Electrical Engineering and Computer Science

- in preparation- 

Study program structure

The study program of the master's academic studies "Electrical Engineering and Computer Science" of the Faculty of Engineering, University of Kragujevac (hereinafter referred to as the Faculty) contains all elements established by law: a) title and objectives of the study program; b) type of studies and outcome of the learning process in accordance with the law establishing the national qualifications framework; c) academic title; d) conditions for enrolment in the study program; d) list of mandatory and elective study areas, i.e. subjects, with outline content; e) method of conducting studies and time required for conducting individual types of studies; g) credit value of each subject expressed in accordance with the European Credit Transfer System (hereinafter referred to as the ECTS); h) credit value of the final thesis in master's studies, expressed through the ECTS; i) prerequisites for enrolment in individual subjects or groups of subjects; j) method of selecting subjects from other study programs; k) conditions for transferring from other study programs within the same or related fields of study; l) other issues of importance for the implementation of the study program. The content of the study program, study rules, students' rights and obligations, and other issues of importance for the implementation of the study program are printed every year as a special publication, which is also available to the public in electronic form.

            The Master's degree program "Electrical Engineering and Computer Science" at the Faculty of Engineering belongs to the educational and scientific field of Technical and Technological Sciences and the scientific area of Electrical and Computer Engineering , lasts one year (two semesters) and is worth a total of 60 ECTS.

            Only candidates who have achieved at least 240 ECTS in their undergraduate studies and have the academic title of Bachelor of Electrical Engineering and Computer Science obtained at the Faculty of Engineering of the University of Kragujevac or at another related faculty, or at an accredited study program in the scientific field of Electrical and Computer Engineering, can enrol in these studies.

            Although the proposed study program as such is unique, i.e. does not contain modules, students are offered a list of elective courses, some of which may also be offered in other second-cycle study programs of the Faculty of Engineering. All offered courses are elective and each carries 6 ECTS, with the proviso that the choice of certain courses may be conditioned by appropriate prior knowledge, which is prescribed by the conditions for attending classes in the chosen course. The courses are divided into two elective groups: the first, which consists of courses from the scientific field of Electrical and Computer Engineering, and the second, which consists of courses from other related fields. In master's studies, students choose five elective courses worth a total of 30 ECTS, with the condition that they must choose at least three courses from the first elective group. In this way, it is achieved that the majority of courses that students take are from the field of electrical engineering and computer science.

            The study program also includes Professional Practice – Electrical Engineering and Computer Science lasting 90 hours (5 ECTS) and Master's Thesis – a study research paper, as a work on the theoretical foundations of the Final – Master's Thesis (10 ECTS). The Final – Master's Thesis (15 ECTS) is the result of the student's independent work, which systematizes and applies scientific and professional knowledge in order to solve specific problems in the field of electrical engineering and computer science. In this way, students demonstrate the ability to draw appropriate conclusions, as well as the ability to present a certain subject to the professional public.

            The comparability of the outcomes of the study program with relevant international models is the basis of the strategy for ensuring the quality of the teaching process of the Faculty. The conditions for enrolment in the study program and other most important elements of the study program and study regime are prescribed by the Statute and the Regulation on the Study Regime of the Faculty of Engineering in Kragujevac

Purpose of the study program

The purpose of the master's degree program "Electrical Engineering and Computer Science" is to provide additional education for students in the field of electrical engineering and computer science at the master's level, which ensures the acquisition of knowledge and skills necessary for the successful performance of professional engineering tasks within the global labor market, as well as for continuing education within the global educational space.

            The Master's degree in Electrical Engineering and Computer Science lasts one year, or two semesters, has 60 ECTS and provides students with competencies that, with a certain orientation towards acquiring professional skills necessary for engagement in practice, also enable them to continue their academic education at the next level of study (doctoral studies).

            The purpose of the study program follows and is in line with the basic tasks and set goals of the Faculty of Engineering of the University of Kragujevac - education of students in the scientific and educational field of Technical and Technological Sciences , whereby students acquire internationally relevant competencies for a given level, type and area of study. This specific study program is designed in such a way that from the quantitatively modest human resources in the field of electrical engineering and computer science that the Faculty of Engineering has at its disposal, the graduated master engineers in electrical engineering and computer science will obtain qualitatively as good as possible knowledge and skills that will be relevant not only in the national, but also in the European and global frameworks.

