatia and the EU, including: - University of Edinburgh, UK (http://www.ed.ac.uk/studying/postgraduate/research-degrees/phd); - Imperial College, London, UK (http://www3.imperial.ac.uk/electricalengineering/courses/phd/about/programmestructure); - University of Liverpool, UK (http://www.liv.ac.uk/study/postgraduate/brochures/electrical-engineering.pdf); - Newcastle University, UK (http://www.ncl.ac.uk/postgraduate/research/subjects/elec/courses/501); - Graz University of Technology, Austrija (http://portal.tugraz.at/portal/page/portal/TU_Graz/Studium_Lehre/Studien/Doktoratsstudien/E_Technik_Biomedical_Doctoral_School); - Technical University of Vienna, Austrija (http://doktorat.univie.ac.at/en/faqs/news-details/article/wie-ist-das-phd-doktoratsstudium-aufgebaut-curricula-ects-lehrveranstaltungen-etc/?tx_ttnews[backPid]=82592&cHash=50e8564ae1fef45e641efe570bc2f8ed); - Politecnico di Milano, Italija (http://www.polimi.it/); - Politecnico di Torino, Italija (http://dottorato.polito.it/legislazione.html); - Ecole Centrale de Lyon, Francuska (http://www.ec-lyon.fr/EDEEA-/1/fiche___defaultstructureksup/&RH=ProgPostG); - Grenoble Institute of Technology, Francuska (http://www.grenoble-inp.fr/courses/ecole-doctorale-for-electronics-power-systems-automatic-control-and-signal-processing-eeats--26938.kjsp?RH=INP_EN-FOR-DOCTORS); - Munich University of Technology, Njemačka (http://portal.mytum.de/gs/doktoranden/index_html); - Aalto Unuversity, Helsinki, Finska (https://into.aalto.fi/display/endoctoralelec/Research+fields); - Fakulteta za elektrotehniko, Univerza v Ljubljani, Slovenija (http://fides.fe.uni-lj.si/education/phd-3st.pdf) - Fakulteta za elektrotehniko, računalništvo in informatiko, Univerza v Mariboru, Slovenija (http://www.feri.uni-mb.si/povezava.aspx?pid=988); - Fakultet elektrotehnike i računarstva, Zagreb (http://www.fer.hr); - Fakultet elektrotehnike, strojarstva i brodogradnje, Split (http://orion.fesb.hr/DotNetNuke/LinkClick.aspx?fileticket=UcCKfjshB3Q%3d&tabid=286&mid=797); - Elektrotehniči fakultet, Sveučilište Josipa Jurja Strossmayera, Osijek (http://www.etfos.hr/index.php?poslijediplomski_studij);

4



It was concluded that the proposed PhD program is highly compatible and comparable to the programs of the above listed institutions. A detailed comparison with two Croatian institutions and an institution from the EU is provided below. The doctoral study in electrical engineering of Faculty of electrical engineering in Osijek, The University of Josip Juraj Strossmayer, is comprised of 6 semesters (a 3 year study), during which a student is obliged to obtain 180 ECTS points. It is organized as a full-time study that lasts for 3 years but, if necessary, it can be also organized as a part-time one. Its programme is comprised of lectures, seminars and project work. The entry requirement is a Master of Science diploma in electrical engineering or in any other related field, with a minimum of 300 ECTS points obtained during that study. Upon completion of study, the student becomes fully competent to lead a scientific research, to work in R&D of new technologies or to give lectures on a higher education institution (faculty). The student can chose between two modules, Power Systems and Communication and Computer Technology, during which he gains theoretical background and in-depth knowledge of physical processes. Through the Power Systems module the student gains in-depth knowledge of scientific methods for planning of the development, construction, supervision and control of power systems while, through the Communication and Computer Technology module, student gains in-depth knowledge of scientific methods for analysis, optimization, planning and design of communication and information systems, modern computer architectures and programmes. The ECTS points are obtained by attending and passing the exams and by working on and participating in research-based projects. This doctoral study is of research type and, in accordance with that, the 180 ECTS points are assigned in the following manner: - The total of 48 points for the exams; 12 points are obtained for passing the compulsory exams in the 1st semester, 12 points for passing the compulsory exams in the second one. The reminder of 24 points is obtained for passing the optional exams, chosen in accordance with the research project theme, in the 3rd, 4th and 5th semester. -The total of 132 points for the research; Minimally 72 point should be gained through the published scientific papers concerning the research. 24 points are obtained for a scientific paper published in a journal or on an international congress, 36 points for a B category scientific paper, and 60 points for an A category scientific paper with maximally two co-authors. It should be noted that all the published papers must concern the doctoral thesis theme. The reminder of 60 points is gained through: the qualification exam (10 points), the work on project (10 points), the research work in a foreign scientific institution through the period of 30 or more days (10 points), the approval of doctoral thesis theme (30 points.) The student is obliged to have a minimum of 120 points before starting the procedure for thesis theme acceptance, with the restriction that it cannot be started for at least 4 years since the start of his study. The doctoral thesis must be finished and delivered no later than 5 years since the start in the case of a full-time doctoral study, or no later than 7 years in the case of a part-time one. Concerning the material resources, there are 11 lecture rooms, 15 laboratories and a library. Up to this point, more than 20 mill. HRK have been invested in the laboratory equipment and computers. There are 19 professors employed full-time on the faculty, 6 of them being Full Professor, 7 Associated Professors, and 6 of them being Assistant Professor. There are also 18 external part-time lecturers. Momentarily, there are 8 research projects involving 80 associates (including 16 junior researchers) being carried out under the sponsorship of Ministry of science, education and sports. Based on the analyses of the capacity of the faculty (space, equipment, staff) and economy needs of the city of Osijek, it was concluded that the optimal annual number of new doctoral students was 30. The quality of the doctoral study is constantly being monitored through its quality monitoring system. The total number of exams is 59, from which 6 are fundamental and compulsory for both of the modules, offered during the 1st semester. Beside those compulsory fundamental exams, there are module specific obligatory fundamental exams and optional exams. The Power Systems module has 5 compulsory fundamental exams and offers 16 optional ones, while The Communication and Computer Technology module has 7 compulsory fundamental exams and offers 25 optional ones. Each of the exams is composed of 30 hours of lectures and 15 hours of seminars and exercises in the laboratories and is worth 6 ECTS points. It can be concluded that the proposed study programme of the doctoral study at the Faculty of Engineering at the University of Rijeka is highly comparable with the doctoral study of the Faculty of electrical engineering in Osijek, especially in the parts concerning the study programme structure, the distribution of ECTS points, the number and similarity of the modules and of the exams, as well in the part concerning human and material resources. The central component of the university doctoral studies at the Faculty of Electrical Engineering and Computing in Zagreb (http://www.fer.unizg.hr) is the scientific research and creation. A PhD student selects 5 courses, each with 6 ECTS credits, usually in the first and the second semester. The PhD student selects and actively participates in a research seminar in their area of research in all six semesters of study. The PhD student is required to present a seminar at least once during each

5



academic year. Qualifying examination is taken during the first year of study. Passed qualifying doctoral examination is a prerequisite to initiate the procedure for a thesis proposal. During the first year of doctoral study, and after passing the doctoral qualifying exam, the doctoral student proposes a topic and mentor of doctoral research. The Commission for evaluation of thesis and mentor proposal organizes a public discussion of the expected original scientific contribution of the thesis and evaluates the original scientific contributions. The candidate is required to publish (“accepted for publishing” status is also allowed) at least one international peer-reviewed article in a journal indexed in the CC, SCI and SCI Expanded. The article must be published before the submission of the dissertation for assessment, the article must be thematically related to doctoral research and the candidate must be the first author. In addition, the candidate is required to present and publish at least one paper in the proceedings of an international conference. A three-year PhD program in electrical engineering at the University of Maribor (http://www.feri.uni-mb.si/povezava.aspx?pid=988) has 180 ECTS credits in total, with the exams contribution to 60 ECTS credits. In the first semester of their study, students enrol in a compulsory subject, The Scientific Research Methods. During the first year, the students also select 3 elective subjects, each having 10 ECTS credits, as well as the compulsory research seminar with 5 credits. The seminars, each of 10 ECTS credits, are also done in the third and the fourth semester. The doctoral research itself is organized through three projects, 20 credits each. The Thesis Proposal Seminar, which is presented in the fifth semester, has 30 ECTS credits, the same number of credits as it is assigned to the thesis writing and defence that must be completed during the sixth semester. Once the student achieves the minimum of 40 ECTS credits, and passes the compulsory subject and the first seminar, he (she) is allowed to enrol in the second year of the program. The minimum of 80 credits and the completed second seminar are the prerequisites for the enrolment into the final year. The students are expected to publish at least one research paper in a foreign language, which must be either accepted for publication or already be published in a leading journal in the field. 1.4. Openness of the study programme towards horizontal and vertical mobility of students within national and international

higher education area The proposed curriculum is set according to the Bologna declaration, by which assumptions were made for the mobility of students in the national and international higher education framework. One of the planned activities requires students to stay at other national or foreign universities or research institutions for at least three months, which specifically stimulates national and international mobility of students. The proposed study programme provides opportunity to select one subject of other doctoral study programmes of the Faculty of Engineering or other components of the University of Rijeka. The proposed study programme also provides a selection of general mathematical subjects. In this way, the preconditions are met for the acquisition of competences from a number of scientific fields within the area of Engineering Sciences, and therefore horizontal mobility of students is encouraged. Applicability of the offered content in most technical systems and processes will contribute to attract students of other professions to study and research within the proposed program. Upon completion of studies and obtaining the academic title of doctor of science, further education at post-doctoral courses, studies and training is possible.

