Graduate study programme

Graduate University Study Programme in Electrical Engineering, branch Power Engineering

Upon graduation master`s degree holders have acquired knowledge and skills in the field of mathematics, physics, science and engineering required for solving complex engineering problems in the field of power engineering and communication systems.

Concept of the study programme, branch Power Engineering, is based upon a systematic approach to solving engineering and research tasks in different industrial and power engineering fields. At the beginning, the study programme offers courses dealing with phenomena in the electric power system; then, it continues with courses involving corresponding analysis and synthesis methods. In the end, courses impart knowledge on the design of components and power engineering systems as well as industrial and transport plants. Furthermore, special attention is paid to public health care, security and environment protection.

Master`s degree holders in electrical engineering are qualified to investigate complex problems in various branches of industrial and power engineering following the latest trends and adopting different technological changes and innovations in this field. They are able to analyze and come to relevant conclusions. In addition, master’s degree holders can apply adequate methods with the aim of solving specific practical and theoretical problems where they are able to create, select and apply respective techniques, and modern engineering tools understanding at the same time limits such tools might have.

Students acquire a good insight into relevant literature which contains important theoretical background accompanied with methods from this field of science and engineering.

 

Graduate University Study Programme in Electrical Engineering, branch Communications and Informatics

Upon graduation master`s degree holders have acquired knowledge and skills in the field of mathematics, physics, science and engineering required for solving complex engineering problems in the field of power engineering and communication systems.

Concept of the study programme, branch Communications and Informatics, is based upon a systematic approach to solving engineering and research tasks in the field of communications and multimedia. At the beginning, the study programme offers courses dealing with phenomena in the communication system; then, it continues with courses involving corresponding analysis and synthesis methods. In the end, courses impart knowledge on the design of components and communication and multimedia systems. Furthermore, special attention is paid to public health care, security and environment protection.

Master`s degree holders in electrical engineering are qualified to investigate complex problems in various branches of communications and multimedia following the latest trends and adopting different technological changes and innovations in this field. They are able to analyze and come to relevant conclusions. In addition, master’s degree holders can apply adequate methods with the aim of solving specific practical and theoretical problems where they are able to create, select and apply respective techniques, and modern engineering tools understanding at the same time limits such tools might have.

Students acquire a good insight into relevant literature which contains important theoretical background accompanied with methods from this field of science and engineering.

 

Graduate University Study Programme in Computer Engineering

Upon graduation master`s degree holders in computer engineering have acquired knowledge and skills in the field of computer engineering, electrical engineering, mathematics and physics required for solving complex engineering problems in the field of computer engineering and technology.

Concept of the study programme is based upon a systematic approach to solve engineering and research tasks in computer and software engineering. The study programme offers courses imparting basic and advanced knowledge required for understanding, analysis, synthesis, realization and adjustment of computer and software systems for the purpose of advancing the operation of technical systems. Furthermore, students gain knowledge needed for the work in other omnipresent computer environments. Those skills enable students to connect different computer architectures, software environments and methodologies with the aim of designing computer systems of desired performances, as well as system and applied software solutions adjusted to customer needs in information communication, industrial and other environments.

Master`s degree holders in computer engineering are qualified to solve complex problems in various technical branches, information communication environments and industry, as well as to follow the latest trends and adopt different technological changes and innovations in this field. They are able to analyze and come to relevant conclusions. In addition, master’s degree holders can apply adequate methods with the aim of solving specific practical and theoretical problems where they are able to create, select and apply respective techniques, and modern engineering tools understanding at the same time limits such tools might have. Students acquire a good insight into relevant literature which contains important theoretical background accompanied with methods from this field of science and engineering.