            During the studies, students should acquire, confirm and improve knowledge and skills for the relevant specific areas of the engineering profession, specifically in the field of electrical engineering and computer science, which in itself implies the development of analytical skills in relevant sub-areas, and then the ability to develop, synthesize and design appropriate (electronic) devices, devices or programs. At this level of study, a full range of professional engineering competencies and qualifications are acquired. Also, at this level of study, students will be introduced to the methods of scientific research work and will be involved in real research tasks through study research work and the preparation of a final master's thesis.

            The study program aims to enable graduates to find employment in the fields of industry, research, development, services, consulting and organizational work and to familiarize them with the latest achievements and trends in the subject areas of their narrow interest, all in accordance with the needs of society as a whole. Therefore, the proposed study program is socially justified and useful because the field of electrical engineering and computer science in the broadest sense can be considered a support and driving force not only of the high-tech sector, but also of the entire industry.

Study program objectives

The objectives of the proposed study program of the master's academic studies "Electrical Engineering and Computer Science" are aimed at acquiring academic skills and specific knowledge (competences) in accordance with current world practice for studies of Electrical Engineering and Computer Science at the master's academic studies level, with appropriate methods for their acquisition. The objectives also include the further development of students' creative abilities and mastering practical skills necessary for the successful performance of the engineering profession, as well as for further training.

            In accordance with the above, the main goal of the master's degree program "Electrical Engineering and Computer Science" is to provide additional education and training to graduate electrical and computer engineers for the analysis, development and design of more complex system parts, as well as systems as a whole. The goals also include not only further introducing students to everyday engineering practice, but also to simpler aspects of scientific and research work, but also to acquiring knowledge transfer skills. Thus educated experts in the scientific field of electrical engineering and computer science will be able to immediately fit into the current economic environment and thus partially compensate for and reduce the needs of the economy for this type of personnel. Graduated master's degree engineers in electrical engineering and computer science will also have the ability to transfer their knowledge and results to the wider scientific and professional public at the initial level, both orally and in writing.

            Also, the advanced fundamental knowledge acquired in the proposed study program will ensure unhindered monitoring of the latest global trends and scientific achievements in the field of electrical engineering and computer science. This is one of the key aspects given the extremely high dynamics in the aforementioned profession and this scientific field in general. In addition, the goal of the study program is to prepare students for possible continuation of education (primarily in doctoral academic studies) as well as further training and work on themselves. In this regard, and in accordance with modern educational goals, students should acquire work habits for continuous education and advancement in order to be able to follow technological movements and trends in their engineering career, as well as to adapt and independently develop themselves professionally.

            The objectives of the study program are fully aligned with the current demands of the labor market and economic development in the scientific field of electrical engineering and computer science and the defined qualification framework.

Graduate student competencies

By mastering the Master’s degree program, the student acquires general and subject-specific competencies necessary for independent and responsible work on complex engineering tasks, for the application of contemporary scientific and technological achievements, as well as for continuing education at the doctoral level. The study program is designed in accordance with contemporary requirements for the education of electrical engineers and computer scientists at the master’s level, as well as with the needs of contemporary engineering and research practice.

During their studies, the student acquires the following general competencies:

• expanding and deepening fundamental and professional knowledge acquired during undergraduate academic studies, while developing critical thinking and the ability to apply knowledge to the solution of complex and novel problems;
• the ability to apply knowledge and understanding of the phenomena studied, methods of analysis and synthesis, as well as to solve complex engineering problems within their field and in a new or multidisciplinary environment;
• the ability to integrate different areas of knowledge, make decisions and formulate conclusions based on incomplete or limited information, while taking into account professional, ethical, economic, environmental and social aspects;
• the ability to clearly and unambiguously communicate knowledge, information and their own conclusions, based on rational arguments and the results of analyses and research, both to professionals in the field and to the general public;
• the ability to independently acquire new methodologies, technologies and concepts and continuously expand their knowledge and competencies, regardless of the continuation of formal education;
• the ability to work in a team, organize and manage complex tasks, and assume responsibility for the results of their own work;
• developing entrepreneurial competencies and the ability to recognize opportunities for the application of new technologies and innovative solutions;
• readiness to continue their education in doctoral studies and to become involved in scientific research.