1.5. Alignment with the Mission and the Strategy of the University of Rijeka

The proposed study programme is aligned with the mission and strategy of the University of Rijeka, because it directly strengthens the visibility of the University as a research university and broadens the base of scientists and researchers in the field of electrical engineering. The proposed curriculum will directly increase the number of students in the doctoral programmes, will increase the number of active mentors, and indirectly, by encouraging and requiring the publication of scientific papers in international journals and work on research projects, it will intensify the overall scientific productivity and quality of research at the University. Multidisciplinarity is also one of the main features of this program. The proposed curriculum also encourages internal and external mobility of students. It provides flexible ways of learning and lifelong education system with emphasis on training students who wish to progress in a scientific field, to acquire new and modern knowledge and skills. It will also strengthen the connection between the University and the industry, using experts and scientists from the industry as lecturers and mentors.

1.6 .Institutional strategy for study programmes development

Faculty of Engineering strategy is in line with the strategy of the University of Rijeka. Strengthening the research potential, multidisciplinarity, internal and external mobility, lifelong learning and links with industry are the main areas in which the proposed study programme will promote further development of the Faculty of Engineering.

1.7. Other important data – according to the coordinator's opinion

6



2. GENERAL PART

2.1. Title of study programme

Postgraduate Doctoral Study in the Area of Engineering Sciences, in the Field of Electrical Engineering

2.1.1. Type of study programme

university

2.1.2. Level of study programme

doctoral

2.1.3. Area of study programme (scientific/artistic) – indicate the title

Engineering Sciences

2.2. Study programme coordinator

Faculty of Engineering, University of Rijeka

2.3. Implementor/s of study programme

Faculty of Engineering, University of Rijeka

2.4. Duration of study programme (indicate possibilities of part-time study, long distance study)

The doctoral programme has a different organization depending on whether the student is a full-time student or a part-time student. The minimal duration of doctoral programme for the full-time student is 3 years (i.e. 6 semesters). The maximal duration of the period between the beginning and the end of the study is 6 years for the full-time student and 10 years for the part-time student.

2.4.1. ECTS credits – minimal number of credits required for completion of study programme

The student is required to gain at least 180 ECTS credits.

2.5. Enrolment requirements and selection procedure

The candidates that have earned a degree in an adequate university study and gathered at least 300 ECTS points will be admitted to the postgraduate doctoral study. Candidates that acquired qualifications in the earlier study programme, i.e. before 2005, will be admitted to the postgraduate doctoral study if they graduated in an adequate university level study. In both cases the Faculty Council determines which studies will be considered adequate and makes the final decision about the admittance. The Faculty Council has the authority to define additional conditions in special cases, for example grades, etc. The process of the selection of candidates is as follows: after the public announcement of the call for enrolment the Committee for Postgraduate Studies and Science determines which candidates satisfy defined criteria and proposes the choice of candidates to the Faculty Council, which then makes the final decision. The selection criteria are multiple. To be more precise, for the admission into the first year of doctoral study the candidate has to fill the admission form, enclose two references, give a written statement about reasons for enrolment in the doctoral study, enclose an official transcript of the grades, and attend an interview with the Committee for Interviews with the candidates for Postgraduate Doctoral Study, which is nominated by the Faculty Council. The written statement of the candidate has to contain a description of his scientific interests, ideas concerning the doctoral study, and reasons why he/she chooses a particular area of research.

2.6. Study programme learning outcomes

2.6.1. Competences which student gains upon completion of study (according to Croatian Qualification Framework ( HKO): knowledge, skills and competences in a restricted sense –independence and responsibility)

Upon completion of the study the students will gain the degree of doctor of science. Above all this will mean that they have

7



a superior cognizance of a subject area within the electrical engineering and that they have demonstrated ability for original scientific research. Upon graduation, students will be able to critically evaluate the existing methods, components and systems, independently develop new methods of analysis and synthesis of technical systems in the field of electrical engineering, and will be able to propose new and optimize existing solutions. The students will have excellent comprehension of literature and unsolved problems from a particular field and will have the ability to invent and conduct a scientific project, to publish the research results, and to present these results to other scientists. The students will be aware of the importance and will take special care about the ethics and social values in their projects. Through teamwork on joint projects and in general through relationships with teachers, local and international scientists, the students will gain the skills needed to create and develop interpersonal relationships, especially in multicultural and international research teams. In addition, students will have to be able to express their views in the presence of experts in the same or complementary areas of research and work (at conferences, seminars, while visiting other scientific institutions etc.). They will have the autonomy in learning, a very good understanding of the learning process, and the ability to communicate and transfer their knowledge to younger students. Students of doctoral study will aim at an interdisciplinary approach to find the optimal solution in signal analysis, information and systems, and in the integration and improvement of complex systems. The proposed study program provides the knowledge and skills in designing, developing and applying new technologies in electrical power engineering, electronics, signal processing, robotics and automation. Knowledge that the student will acquire upon completion of the study will depend on the selected module and the subjects, and will include some of the specific competences in the field: - active distribution networks, - intelligent electronic environments, - analysis and processing of nonstationary signals, - modern computer-aided modelling in electromagnetics, - photonic devices, - intelligent systems, artificial intelligence and man-machine communication, - implementation and analyses of renewable energy sources, - measurement and analysis of power quality, - systems for analog and digital signal processing, - nonlinear control systems, - new energy paradigm, - modelling of electrical power distribution systems, - modelling of process information systems and application of intelligent systems in electrical power systems, - operation and control of synchronous generator in power systems, - information theory, - service robotics, - soft computing (fuzzy logic, neural networks, genetic algorithms), - mathematical modelling, - optimization methods, - statistical methods and stochastic processes.

2.6.2. Employment possibility (list of possible employers and compliance with professional association's requirements)

Upon completion of study, students will have job opportunities in public and private sector, especially in the previously mentioned industry entities with whom the Faculty has developed cooperation, but also elsewhere in Croatia and abroad. Faculty of Engineering, and other scientific-research institutions and institutes, will include newly trained scientists to work on research projects and to expand the base of potential scientific and teaching staff.

2.6.3. Possibility of continuation of study on higher level

After completing doctoral studies, numerous opportunities to continue scientific research will open up at home institution or similar institutions in Croatia and abroad, as well as possibilities to enrol in post-doctoral training.

2.7. Upon applying for graduate studies list proposer's or other Croatian institution’s undergraduate study programmes which enable enrolment to the proposed study programme

8



2.8. Upon application of integrated studies - name reasons for integration of undergraduate and graduate level of study programme

9



3. PROGRAMME DESCRIPTION 3.1. List of compulsory and elective subjects and/or modules (if existing) with the number of active teaching hours required

for their implementation and number of ECTS-credits (appendix: Table 1)

In the appendix.

3.2. Description of each subject (appendix: Table 2)

In the appendix.

3.3. Structure of study programme, dynamic of study and students’ obligations

In terms of organization, the proposed program of study continues the tradition and practice of the existing doctoral study programme of the Faculty of Engineering. The doctoral programme has a different organization depending on whether the student is a full-time student or a part-time student. In both cases the student is required to gain at least 180 ECTS points. The minimal duration of the doctoral programme for the full-time student is 3 years (i.e. 6 semesters), and the activities are listed in Table 3. Table 3.

Activities (a full-time student) ECTS

A) Implementation of scientific research work under the guidance and help of a mentor and possibly a co-mentor, which will result in making, evaluation and defence of a doctoral thesis

90

B) Sitting for an examination for compulsory and all the elective subjects prescribed by the curriculum of the doctoral study

42

C) Visiting other Croatian or foreign universities or scientific institutions in the duration of at least 3 months

minimum 20

D) Publishing scientific papers and presentations of scientific research results at national or international scientific conferences

minimum 28

Total: minimum 180 In the following tables, a more detailed elaboration of estimated activities is given. Table 4.

A) Scientific research work (90 ECTS) Remarks

At the end of the 2nd semester, the student must present in public the results of his/her research accomplished up to that time. Besides the student's supervisor, the head of the respective module and one of the teachers from the respective module, students of the respective year of doctoral study also attend the presentation. The student's supervisor submits a report on the presentation to the Faculty Council. For the admission to the 2nd year of study, the report must be positive.

3 ECTS

(preparation of presentation and presentation of research

results)

At the moment of admission to the 2nd year of the study, the student must propose the topic of the thesis. Both the proposal and the defence of thesis proposal are conducted in compliance with the Regulations of the Studies of the University of Rijeka. The conditions for the application of the thesis proposal are the completion of all lectures of the 1st year, and successfully passing at least 3 subjects.

10 ECTS

(doctoral thesis proposal)

At the end of the 4th semester, the student must present in public the results of his research accomplished up to that time. Besides the student's supervisor, the head of the respective module and one of the teachers from the respective module, students of the respective year of doctoral study attend the presentation. The student's supervisor submits a report about the public presentation to the Faculty Council. For the admission to the 3rd year of the study the report

3 ECTS

(preparation of presentation and presentation of research

results)

10



must be positive.

Students must publish at least one article in a foreign scientific journal (or two in a domestic scientific journal) indexed in the CC database (Current Contents), the SCI (Science Citation Index) or the SCI-Expanded database. The article can also be accepted for publication (the student must be the first author and the article topic must be directly related to the topic of the thesis).

20 ECTS

Scientific research work which will result in making, evaluation and defence of the doctoral thesis.

50 ECTS (research work)

4 ECTS (defence) Table 5.

B) Sitting for an examination for subjects (42 ECTS)

Year Semester Manner of sitting for an

examination* ECTS Remarks

1. 1. Compulsory Subject 6 15 hours of lectures

Elective Subject 1 6 15 hours of lectures




2. Elective Subject 5 6 15 hours of lectures


2. 3./4. - - -

3. 5./6. - - - Special conditions for attending any particular subject or group of subjects are not required, except for the fact that in the process of choosing the subjects and the order in which they will be attended, the student will be guided by his/her supervisor. Students take one compulsory course (Methodology of scientific-research work) and six elective courses, taking into account the adequate choice of courses from the selected module. In addition to the courses from the selected module, students choose courses from a group of common courses, courses of other module or one course from other doctoral studies at the Faculty of Engineering or the University of Rijeka. Table 6.

C) Visiting other Croatian or foreign universities or scientific institutions in the duration of at least 3 months (minimum 20 ECTS)

These are typically organized from the 3rd semester onwards. The stay at another university or scientific institution is regulated in compliance with the Statute of the University of Rijeka. The student demonstrates the evidence of his stay by submitting a confirmation of the respective institution and by giving a report of the period of his stay in the host institution, short description of activities and outcomes.

Table 7. D) Publishing scientific papers and presentations of scientific research results at national

or international scientific conferences (minimum 30 ECTS) ECTS

Article in a foreign scientific journal indexed in CC (Current Contents), SCI (Science Citation Index) or SCI-Expanded database.

20

Article in a domestic scientific journal indexed in CC (Current Contents), SCI (Science Citation Index) or SCI-Expanded database.

10

Journal articles outside CC, SCI and SCI-Expanded, indexed in other significant bibliographic data bases and with international reviewing process.

5

International scientific conference held abroad or in Croatia. The international symposium must be organized by or set or under the auspices of the international association or reputable foreign institution, with international scientific and reviewing committee.

Only full text articles are taken into consideration and not only the abstract or presentation.

3 + 2*

11



* Bonus credits for presenting the paper as author or co-author at the international conference,

which has to be proved by submitting a confirmation of the chairman of the respective session.

Determination of the proportion of author's contribution: up to 3 authors - 100% each // 4 authors - 75% each // 5 authors - 50% each // 6 or more authors - (100%/number of authors) each. Student is obliged to publish or to have at least 1 article which is accepted in the CC (Current Contents), SCI (Science Citation Index) or SCI-Expanded scientific journal.

For a part-time student, the whole structure described for a full-time student can be carried out in the time period that is twice longer, i.e. the minimal duration of doctoral programme can be from 3 to 6 years. In particular, visiting other universities or scientific institutions outside the University is not obligatory for a part-time student, but it is foreseen to pursue other activities, which load is equivalent to the stay at other institutions (minimum 20 ECTS credits), for instance enrolling in additional subjects, publishing of scientific papers etc.

3.3.1. Enrolment requirements for the next semester or trimester (course title)

Conditions for the admission to the 2nd year of the study are: the completion of all lectures of the 1st year, and passing at least 3 exams; positive report submitted by the supervisor about the student's public presentation of research results accomplished up to the end of the 2nd semester; doctoral thesis proposal submitted by the student at the moment of admission. Condition for the admission to the 3rd year of the study is a positive report submitted by the supervisor about the student's public presentation of research results accomplished up to the end of 4th semester. Condition for the submission of the doctoral thesis is acquiring all 42 ECTS credits of the lecture part and at least 84 ECTS credits through other activities.

3.4. List of courses and/or modules student can choose from other study programmes

The list of such subjects is not defined in advance and the student has the possibility of free choice in agreement with his supervisor.

3.5. List of courses and/or modules that can be implemented in a foreign language (specify the language)

List of courses that can be implemented in English: - Active Distribution Networks - Ambient Intelligence - Nonstationary Signal Analysis and Processing - Electromagnetic Modelling - Photonic Devices - Intelligent Systems - Intelligent Power Systems - Smart Grids - Selected chapters on Energy Components and Systems of Renewable Energy Sources - Mathematical Modelling and Numerical Methods - Optimization Methods - Methodology of the Scientific-Research Work - Measurement and Analysis of Electric Power Quality - Mixed Signal Processing - Modelling of Electrical Power Distribution Systems - New Energy Paradigm - Reliability of Technical Systems - Digital System Design - Statistical Methods and Stochastic Processes - Control of Synchronous Generators - Information Theory with Applications - Service Robotics - Introduction to Soft Computing and Applications

List of courses that can be implemented in Italian:

- Measurement and Analysis of Electric Power Quality - Digital System Design

12



- Service Robotics

3.6. Allocated ECTS credits that enable national and international mobility

National and international mobility is enabled by allowing enrolment for one course (6 ECTS credits) of other doctoral studies at the University of Rijeka, the compulsory visit to a domestic or foreign university or scientific institution for at least three months (minimum 20 ECTS), and publishing papers at scientific conferences (3 to 5 ECTS credits for each published or presented work).

3.7. Multidisciplinarity/interdisciplinarity of study programme

Multidisciplinarity of the study programme is reflected through the possibility of choice of courses of other module, or one course of other postgraduate doctoral studies of the Faculty of Engineering, or other components of the University of Rijeka. In this way, students will be able to acquire some competences in the field of Mechanical Engineering, Naval Architecture, Fundamental Engineering Sciences, but also in other scientific areas. The study programme is based on the application of new technologies in electrical power engineering and in electronic and information systems, and therefore naturally imposes a need for multidisciplinarity and coverage of the knowledge and skills in electrical engineering, electronics, computing, information and communication technology in most courses offered. These areas are complementary and necessary also in mechanical engineering and naval architecture, and other areas, such as biomedicine, ecology, etc.

3.8. Mode of study programme completion

The study will end with a successful defence of the doctoral thesis and with the acquiring of at least 180 ECTS credits.

3.8.1. Conditions of approval of final work /thesis and/or final/thesis exam application

At the moment of admission to the 2nd year of the study, a full-time student submits the doctoral thesis proposal. The thesis proposal application and defence is presented in front of the Expert Committee for the Evaluation of the Doctoral Thesis. The Committee is consisting of acknowledged experts in the filed the thesis belongs to. The conditions for the acceptance of the thesis proposal are defined in compliance with the Regulations of the Studies of the University of Rijeka. The conditions for the application of the thesis proposal are the completion of all lectures of the 1st year, and passing at least 3 exams. The conditions for acquiring the doctor of science academic degree without attending the lectures and passing the exams will be defined in compliance with the Regulations of the Studies of the University of Rijeka.

3.8.2. Composing and furnishing of final work/thesis

The procedure and the conditions for the thesis composing and furnishing are regulated in compliance with the Regulations of the Studies of the University of Rijeka.

3.8.3. Final work/thesis assessment procedure and evaluation and defense of final work/thesis

The procedure and the conditions for the thesis reviewing as well as the conditions and procedures for the thesis defence are regulated in compliance with the Regulations of the Studies of the University of Rijeka.

13



Table 1

3.1. List of compulsory and elective courses and/or modules with teaching hours required and ECTS credits allocated

COMMON COURSES

Year of study: 1.

Semester: I

MODULE COURSE COURSE COORDINATOR L E S ECTS STATUS1

Methodology of the Scientific-Research Work

Prof. Julian Dobrinić 15 0 0 6 C

Mathematical Modelling and Numerical Methods

Assoc. Prof. Nelida Črnjarić-Žic 15 0 0 6 E

Optimization Methods Prof. Senka Maćešić 15 0 0 6 E

Statistical Methods and Stochastic Processes

Assoc. Prof. Nelida Črnjarić-Žic 15 0 0 6 E

MODULE ELECTRONIC–INFORMATION SYSTEMS

Year of study: 1.

Semester: I

MODULE COURSE COURSE COORDINATOR L E S ECTS STATUS2

Nonstationary Signal Analysis and Processing

Assoc. Prof. Viktor Sučić 15 0 0 6 E

Electromagnetic Modelling Assoc. Prof. Miroslav Joler 15 0 0 6 E Photonic Devices Assoc. Prof. Vera Gradišnik 15 0 0 6 E Measurement and Analysis of Electric Power Quality

Assoc. Prof. Saša Vlahinić 15 0 0 6 E

Mixed Signal Processing Prof. Nino Stojković 15 0 0 6 E Nonlinear Control Systems Prof. Mojmil Cecić 15 0 0 6 E

MODULE ELECTRONIC AND INFORMATION SYSTEMS

Year of study: 1.

Semester: II.

MODULE COURSE COURSE COORDINATOR L E S ECTS STATUS

Ambient Intelligence Assoc. Prof. Miroslav Vrankić 15 0 0 6 E

Intelligent Systems Prof. Ivo Ipšić 15 0 0 6 E

Digital System Design Prof. Francesco Gregoretti Assoc. Prof. Saša Vlahinić

15 0 0 6 E

Service Robotics Assist. Prof. Kristijan Lenac 15 0 0 6 E Introduction to Soft Computing and Applications

Assist. Prof. Tihana Galinac Assist. Prof. Darko Huljenić

15 0 0 6 E

1 IMPORTANT: Insert C for compulsory course or e for elective course. 2 IMPORTANT: Insert C for compulsory course or e for elective course.

14



MODULE ELECTRIC POWER SYSTEMS AND NEW TECHNOLOGIES Year of study: 1.

Semester: I


Stochastic Information's Process Models

Prof. Juraj Šimunić 15 0 0 6 E

Modelling of Electrical Power Distribution Systems

Assoc. Prof. Vitomir Komen 15 0 0 6 E

Reliability of Technical Systems Prof. Dario Matika 15 0 0 6 E Control of Synchronous Generators

Assist. Prof. Neven Bulić 15 0 0 6 E

Information Theory with Applications

Prof. Željko Jeričević 15 0 0 6 E

MODULE ELECTRIC POWER SYSTEMS AND NEW TECHNOLOGIES

Year of study: 1.

Semester: II


Active Distribution Networks Assist. Prof. Srđan Žutobradić 15 0 0 6 E Intelligent Power Systems - Smart Grids

Assoc. Prof. Srđan Skok 15 0 0 6 E

Selected Chapters on Energy Components and Systems of Renewable Energy Sources

Assist. Prof. Dubravko Franković 15 0 0 6 E

New Energy Paradigm Assoc. Prof. Alfredo Višković 15 0 0 6 E

15



Basic description

Course coordinator Srđan Žutobradić

Course title Active Distribution Networks

Study programme postgraduate doctoral study

Course status optional

Year 1

ECTS credits and teaching ECTS student ‘s workload coefficient 6 Number of hours (L+E+S) 15+0+0

1. COURSE DESCRIPTION

1.1. Course objectives

The objectives of the course are to train students for understanding of active distribution network's specificities, and to apply, analyze and define appropriate methods for calculations and analysis of active distribution networks.