Subject-specific competencies are developed through the elective structure of the study program. The student selects five elective courses, thereby forming an individual combination of knowledge and competencies in accordance with their interests, prior knowledge, and professional or research objectives. The elective courses are thematically interconnected and enable the development of competencies in several areas, whereby one course may contribute to the development of competencies in several profiles. In this way, strictly separated modules are not formed, but rather flexible professional profiles that may also be interconnected across disciplines. Depending on the combination of selected courses, the student may develop competencies in the following areas:

• Artificial Intelligence, Machine Learning and Intelligent Systems (courses: Analysis and Design of Artificial Intelligence Algorithms, Neural Networks, Biologically Inspired Computing, Statistical Signal Classification, Decision Support Systems, Digital Image Formation and Processing Methods, Advanced Topics in Signal Processing). The student acquires competencies for the analysis and design of AI/ML algorithms; application of neural networks and other methods of intelligent data processing; statistical modelling, classification and recognition of signals and data; application of artificial intelligence methods in decision support systems.
• Signal, Image and Multimedia Data Processing (courses: Digital Image Formation and Processing Methods, Statistical Signal Classification, Advanced Topics in Signal Processing, Electromagnetics with Computer Simulations, Analysis and Design of Artificial Intelligence Algorithms, Neural Networks). The student acquires competencies for the application of contemporary methods of digital signal and image processing; analysis and classification of signals using statistical and computational methods; design of algorithms for extracting, analysing and recognizing information from signals and images; application of computer simulations in the analysis of physical and electrical engineering systems; integration of signal and image processing methods with machine learning and artificial intelligence methods.
• Electronics, Integrated Circuits and Electronic Systems Design (courses: Integrated Circuit Design, Design of electronic circuits, Electromagnetics with Computer Simulations). The student develops competencies for the analysis and design of complex electronic circuits and systems; application of computer tools for the simulation and verification of electronic systems; understanding of the principles of integrated circuit design; analysis of electromagnetic phenomena relevant to the design of electronic systems; application of computer tools for simulation and verification.
• Automation, Robotics and Mechatronic Systems (courses: Industrial Process Automation, Robotics and Mechatronics, Selected Topics in Virtual Instrumentation, Development of IoT Applications). The student develops competencies for the analysis and design of industrial automation systems; application of control methods in complex technical systems; design and application of robotic and mechatronic systems; application of modern measurement and virtual instrumentation systems; integration of sensors, actuators, computer systems and communication technologies; application of the Internet of Things concept in automated and industrial systems.
• Computer Systems, Distributed Applications and the Internet of Things (courses: Distributed Networks and Systems, Development of IoT Applications, Dataflow Computers and Their Applications, Selected Topics in Business Application Design). The student develops competencies for the analysis and design of distributed computer systems; development of applications based on modern network and distributed architectures; application of the Internet of Things concept and integration of devices, sensors and software systems; understanding and application of alternative computer system architectures, including the dataflow approach; design of complex business and information applications; integration of hardware, communication and software components.
• Virtual Reality, Intelligent Interactive Applications and Emerging Computing Technologies (courses: Virtual Reality Systems, Digital Image Formation and Processing Methods, Neural Networks, Biologically Inspired Computing, Development of IoT Applications). The student develops competencies for the analysis and development of virtual and interactive reality systems; application of image processing and artificial intelligence methods in interactive systems; integration of sensor, graphics and computing components; development of modern interactive computer applications.
• Engineering Decision-Making, Optimization and Operations Research (courses: Decision Support Systems, Operations Research, Analysis and Design of Artificial Intelligence Algorithms, Distributed Networks and Systems, Selected Topics in Business Application Design). The student acquires competencies for mathematical and computational modelling of complex decision-making problems; application of optimization and operations research methods; development of decision support systems; analysis of complex datasets for decision-making purposes; integration of optimization methods, artificial intelligence and business analytics.

The specific professional profile of a student results from their combination of selected courses. Due to the overlap between thematic areas, interdisciplinary profiles may also be formed, for example in the areas of intelligent IoT systems, smart industrial systems, sensor data analysis, or advanced electronic systems design. The acquired competences enable independent work and the assumption of responsibility for the implementation of complex engineering and research and development projects, as well as the continuation of scientific and professional development throughout the professional career.