1.2. Course enrolment requirements

None.

1.3. Expected course learning outcomes

After passing the exam the students should be able to: 1. Analyze the impact of distributed generation on electricity distribution network. 2. Model the elements of an active distribution network. 3. Apply appropriate methods for the calculation of active distribution networks. 4. Apply the appropriate type of protection of active distribution networks. 5. Design the optimal scheme connecting distributed generation to an active distribution network.

1.4. Course content

General consideration about the integration of distributed energy sources into the distribution network. Energy circumstances in active distribution networks (voltage profile, short circuit currents, flickers, higher harmonics). Modeling elements for calculations. Network protection from faults - protection of power plants, protection of active distribution network. Impact of distributed generation on power system. Smart metering devices for measurement of electricity consumption. Expected development of smart grids.

1.5. Teaching methods

lectures seminars and workshops exercises long distance education fieldwork

individual assignment multimedia and network laboratories mentorship other

1.6. Comments

1.7. Student’s obligations

Students are required to attend classes, write a seminar and a project and access the oral exam. Seminar and project to be done in consultation with the teacher.

1.8. Evaluation of student’s work

Course attendance

0,5 Activity/Participation Seminar paper 2 Experimental work

Written exam Oral exam 1,5 Essay Research

Project 2 Sustained knowledge check Report Practice

16



Portfolio

1.9. Assessment and evaluation of student’s work during classes and on final exam

Assessment and evaluation of students' work will be done on the basis of the results of their seminar, project and oral exam.

1.10. Assigned reading (at the time of the submission of study programme proposal)

1. N. Jenkins; J.B. Ekanayake; G. Strbac; Distributed Generation, IET, 2010.

1.11. Optional / additional reading (at the time of proposing study programme)

1. S. Chowdhury; S.P. Chowdhury; P. Grossley; Microgrids and Active Distribution Networks, IET, 2009.

1.12. Number of assigned reading copies with regard to the number of students currently attending the course

Title Number of copies Number of students 1. N. Jenkins; J.B. Ekanayake; G. Strbac; Distributed Generation, IET,

2010 1 3-5

1.13. Quality monitoring methods which ensure acquirement of output knowledge, skills and competences

Through the institution’s quality assurance system.

17



Basic description

Course coordinator Miroslav Vrankić

Course title Ambient Intelligence



Year 1




The objectives of the course are to train students for analysis and synthesis of intelligent electronic environments.


None.


After passing the exam the student should be able to: 1. Analyze the smart environments 2. Describe the concept of ubiquitous computing 3. Apply location based and context-aware systems 4. Describe the concept of ambient assisted living

1.4. Course content

Smart environments. Smart networked objects. Ubiquitous computing. Location based and context-aware systems. Intelligent interfaces. Ambient assisted living.




1.6. Comments




Course attendance



Project Sustained knowledge check Report Practice

Portfolio


18





H. Nakashima; H. Aghajan; J. C. Augusto; Handbook of Ambient Intelligence and Smart Environments, Springer, 2009.



Title Number of copies Number of students H. Nakashima; H. Aghajan; J. C. Augusto; Handbook of Ambient

Intelligence and Smart Environments, Springer, 2009 1 3-5



19



Basic description

Course coordinator Viktor Sučić

Course title Nonstationary Signal Analysis and Processing



Year 1




The students will get familiar with the basic concepts of nonstationary signals analysis and processing using time-frequency distributions (TFDs). TFD design techniques, measures of signal quality representation based on its TFDs, as well as the algorithms for signal nonstationary parameters estimation will be studied in details.


None.


After passing the course, the student will be able to: - describe the advantages of signal time-frequency analysis - define the signal, its key parameters and properties in the time-frequency domain - describe the heuristic methods for time-frequency distributions (TFDs) definitions, including the spectrogram and the Wigner-Ville distribution - define the Quadratic class of TFDs and its properties - describe various interference terms present in a TFD and the methods for their suppression - define the ambiguity function of a signal - apply various TFD design techniques - define concentration and complexity measures for TFDs - estimate the instantaneous frequency of a signal from its time-frequency representations - apply time-frequency tools in the analysis and processing of real-life nonstationary signals

1.4. Course content

Time-frequency concepts; advantages of time-frequency representations of signals. The formulation and characteristics of signals in the time-frequency domain; nonstationarity, the Hilbert transform, the analytic signal, monocomponent and multicomponent signals, the signal instantaneous frequency. Heuristic methods of time-frequency distribution (TFDs) definitions; the Wigner-Ville distribution, the short-time Fourier transformation, the spectrogram. Theory of the Quadratic class of time-frequency distributions; definitions, properties, and examples. Design of quadratic time-frequency distributions; interference terms, the ambiguity function, desirable properties for practical applications, TFDs with separable filters. Adaptive TFDs and higher-order TFDs. Concentration and complexity measures for time-frequency representations. Time-frequency techniques for signal instantaneous frequency estimation. Examples of real-life signals time-frequency analysis. Software packages for nonstationary signals time-frequency analysis and processing.




1.6. Comments

20




The students are required to attend the classes, do their project, and take part in both written and oral exams.


Course attendance

0,5 Activity/Participation Seminar paper Experimental work

Written exam 2 Oral exam 1 Essay Research

Project 2,5 Sustained knowledge check Report Practice

Portfolio


Assessment and evaluation of students' work will be based on the results they achieve in their project and the written and oral exams.


B. Boashash, “Time-Frequency Signal Analysis and Processing: A Comprehensive Reference”, Elsevier, 2003.


1. L. Cohen, “Time-Frequency Analysis: Theory and Applications”, Prentice Hall, 1995. 2. P. Flandrin, “Time-Frequency/Time-Scale Analysis”, Academic Press, 1999.


Title Number of copies Number of students B. Boashash, “Time-Frequency Signal Analysis and Processing: A

Comprehensive Reference”, Elsevier, 2003 0 3-5


Through the Institution’s quality assurance system.

21



Basic description

Course coordinator Miroslav Joler

Course title Electromagnetic Modelling



Year 1




The objectives of the course are to teach students in principles and techniques of modern computer-aided modeling in electromagnetics. Students will learn how to select and set up a proper numerical technique, build a computational model using a commercial package or by writing their own computer code, simulate and analyze the results.


None.


After passing the exam the student will be able to: 1. describe the characteristics of the electromagnetic (EM) problem and discuss prospective numerical methods for quantitative analysis 2. use the finite-difference time-domain method to model a computational domain 3. describe key elements and steps in computational modeling of an EM problem 3. computationally model and analyze EM problem using either a CAD tool or writing his own code 4. describe trade-offs between model parameters and their effect on the simulation and solution.

1.4. Course content

Review of electromagnetic theory. Classification of electromagnetic (EM) problems. Finite difference method. Finite-difference time-domain method. Boundary conditions. Essentials of the method of moments and finite element method. Timeline of numerical EM methods and codes. CAD modelling: modelling of geometry, description of materials, frequency set-up, relationships between the parameters, stability issues, excitation signal, set up of boundary conditions, symmetry planes, set up of source type, result monitors, analysis of results. Simulation optimization and parameter trade-offs. Essentials of the method of moments and the finite element method.




1.6. Comments


Students are required to attend classes, do reading-, homework-, and project- assignments.


Course attendance


Written exam Oral exam Essay Research

22



Project 2,5 Sustained knowledge check

3 Report Practice

Portfolio


Assessment and evaluation of students' work will be based on the success in course assignments.


1. M. N.O. Sadiku, Numerical Techniques in Electromagnetics with MATLAB, CRC Press, 3rd ed., 2009.


1. A. Taflove and S. C. Hagness, Computational Electrodynamics: The Finite-Difference Time-Domain Method, 3rd ed, Artech House, 2005.


Title Number of copies Number of students 1. M. N.O. Sadiku, Numerical Techniques in Electromagnetics with

MATLAB, CRC Press, 3rd ed., 2009 1 3-5



23



Basic description

Course coordinator Vera Gradišnik

Course title Photonics Devices



Year 1




Physics of photonics devices with their technology, description of key physical principals for photonics devices operation, numerical modelling of photonic devices.


None.


After passing the exam the student will be able to: - Analyze semiconductor physics. - Describe and analyze physical effects in photonic devices, optical processes in semiconductors, light absorption, generation-recombination rate, defect states and their influence on semiconductor devices operation. - Apply the physical phenomenon models in numerical modelling of photonic devices. - Describe and analyze technology basics of today photonic devices. - Apply the photonics devices in engineering and medicine.

1.4. Course content

Basics of semiconductor monocristalline and amorphous silicon. Basic quantum mechanics. Electrons in crystal and band structure. Light generation. Light detection. Defects and their influence on devices properties. LED, photodiode, solar cells. Numerical modelling of physical phenomenon, photodiodes and solar cells. Semiconductor photonic devices technology. Colour detection and recognition with application in image sensor. Parameter extraction methods for solar cells.




1.6. Comments


Attend classes, individual assignment and project, presentation of project and oral exam. Possible publication of scientific-research paper from project.


Course attendance


0,5

Written exam Oral exam 2 Essay Research 0,5


Report Practice

24



Portfolio


Search of scientific references – papers, programming the programmes for modelling of selected physical phenomena, numerical modelling, project development and presentation, oral exam.


1. S. M.Sze,K.K. Ng, Physics of Semicondutor Devices, J.Wiley &Sons, Inc.2007. 2. S. L. Chuang, Physics of Photonic Devices, J.Wiley &Sons, Inc.2009. 3. B.E.A. Saleh, M.C. Teich, Fundamentals of Photonics, J.Wiley &Sons, Inc.2007.


1. K. Tomizawa, Numerical Simulation of Submicron Semiconductor Devices, Artech House, Boston, London1993 2. IEEE Transactions on Electron Devices, IEEE Electron Device Letters 3. journal articles IEEE, IAP, Elsevier, eg. Solid-State Electronics and other.


Title Number of copies Number of students S. M.Sze,K.K. Ng, Physics of Semicondutor Devices, J.Wiley &Sons,

Inc., 2007 1 3-5

S. L. Chuang, Physics of Photonic Devices, J.Wiley &Sons, Inc., 2009 1 3-5 B.E.A. Saleh, M.C. Teich, Fundamentals of Photonics, J.Wiley &Sons,

Inc., 2007 1 3-5



25



Basic description

Course coordinator Srđan Skok

Course title Intelligent Power Systems – Smart Grids



Year 1




The subject aims to teach students about intelligent energy systems – Smart Grids and economic development, and economic aspects of the application of Smart Grids. Students will acquire knowledge in the field of Smart Grids, as well as the specifics of the energy market relations, the importance of the aspects of energy policy and its impact on the development of Smart Grids.


None.


• Describe the modern electric power systems, • Knowing the Smart Grid technology solutions, • Connect the Smart Grid in the region of transmission and distribution power networks, and distributed energy sources (renewable energy), • Define the term Smart Grid in the context of energy market • Define and analyze energy policy used to encourage Smart Grids, • Overview of Smart Grids, • Analyze the economic feasibility of implementing Smart Grids.

1.4. Course content

The definition of intelligent power systems (Smart Grid). Overview of Smart Grids and renewable energy sources. Development plan (roadmap) of Intelligent power systems and intelligent measurement systems (Smart Metering-a). Energy policy used to encourage Smart Grid. The effects of the development of intelligent electrical systems on the economy of countries. Economic evaluation of the implementation of Smart Grid in a free energy market environment. Position of Smart Grid in the European energy package. Overview of the implemented projects of Smart Grid.




1.6. Comments




Course attendance


26




Project 2 Sustained knowledge check Report Practice

Portfolio




1. Clark W. Gellings: The Smart Grid: Enabling Energy Efficiency and Demand Response, CRC Press; 1 edition (August 21, 2009).


1. Stan Mark Kaplan: Smart Grid: Modernizing Electric Power Transmission and Distribution; Energy Independence, Storage and Security; Energy Independence and Security Act and Resiliency; Integra (Government Series), TheCapitol.Net, Inc. (September 11, 2009).


Title Number of copies Number of students Clark W. Gellings: The Smart Grid: Enabling Energy Efficiency and

Demand Response, CRC Press; 1 edition (August 21, 2009) 1 3-5



27



Basic description

Course coordinator Ivo Ipšić

Course title Intelligent Systems



Year 1




Use of methods and procedures needed for development of intelligent systems.


None.


After passing the exam the student will be able to: 1. analyze methods and procedures used for intelligent system development 2. describe the architecture of intelligent systems 3. use of software for intelligent system development 4. prepare and develop databases of learning examples used in intelligent system development

1.4. Course content

Introduction to intelligent systems, definitions, functions and features. Problem-solving as a search procedure: state space search, graph theory, search strategies: forward and backward-chaining, backtracking. Intelligent agents. Expert systems. Knowledge presentation schemes. Planning. Automatic learning and reasoning. Symbolic algorithms: decision-tree, version space, clustering procedures. Connectionist algorithms: characteristics of neural networks. Semantic analysis. Spoken dialog systems. Dialog modelling.




1.6. Comments


Students have to attend to all course activities and work on projects.


Course attendance Activity/Participation Seminar paper 2

Experimental work

2

Written exam Oral exam Essay Research

Project 2 Sustained knowledge check

Report Practice

28



Portfolio


Assessment and evaluation of students' work will be done on the basis of the results of their seminar and project.


1.N. Pavešić. Raspoznavanje vzorcev. ZAFER Ljubljana 1995. 2. L. Gyergyek, N. Pavešić, S. Ribarić: Uvod u raspoznavanje uzoraka, Tehnička knjiga Zagreb, 1988. 3.Russell, S., Norvig, P., Artificial Inteligence: A Modern Approach, Prentice Hall, Englewood Cliffs, 1995.


4. Huang, X. D., A. Acero and H. W. Hon (2000). Spoken Language Processing: A Guide to theory, Algorithm and System Development, Prentice Hall, New Jersey, USA. 5. Jurafsky, D., and J. Martin (2000). Speech and Language Processing, An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Upper Saddle River, New Jersey: Prentice Hall.


Title Number of copies Number of students N. Pavešić. Raspoznavanje vzorcev. ZAFER Ljubljana 1995. 1 3-5

L. Gyergyek, N. Pavešić, S. Ribarić: Uvod u raspoznavanje uzoraka, Tehnička knjiga Zagreb, 1988

0 3-5

Russell, S., Norvig, P., Artificial Inteligence: A Modern Approach, Prentice Hall, Englewood Cliffs, 1995

0 3-5



29



Basic description

Course coordinator Dubravko Franković

Course title Selected Chapters on Energy Components and Systems of Renewable Energy Sources



Year 1




The objectives of the course are to train students for critical analysis, implementation and planning of production plants using renewable energy sources (RES) and to indicate the global importance of RES as compared to conventional energy sources regarding RES's ecological advantage, technical and technological characteristics, legislative and economic/financial indicators and problems.


None.


After passing the exam the student should be able to: 1. apply modern technologies in the field of renewable energy sources and assess RES potential, 2. apply methods of techno-economic analysis by RES projects development, 3. apply modern concepts for RES interconnection with the utility grid, 4. analysis and assessment of RES impact on the electric power system, 5. apply methods for energy efficiency improvement.

1.4. Course content

Renewable energy source definition. Solar energy. Eolic energy. Hydro energy. Biomass, waste and biofuel energy. Geothermal energy. Other renewable energy sources. Techno-economic analysis of production plants using RES. Issues concerning RES interconnection with the public utility grid (transmission and distribution grid). RES production plant operation impact on the public utility grid. Energy efficiency definition and practical implementation.




1.6. Comments




Course attendance



Project 2 Sustained knowledge Report Practice

30



check

Portfolio




1. Lj. Majdandžić; Obnovljivi izvori energije, Graphis, Zagreb, 2008. 2. P. Kulišić; Novi izvori energije-sunčana energija i energija vjetra, Školska knjiga, Zagreb, 1991.


1. Grupa autora: SUNEN - Program korištenja energije sunca, Energetski institut Hrvoje Požar, Zagreb. 2. Grupa autora: ENWIND - Program korištenja energije vjetra, Energetski institut Hrvoje Požar, Zagreb. 3. Grupa autora: BIOEN - Program korištenja energije biomase i otpada, Energetski institut Hrvoje Požar, Zagreb. 4. Grupa autora: MAHE - Program izgradnje malih hidroelektrana, Energetski institut Hrvoje Požar, Zagreb. 5. Grupa autora: GEOEN - Program korištenja geotermalne energije, Energetski institut Hrvoje Požar, Zagreb.


Title Number of copies Number of students Lj. Majdandžić; Obnovljivi izvori energije, Graphis, Zagreb, 2008 0 3-5

P. Kulišić; Novi izvori energije-sunčana energija i energija vjetra, Školska knjiga, Zagreb, 1991

0 3-5



31



Basic description

Course coordinator Nelida Črnjarić-Žic

Course title Mathematical Modeling and Numerical Methods



Year 1




Introduction to mathematical modelling problems based on ordinary and partial differential equations required to solve problems in engineering practice. The mathematical formulation of the considered problem, the model construction and determining its solution by using the appropriate methods and software.


None.


To connect some mathematical models with typical physical problems, to distinguish models based on ordinary and partial differential equations. To interpret correctly the key ideas and properties of numerical methods for solving the differential equation as well as understanding of their advantages and disadvantages. To define the typical mathematical models in engineering, to recognize them and to describe them in practical problems. To describe the mathematical model formulation, to analyze the model complexity and its solvability. To construct an appropriate numerical model of the considered model by using existing software and/or to develop new software. To compare different approaches, to validate and analyze the obtained results. To improve accuracy by using different approaches.

1.4. Course content

Models based on ordinary differential equations. Dynamical systems and chaos. Numerical methods based on finite differences. Runge-Kutta methods. Models based on partial differential equations in fluid mechanics, thermodynamics and elasicity theory. The mass conservation law, momentum and energy conservation laws applied to fluid mechanics. Boundary value problems for Laplace and Poisson equations with applications. Heat diffusion equation and concentration flow equation. Wave equation. Sound propagation and the acustic wave equation. Numerical approaches for solving the partial differential equations based on the finite differences. The application to Laplace equation, equations of heat conduction and wave equation. Variational principles. Introduction to finite element and finite volume methods.




1.6. Comments


Class attendance (individual consultations), solving the project assignments, preparation and presentation of seminar paper.


32



Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work

Written exam Oral exam Essay Research 4

Project Sustained knowledge check

Report Practice

Portfolio


Course attendance, class activity, project assignments, seminar paper.