Curriculum

The study program of the Master's academic studies "Electrical Engineering and Computer Science" lasts 1 year or 2 semesters and is worth 60 ECTS (30 ECTS per semester). The studies are organized by semesters, and the course structure is clearly defined.

            The course schedule by semester, the number of active teaching hours and the corresponding ECTS, along with a detailed description of the course (course name, type of course, semester in which it is implemented, number of ECTS, name of the teacher, course objective with expected outcomes, knowledge and competencies, prerequisites for attending the course, course content, recommended literature, teaching methods, method of knowledge assessment and assessment, number of active teaching hours, etc.) prescribed by the standards for accreditation of study programs, are given in the Study Program Course Catalog.

            The master's degree program "Electrical Engineering and Computer Science" differs from other master's degree programs of the Faculty of Engineering by 63.2% of the total number of ECTS.

            The structure of the study program consists of 5 elective courses that are taken in the first semester of study. The courses are divided into two elective groups: the first (group A) consisting of courses from the scientific field of Electrical and Computer Engineering and the second (group B) consisting of courses from other related fields. At least three courses are chosen from group A of elective courses, while at most two courses are chosen from group B of elective courses. In this way, it is achieved that the majority of courses that students take are from the field of electrical engineering and computer science. For the 2nd semester of study, it is planned that students will complete professional practice and study research work on the theoretical foundations of the master's thesis, as well as to write and defend the master's thesis.

            In the structure of the study program, the following groups of (elective) subjects are represented in relation to the total number of ECTS:

• Scientific and professional-applied 69.89%,
• Academic-general education and theoretical-methodological 30.11%.

            In the structure of the study program of the master's academic studies "Electrical Engineering and Computer Science", elective courses are represented by 50% in relation to the total number of ECTS. Considering the position of elective ECTS of the master's thesis, the elective rate in relation to the total number of ECTS in the study program is 70.83%.

            An integral part of this curriculum is a 90-hour professional internship worth 5 ECTS, which is carried out in appropriate educational, scientific and research institutions, organizations for carrying out innovative activities, in business organizations, public institutions, etc.

            The student completes his/her studies by writing a master's thesis, which consists of mastering the theoretical foundations necessary for a comprehensive understanding of the field of study, writing and defending the thesis itself. For this purpose, a significant fund of 300 hours of study and research work is planned during the second semester of study. The final master's thesis (which carries 15 ECTS) is defended before a committee consisting of at least 3 teachers, at least one of whom must be selected in the scientific field of electrical and computer engineering.

            Active teaching is represented by 600 hours per year, or 20 hours per week. Study research work accounts for 50% of active teaching per year, while the remaining part is made up of lectures, exercises and other forms of active teaching.

Аccreditation 2019

The study program of the master's academic studies in Electrical Engineering and Computing is accredited by the Commission for Accreditation and Quality Assurance of the Republic of Serbia bpoj: 612-00-01749 / 2019-06 from October 29, 2019.

The study program lasts one year (60 ECTS), belongs to the field of technical and technological sciences and gives the academic title "Master of Electrical Engineering and Computing".

The conditions for enrollment in the study program and other most important elements of the study program and study regime are prescribed by the Statute and the Rulebook on the regime of basic and master studies of the Faculty of Engineering.

In addition to taking the exam, the realization of professional practice is also planned, as well as the preparation of a master's thesis.

A list of subjects is given in the Student Guide, and a more detailed description is available in the Course Book.

Upon completion of the master's degree in Electrical Engineering and Computing, the expected learning outcomes are:

• mastering methods and tools for analysis, synthesis and design of electronic and computer systems as well as other specialized computer tools and programs,
• mastery of specific knowledge and skills acquired through study research work, work on project tasks and professional practice,
• acquiring the skill of solving complex problems in an innovative way that contributes to the development in the field of electrical engineering and computing,
• acquiring the skill of applying complex methods, instruments and devices relevant to the field of electrical engineering and computing,
• acquiring the ability of entrepreneurial activity and independent work with full responsibility on the most complex projects,
• acquiring the ability to plan and implement scientific and / or applied research, which means taking into account economic, environmental, organizational and social relations.