Strang, G.: Introduction to applied mathematics, Wellesley-Cambridge Press, Cambridge, 1986. Chapra, S.C., Canale, R.P.: Numerical methods for engineers, McGraw Hill Book Co., 1989. Veselić K., Aganović I.: Mathematical methods and models, 2010. (in Croatian, script)


LeVeque, J.R., Finite Volume Methods for Hyperbolic Problems, Cambridge Univ. Press, 2002. Cheney, W., Kincaid, D.: Numerical mathematics and computing, Thomson Brooks/Cole, 2004. Press, W.H., Taukolsky, S.A., Flannery, B.P., W.T.: Numerical recipes, Cambridge Press, 1986


Title Number of copies Number of students Strang, G.: Introduction to applied mathematics, Wellesley-Cambridge Press, Cambridge, 1986

1 3-5

Chapra, S.C., Canale, R.P.: Numerical methods for engineers, McGraw Hill Book Co., 1989

4 3-5

Veselić K., Aganović I.: Mathematical methods and models, 2010 (in Croatian, script)

1 3-5



33



Basic description

Course coordinator Senka Maćešić

Course title Optimization Methods

Study programme Postgraduate Doctoral Study


Year 1




Knowledge of optimal control principles necessary for recognition of optimization problems in engineering practice. Mathematical definition of optimization problems and its solution through the application of appropriate methods and software.


None.


To classify optimization methods, to explain fundamental ideas in various methods, to compare methods by their properties and area of application. To connect engineering knowledge with mathematical optimization methods and to recognize and describe optimization problems in engineering practice. To give mathematical formulation of the optimization problems, to analyze effect of formulation variations, complexity and solvability of the problem. To analyze possibilities of application of various methods on optimization problems, to compare and to chose the most appropriate method. To explore possibilities of problem solution through application of software and/or development of new software. To compare different approaches. To analyze optimization results, to improve results through combination and variation of methods and approaches.

1.4. Course content

Optimal control problems in engineering. Optimal control problems in stationary phenomena. Optimal control problems in non-stationary phenomena. Optimal shape design. Optimization problems of permutation and optimal grouping type. Optimization methods. Powell methods. Steepest descent methods and conjugate gradient direction methods (CGD). Simulated annealing method. Simplex method. Integer programming. Dynamic programming. Genetic algorithms.




1.6. Comments


Class attendance (individual consultations), solving the project assignments, preparation and presentation of the seminar paper.


Course attendance

0.5 Activity/Participation Seminar paper 1.5 Experimental work

Written exam Oral exam Essay Research 4 Project Sustained knowledge Report Practice

34



check Portfolio


Course attendance, class activity, project assignments, seminar paper


Winston, W. L.: Operations Research Application and Algorthms, Duxbury Press, Belmont, 1993. Press, W. H. <at al.>: Numerical Recipes in C, 2nd ed. University Press, Cambridge, 1990. Goldberg, E. D.: Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, New York, 1989.



Title Number of copies Number of students Winston, W. L.: Operations Research Application and Algorthms,

Duxbury Press, Belmont, 1993 2 3-5

Press, W. H. <at al.>: Numerical Recipes in C, 2nd ed. University Press, Cambridge, 1990

1 3-5

Goldberg, E. D.: Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, New York,

1989 2 3-5



35



Basic description

Course coordinator Julijan Dobrinić

Course title Methodology of the Scientific-Research Work


Course status compulsory

Year 1




Getting acquainted with the meaning of science and the difference between the scientific and professional work. Becoming familiar with the scientific-research activities and fundamentals of the scientific-research work’s methodology.


No prerequisites.


Indicate the fundamentals of the theory of science as well as of the relationship between science and other relevant activities. Distinguish the scientific from professional work on the basis of knowledge of the features of the scientific work. Analyse the up-to-date development of science with the knowledge of the situation in the world as well as in the Republic of Croatia. Describe the organising of the scientific research. Distinguish the features of the research. Describe methodologies of the scientific research. Describe technologies of publishing the results of the scientific research.

1.4. Course content

Theory of science: notion, development, relationship between science and technology. Trends of the contemporary science` s development. Classification of science. Scientific categories. Scientific activity. Scientific investigation: experimental research, theoretical research, relations. Methodology of the scientific research: notion and structure of fundamental scientific methods. Technology of the scientific-research work. Processing and announcing the results of the scientific-research work: written works, types and significance. Scientific-research work in economy and industry. Scientific-research work at the university.




1.6. Comments -


Course attendance (tutorial), solving the project task and preparation and presentation of the seminar paper.


Course attendance




Report Practice

Portfolio

36




course attendance, activity in research, project tasks, seminar paper


Zelenika, R.: Metodologija I tehnologija izrade znanstvenog I stručnog djela, Ekonomski fakultet, Rijeka, 2000.


M. Žugaj, K. Dumičić, V. Dušak: Temelji znanstvenoistraživačkog rada, Fakultet organizacije i informatike, Varaždin, 2006. M. Marušić: Uvod u znanstveni rad, Medicinska naklada, Zagreb, 2008. T. Greenfield: Research methods, Arnold, London, 1996.


Title Number of copies Number of students Zelenika, R.: Metodologija I tehnologija izrade znanstvenog I stručnog

djela, Ekonomski fakultet, Rijeka, 2000 2 10



37



Basic description

Course coordinator Saša Vlahinić

Course title Measurement and Analysis of Electric Power Quality



Year 1




The objectives of the course are to train students for analysis of electric power quality, and to apply, analyze and define new methods for power quality measurement and locating sources of disturbance.


None.


After passing the exam the student should be able to: 1. analyze the impact of power quality on the operation of the devices and systems, 2. apply methods for modelling and simulation of harmonic distortion, 3. apply the FFT and analyze the error of measurement, 4. analyze measurement uncertainty in complex and nonlinear measurement algorithms, 5. apply advanced methods of spectral analysis, 6. analyze, propose and implement new algorithms for detecting sources of disturbance.

1.4. Course content

The power quality definition. Sources of disturbance and impact on equipment. Harmonic distortion. Sources and impact on the equipment. Modelling and simulation of harmonic distortion. Spectral analysis. Application of FFT in the measurements. Analysis of measurement uncertainty for FFT and other measurement algorithms. Advanced methods of spectral analysis. Algorithms for detecting sources of disturbance.




1.6. Comments




Course attendance




Report Practice

Portfolio

38






1. R.C. Dugan; M.F. McGranaghan; S. Santoso; H.W. Beaty; Elektrical Power System Quality, McGraw-Hill, second edition, 2003.


1. J. Arrillaga; N. R. Watson; Power System Harmonics, Willey, second edition, 2003.


Title Number of copies Number of students 1. R.C. Dugan; M.F. McGranaghan; S. Santoso; H.W. Beaty; Elektrical

Power System Quality, McGraw-Hill, second edition, 2003 1 3-5



39



Basic description

Course coordinator Nino Stojković

Course title Mixed Signal Processing



Year 1




The goal of the course is introducing attendants with systems for processing analog and digital signals. By that, analysis of existing solutions as well as possibilities for introducing new solutions with enhanced characteristics will be emphasised.


None.


After completion all tasks, student will be able to: 1. Describe systems for analog-digital signal processing 2. Analyze and design analog filter higher order structures 3. Analyze and design switched capacitors filters 4. Analyze and design A/D and D/A converters

1.4. Course content

Systems for analog and digital signal processing. Continues time filters using operational and transconductance amplifiers. Switched capacitor filters. A/D converters, design and operation principles. D/A converters, design and operation principles.




1.6. Comments


Students are required to attendant classes, do laboratory work, do research work and make project assignment.


Course attendance


0,5



Report Practice

Portfolio


Assessment and evaluation of student’s work will be done on basis of laboratory work, research results and project

40



report.


1. Wai-Kai Chen, The Circuits and Filters Handbook, second edition, CRC PRESS, 2003.



Title Number of copies Number of students Wai-Kai Chen, The Circuits and Filters Handbook, second edition, CRC

PRESS, 2003 1 3-5



41



Basic description

Course coordinator Vitomir Komen

Course title Modelling of Electrical Power Distribution Systems



Year 1




The objectives of the course are to provide theoretical and practical knowledge to the students for solving different technical problems in the fields of planning, design and control of distribution system, as well as analysis and design of electrical installations.


None.


After passing the exam the student should be able to: 1. Apply methods for calculation of peak load (power and energy) 2. Analyse mathematical models of distribution network elements 3. Apply methods for calculation of distribution networks 4. Analyse and implement methods for distribution network planning 5. Analyse and implement solutions for protection, automation and control 6. Implement solutions for low-voltage electrical installations 7. Analyse, propose and implement modern distribution solutions 8. Analyse the risks and dangers with implementing electric power and analyse solutions for security at work

1.4. Course content

Power distribution system structure. Consumption of electrical energy. Customer load profiles. Methods for calculation of peak load. Overloading of power line or power transformer. Mathematical models for power line, power transformer and customer load profile. Calculation methods for load flow and voltage profile in normal (steady state) and emergency conditions. Symmetrical and unsymmetrical load. Distributed generation. Planning and design of distribution networks. Protection, automation and control of distribution system. Electric power quality. Low-voltage electrical installations. Smart electrical installations. Risks and danger of electrical energy. Security at work.




1.6. Comments




Course 0,5 Activity/Participation Seminar paper 1 Experimental

42



attendance work Written exam Oral exam 2,5 Essay Research


Report Practice

Portfolio




Published at institution's web page.


1. E. Lakervi, E. J. Holmes: Electricity Distribution Network Design, Peter Pereginns Ltd, London, 1995. 2. Kersting, W. H.: Distribution System Modelling and Analysis, CRC Press, London, 2002.


Title Number of copies Number of students



43



Basic description

Course coordinator Mojmil Cecić

Course title Nonlinear Control Systems



Year 1




The objectives of the course are amplification and implementation of the basic knowledge of control system theory to nonlinear control systems.


None.


After passing the exam the student should be able to: - implementation of linearization - analyze nonlinear control systems in time domain - implement phase plane analyse - determinate the stability of nonlinear control systems

1.4. Course content

Nonlinear Control Systems. Linearization. Nonlinear Elements. Relay Systems. Transient Processes in Relay Systems . Method of Harmonic Linearization. Describing Function. Phase Plane Analysis. Stability of Nonlinear Control Systems: Nyquist Criterion, Liapounov’s Method.




1.6. Comments


Students are required to attend classes, write a seminar paper and a project and access the oral exam. Seminar paper and project will be done in consultation with the teacher.


Course attendance




Report Practice

Portfolio


44



Assessment and evaluation of student’s work will be done on the basis of the results of their seminar paper, project and oral exam.


Z. Vukić, Lj. Kuljača, D. Đonlagić, S. Tešnjak, Nonlinear Control Systems, CRC Press, 2003. C. L. Phillips, J. M. Parr, Feedback Control Systems, Pearson, London, 2003.


T. Šurina, Automatska regulacija, Školska knjiga, Zagreb, 1981.


Title Number of copies Number of students Z. Vukić, Lj. Kuljača, D. Đonlagić, S. Tešnjak, Nonlinear Control

Systems, CRC Press, 2003 1 3-5

C. L. Phillips, J. M. Parr, Feedback Control Systems, Pearson, London, 2003

1 3-5



45



Basic description

Course coordinator Alfredo Višković

Course title New Energy Paradigm



Year 1




This course will prepare students to face a double challenge of energy and climate security, required when participating in business and political decision making process within the energy sector. In particular, this will be taught through the example of the South-eastern European Energy Association.


None.


On successful completion of the course, students will be able to demonstrate that they can: 1. Analyse the results of the simulation of the energy market and the CO2 emission market 2. Apply the EU and Kyoto Protocol regulation 3. Analyse all aspects of the energy security of a country 4. Build scientific projects based on the new energy paradigm

1.4. Course content

The Role of Rules and Institutions in Global Energy (An Introduction). Global Energy and Trade and Investment. EU Energy Strategy (Directives). A Low carbon electricity sector: issues and options. Electricity markets: pricing, structures and economics. Kyoto protocol, realization and future development: regulation, strategy and technology. New Energy Paradigm. Additional (to be covered in project and seminar): From monopole to competitiveness within the market. Simulation of the energy market scenarios. A comparable study of the energy market in developed countries.




1.6. Comments


Students are required to attend classes, write a seminar and a project and access the oral examination. Project and seminar are to be discussed with the course lecturer.


Course attendance


Written exam 2 Oral exam 0,5 Essay Research Project 2 Sustained knowledge Report Practice

46



check Portfolio


Assessment and evaluation of the course will be based on the results of the seminar, project and oral examination.

1.10. Required reading material (at the time of the submission of study programme proposal)

Grubb, Jamasb, Pollit (2008) Delivering a Low-Carbon Electricity System. Cambridge: Cambridge University Press. Corazza, Višković (2010) Svjetlo ili mrak: Koncept čovjek – energija, pogled iz Bruxellesa. Zagreb: IMO - Liderpress. Piani, Višković,Saftić (2011) Protokol iz Kyota; Ostvaranje i budući razvoj, zakonodavstvo, strategije, tehnologije. Zagreb: Graphis.

1.11. Optional / additional reading (at the time of proposal of the study programme)

Goldthau, Witte (2010) Global Energy Governance: The New Rules of the Game. Washington, DC: Brookings Institution Press. Višković (2009) Svjetlo ili mrak - energetska sigurnost - političko pitanje. Zagreb: HATZ - Liderpress



Grubb, Jamasb, Pollit (2008) Delivering a Low-Carbon Electricity System. Cambridge: Cambridge University Press

Reading copies will be provided by professor

Corazza, Višković (2010) Svjetlo ili mrak: Koncept čovjek – energija, pogled iz Bruxellesa. Zagreb: IMO - Liderpress


Piani, Višković,Saftić (2011) Protokol iz Kyota. Ostvaranje i budući razvoj, zakonodavstvo, strategije, tehnologije. Zagreb: Graphis




47



Basic description

Course coordinator Juraj Šimunić

Course title Stochastic Information's Process Models



Year 1




Gaining knowledge about the modelling of process information systems for complex technical systems.


None.


Explain the modular structure of technical systems. Analyse the structure of the variables for process identification. Define and distinguish process information models of a real time power system. Explain and interpret sources of technical process information systems. Distinguish standard ways of communication and control of open systems.

1.4. Course content

Modular structure of technical systems. Variable structure in plant identification function. Process variables in multidimensional vector space. Meaning of signal variable and information in modular structure of process parameters. Different models of process information. Standardization of communication and process information's in utility automation system. Models of process information in an environment of new technologies and related standards. Stochastic nature of information process. Experimental analysis of process information dynamics. Empirical and theoretical distribution of process information frequencies.




1.6. Comments


Students are required to attend classes, write a seminar and access the oral exam.


Course attendance

1 Activity/Participation Seminar paper 1 Experimental work

1



Report Practice

Portfolio


48



Assessment and evaluation of student's work will be done on the basis of the results of their seminar and oral exam.


Pauše Ž., Uvod u teoriju informacije, Školska knjiga, Zagreb, 1990. Šimunić J., Modular structure of stochastic process information for power system control, CIT 3,1995. Booch, G., Object Oriented Analysis and Design with Applications, Addison – Wesley OTS, 1994.


Strauss C., Practical Electrical Network Automation and Communication Systems, Elsevier, 2003. Brand K.P., Lohmann V., Wimmer W., Substation Automation Handbook, UAC, 2003. Shahidehpour M., Wang Y., Communication and Control in Electric Power Systems, Wiley & Sons, 2003.


Title Number of copies Number of students Pauše Ž., Uvod u teoriju informacije, Školska knjiga, Zagreb, 1990 0 3-5

Šimunić J., Modular structure of stochastic process information for power system control, CIT 3,1995

0 3-5

Booch, G., Object Oriented Analysis and Design with Applications, Addison – Wesley OTS, 1994

0 3-5



49



Basic description

Course coordinator Dario Matika

Course title Reliability of Technical Systems



Year 1




Understanding the contents concerning the reliability of technical systems. Developing students’ ability to independently analyze and evaluate the reliability of technical systems.


None.


After passing the exam the student should be able to: 1. Explain the basic concepts of reliability theory 2. Model the reliability of the system with independent components 3. Analyze the reliability of system with dependent components 4. Analyze safety and risk failure of technical system 5. Analyze the reliability and fault tree of complex technical system 6. Apply experimental methods to determinate reliability

1.17. Course content

Fundamental concepts of the theory of reliability, the reliability of components, probability density function of failure and failure rate. Modelling the reliability of the system with independent components (serial, parallel and mixed configuration). Mathematical models for calculating the reliability and availability of complex systems. Reliability of system with dependent components. A system with reserve and Markovljev models. System with repairable components. Effectiveness of technical systems and the definition of performance parameters. Reliability analysis and fault tree analysis of complex technical systems. Experimental methods for determining reliability.




1.19. Comments


Students are required to attend the class, write a seminar and a project and access the oral exam. Seminar and project should be done in consultation with the teacher.


Course attendance 0,5 Activity/Participation Seminar paper 2 Experimental work Written exam Oral exam 1,5 Essay Research Project 2 Sustained knowledge check Report Practice Portfolio

50




Assessment and evaluation of students’ work will be done on the basis of the result of their seminars, project and oral exam


Vujanović, N., Teorija pouzdanosti tehničkih sistema, Beograd, 1987 (Theory of Reliability of Technical Systems) http://www.weibull.com/basics/system_reliability.htm http://blocksim.reliasoft.com/


Kolowrocki Krzysztof, Soszynska-Budny Joanna, Reliability and Safety of Complex Technical Systems and Processes, 2011, XX, 476p 101 illus, ISBN 978-0-85729-693-1 Briolini Alessandro, Reliability Engineering: Theory and Practice, Sixth Edition, 2010,ISBN 978-3-642-14951-1 Pham, Hoang (Ed.), Handbook of Reliability Engineering, 2003, XXXI, 663p, ISBN 978-1-85233-453-6 http://www.journalamme.org/papers_vol43_1/4311.pdf


Title Number of copies Number of students Vujanović, N., Teorija pouzdanosti tehničkih sistema, Beograd, 1987

(Theory of Reliability of Technical Systems) 1 3-5


Through to the institution’s quality assurance system.

51



Basic description

Course coordinator Francesco Gregoretti, Saša Vlahinić

Course title Digital System Design



Year 1




The goal is to provide a deep insight into design methodologies of complex digital systems. This requests an overview of the design choices and the integration capabilities of the different components. The course will analyze systems composed of microprocessors/ microcontrollers, programmable logic, memories and interfaces to the external world. Special emphases will be given to how to interface, program, interconnect the design blocks and to the 'design flow', that is to find the best tools and methodologies.


None.


After passing the exam the student will be able to: - describe and analyze the general structure of a digital processing system, - analyze the main characteristics of a general purpose microprocessor and the internal structure of special purpose processors, - integrate additional functions into a general purpose processing unit, - adapt the programming flow, - analyze the main peripheral devices, - apply the buffering strategies and clocking schemes, interfacing and implementation methodologies, - integrate custom peripherals into existing processing units, - analyze and use programmable logical components (PLD, FPGA).

1.30. Course content

General structure of a digital processing system: processing element, memory. I/O, interconnection network, power supply and timing.Main characteristics of a general purpose microprocessor: internal structure, taxonomy, programming model. Internal structure of special purpose processors: DSP, coprocessors, DMA controllers, reconfigurable processors. Integration of additional functions into a general purpose processing unit either by modification of the ISA or by the addition of a dedicated coprocessor. Programming flow. Main peripheral devices: Digital and analog I/O, synchronous and asynchronous communication systems. Buffering strategies and clocking schemes, interfacing and implementation methodologies. Integration of custom peripherals into existing processing units. Programmable logical components (PLD, FPGA): internal architecture, design flow, power supply, area and speed optimization.




1.32. Comments


52



Students are required to attendant classes, do laboratory work and make project assignment.


Course attendance


3,5

Written exam 2 Oral exam Essay Research

Project Sustained knowledge check Report Practice

Portfolio


Assessment and evaluation of student’s work will be done on basis of written exam and laboratory work.


1. F. Vahid, T. Givargis, Embedded System Design, A unified Hardware/Software Introduction, John Wiley and Sons, 2002.



Title Number of copies Number of students F. Vahid, T. Givargis, Embedded System Design, A unified

Hardware/Software Introduction, John Wiley and Sons, 2002 0 3-5


Through the Institution’s quality assurance system.

53



Basic description

Course coordinator Nelida Črnjarić-Žic

Course title Statistical Methods and Stochastic Processes



Year 1




Knowledge about basic principles in statistical methods needed for the analysis of data obtained from different engineering problems. Introduction to stochastic processes. Data manipulation and the analysis of statistical data by applying acquired methods within statistical engineering software’s, modeling of engineering problems as stochastic processes.


None.


To differentiate methods of statistical inference, to explain basic concepts of techniques of statistical inference. To define stochastic processes and Markov chains as a special type of stochastic processes, to define and explain in an appropriate way the basic concepts in stochastic processes. To identify and to describe practical engineering problems in which the statistical methods can be usefully applied as well as problems which can be modeled as stochastic processes. To define adequate problem formulation for applying the appropriate statistical method, or to model a problem as a stochastic process. To analyze the possibilities of applying different methods of statistical inference in the considered problem, to compare them and to choose an appropriate method. To summarize statistical data and to analyze them by using some typical statistical engineering software’s. To analyze the results of statistical data processing, to interpret obtained results and make conclusions about the data, as well as to make possible predictions based on obtained conclusions.

1.4. Course content

Elements of statistical inferences: Bayesian methods, sample based methods, statistical estimation, parametrical tests, analysis of variance, multidimensional random variables, regression and correlation analysis, mathematical bases of quality control methods. Statistical methods by using statistical software. Stochastic processes: Markov chains, stochastic matrix, optimal control of Markov chains. Stationary and regular Markov chains. Markov processes. Birth and death processes. Queuing systems. Stationary stochastic processes. Correlation theory. Some applications in engineering.




1.6. Comments


Class attendance (individual consultations), solving the project assignments, preparation and presentation of seminar paper.


54



Course attendance

0,5 Activity/Participation Seminar paper 1,5 Experimental work



Report Practice

Portfolio


Course attendance, class activity, project assignments, seminar paper


Montgomery, D.C., Runger, G.C.: Applied Statistics and Probability for Engineers, Wiley, New York, 2003. Devore, J.L.: Probability and Statistics for Engineering and the Sciences, Duxbury Press, 1995. Winston, W. L.: Introduction to probability models: Operations Research, Volume II, Duxbury Press, 2003.


McClave, J.T., Dietrich, F.: Statistics, Collier Macmillan Publishers, London, 1988. Elezović, N.: Statistika i procesi, FER, Element, Zagreb 2008. (in Croatian)


Title Number of copies Number of students Montgomery, D.C., Runger, G.C.: Applied Statistics and Probability for Engineers, Wiley, New York, 2003

1 3-5

Devore, J.L.: Probability and Statistics for Engineering and the Sciences, Duxbury Press, 1995

1 3-5

Winston, W. L.: Introduction to probability models: Operations Research, Volume II, Duxbury Press, 2003

1 3-5



55



Basic description

Course coordinator Neven Bulić

Course title Control of Synchronous Generators



Year 1




The aim of this course is to introduce students to the problems of the synchronous generator Control in power system.


None.


After passing the exam the student should be able to: 1. Mathematically model the synchronous generator with a control structure and the excitation system in parallel operation with the power system 2. Analyze the synchronous generator stability aspects and problems 3. Apply advanced control methods for synchronous generator in order to extend the stable operation region.

1.4. Course content

1. Mathematical model of synchronous generator (seventh order model, state space model, decoupling fast and slow dynamics) 2. Stability of Synchronous generators in power system 3. Control structure, excitation types, protection algorithm in excitation system 4. Electromechanical oscillations, damping improvement, PSS types, advanced control structures 5. Modern control systems and microprocessors in synchronous generator excitation control, Digital control system example




1.6. Comments



Course attendance

0.5 Activity/Participation Seminar paper 2.5 Experimental work

Written exam Oral exam 3 Essay Research Project Sustained knowledge Report Practice

56



check Portfolio


Evaluation of students' work will be based on the results of his seminar work, project and oral exam.


1. P.Kundur, „Power System Stability and Controll“, McGraw-Hill, New York, 1994. 2. P.M. Fuad, A.A. Anderson, „ Power System Control and Stability“, IEEE PRESS, New York 1994


1.G. Rogers, „Power System Oscillation“, Kluwer Academic Publishers, Springer Boston 2000. 2.Yuri A. Kuznetsov, Elements of Applied Bifurcation Theory, Second Edition, Springer 1997.


Title Number of copies Number of students P.Kundur, „Power System Stability and Control“, McGraw-Hill, New York,

1994 0 3-5

P.M. Fuad, A.A. Anderson, „ Power System Control and Stability“, IEEE PRESS, New York 1994

0 3-5


Through an established system of the quality monitoring on the faculty.

57



Basic description

Course coordinator Željko Jeričević

Course title Information Theory With Applications



Year 1




The objectives of the course are to train students for understanding and working knowledge of information theory. They will learn to apply information theory methods to analyze information in wide range of communication, storage and processing systems.


Basic programming in Linux environment.


After passing the exam the student should be able to: 1. analyze the communication channel 2. analyze uncertainty in terms of information entropy and other information measures, 3. apply the information theory framework to problems in data analysis, 4. analyze, propose and implement new applications using information theory framework.

1.4. Course content

The course is centred on communication and computation analysis using information theory framework. Physical nature of information, the connection with probability theory and physical concept of entropy is emphasized. Main topics include: probability and information, information and computation, coding and compression, analysis of information flow in biological systems, algorithmic information and complexity, noise and error correction.




1.6. Comments




Course attendance




Report Practice

Portfolio


58





Igor S. Pandžić i drugi, “Uvod u teoriju informacije i kodiranje”, Element, Zagreb, 2007. Robert M. Gray, “Entropy and Information Theory”, Springer-Verlag, New York, 1990, http://ee.stanford.edu/~gray/it.html.


Željko Pauše, “Uvod u teoriju informacije”, Školska knjiga, Zagreb, 1980


Title Number of copies Number of students Igor S. Pandžić i drugi, “Uvod u teoriju informacije i kodiranje”, Element,

Zagreb, 2007 1 3-5

Robert M. Gray, “Entropy and Information Theory”, Springer-Verlag, New York, 1990

Available on http://ee.stanford.edu

/~gray/it.html 3-5



59



Basic description

Course coordinator Kristijan Lenac

Course title Service Robotics



Year 1




The objectives of this course are to teach students about service robotics through lectures and implementations of a robotic system; teach students how to program a robotic system; and teach students how to simulate a robotic system using a robotic simulation platform. The goal is helping students to design, simulate, build and program a robot for effective solutions of selected problems in service robotics.


None.


After passing the exam the student should be able to: 1. describe service robot designs and their usage in industry 2. identify service robot components, sensors and support systems 3. apply and practice basic principles of robotic design 4. use modular robot toolkit and service-oriented platform to simulate the robotics design 5. program a service robot using high level programming language.

1.4. Course content

Service robotics applications. Service robot components and subsystems. Methods of controlling and interfacing to robots. Robot programming. Robotic toolkit and simulation platform. Selected applications.




1.6. Comments


Students are required to attend classes, select or propose a project and present their work through formal presentation.


Course attendance


Written exam Oral exam 2 Essay Research


Report Practice

Portfolio

60




Assessment and evaluation of students' work will be done on the basis of the results of their project and oral exam.


No textbook is required for the course.


1. R. Murphy, Introduction to AI Robotics, MIT Press, Cambridge, 2000 Book is freely available.





61



Basic description

Course coordinator Tihana Galinac Grbac, Darko Huljenić

Course title Introduction to Soft Computing and Applications



Year 1




The objectives of the course are to train students for application of fuzzy logic, neural network and genetic algorithms in solving problems from the fields of optimization, pattern recognition and automatic control


None.


After passing the exam the student should be able to: 1. recognize data sets suitable for possible application of soft computing methods 2. apply soft computing methods for modelling the processes from the problem field 3. apply and develop simple software using available soft computing algorithms 4. understand the application of specific soft computing algorithm 5. analyse, evaluate and interpret the results obtained with application of algorithm.

1.4. Course content

Definitions, goals of soft computing and importance of its application. Fuzzy computing. Definition of fuzzy set and examples. Graphical interpretations. Basic characteristics of fuzzy set and operations on them. Neural computing. Neural networks and biological model. Neural network architecture. Kinds of neural networks and learning rules. Genetic algorithms. Biological evolution. Entity and population, gene definition. Recombination and mutation. Artificial evolution. Genetic algorithm components and parameters. Examples of soft computing applications.




1.6. Comments




Course attendance




Report Practice

Portfolio

62






1. V. Kecman, Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems), MIT Press, Cambridge, MA, 2001.


1. D. K. Chartuvedi, Soft computing: Techniques and its applications in Electrical Engineering, Springer, 2008. 2. D. Dasgupta, Z. Michalewicz, Evolutionary Algorithms in Engineering Applications, Springer-Verlag, Berlin, 1997 3. Neural Network, Fuzzy Logic, and Genetic Algorithms - Synthesis and Applications", by S. Rajasekaran and G.A. Vijayalaksmi Pai, (2005), Prentice Hall, Chapter 1-15, page 1-435.


Title Number of copies Number of students V. Kecman, Learning and Soft Computing: Support Vector Machines,

Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems), MIT Press, Cambridge, MA, 2001

0 3-5



postgraduate doctoral study in the area of … · 2015-04-02 · 2 sveučilište u rijeci •...

Documents