 

Graduate university study programme in Automotive Computing and Communications

Graduate university study programme Automotive Computing and Communications provides students the opportunity to specialize in the field of designing, implementing and testing software and computer systems in the automotive industry. After acquiring basic knowledge in the field of advanced programming and embedded computing systems, this graduate study provides students specific knowledge related to communication networks and car protocols, design and testing of software support in security-critical management systems (eg, autonomous vehicle) and security of vehicle information systems. Additional specific knowledge is gained through the program of this study in the field of power supply and vehicle systems, application of energy electronics in the vehicle, digital image and video processing and in the field of machine learning in systems of autonomous and networked vehicles.

Akademska godina:

branch: Computer Engineering, elective block Computer Engineering

Display courses

Semester 1

Computer System Design (DAR1-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Automation and Formal Languages (DR1-02)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

DSP Algorithms and Architecture (DRa1-05)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Control of Dynamic Systems (DRab1-02)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

(DRac1-06-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 2

Embedded Computer Systems (DARab2-04-17)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Real-time Computer Systems (DR2-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

(DRa2-03-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Computer System Networks - Planning and Design (DRa2K4I-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Intelligent Systems (DRab2-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 3

Computer System Reliability and Diagnostics (DR3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

(DR3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

(DRac3-03)

ECTS 7 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Distributed Computer Systems (DRacd3-02)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DA4R4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Digital Image Processing (DAKR4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

(DER4I-05-17)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

(DKR4I-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DKR4I-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

3D Computer Graphics (DR4I-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Robot Vision (DR4I-07)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sonar computing (DR4I-08)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Chess and Computers (DR4I-09)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DR4I-10-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Computer Engineering, elective module Computer Engineering, students will be able to:

  • evaluate factors affecting increased positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • develop and verify simple and complex computer systems based on defined functionalities and properties;
  • design algorithms for digital signal processing using appropriate software and apply to digital signal processing in a development system;
  • design and verify a control system in industrial facilities based on identification and model analysis processes;
  • set up local area networks and determine types of network traffic and necessary quality of service settings;
  • analyze and design embedded real-time systems;
  • design and apply problem solving algorithms by using soft computing methods based on genetic algorithms, neural networks and fuzzy logic;
  • based on requests and parameters, develop and verify reliability methods and methods for diagnosing hardware and software malfunctions;
  • program and evaluate one’s own algorithm and software solutions for parallel and distributed data processing in high performance computing environments;
  • analyze and model computer systems and related software solutions by applying knowledge on formal, regular and context-free languages and automata;
  • develop and evaluate a simple cyber-physical real-time system by applying appropriate algorithms, design principles, evaluation and analysis and development environments;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.

branch: Computer Engineering, elective block Robotics and artificial intelligence

Display courses

Semester 1

Computer System Design (DAR1-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Automation and Formal Languages (DR1-02)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Control of Dynamic Systems (DRab1-02)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

(DRb1-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Pattern Recognition and Machine Learning (DRbd1-06-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 2

Embedded Computer Systems (DARab2-04-17)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Real-time Computer Systems (DR2-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Intelligent Systems (DRab2-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Soft Computing (DRb2-03-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Basics of Robotics (DRb2-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 3

Computer System Reliability and Diagnostics (DR3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

(DR3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

(DRb3-03)

ECTS 7 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Industrial Informatics (DRb3Ec1-03)

ECTS 7 / P Lecture 30 / A Practice 15 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DA4R4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Digital Image Processing (DAKR4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

(DER4I-05-17)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

(DKR4I-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DKR4I-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

3D Computer Graphics (DR4I-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Robot Vision (DR4I-07)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sonar computing (DR4I-08)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Chess and Computers (DR4I-09)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DR4I-10-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

NOTICE: Students who have enrolled in the elective module prior to the academic year 2018/2019 and are not repeating the first year of study can continue to study the elective module Process Computing without its name being changed.

Upon completion of the graduate university study programme in Computer Engineering, elective module Process Computing, students will be able to:

  • evaluate factors affecting increased positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • develop and verify simple and complex computer systems based on defined functionalities and properties;
  • develop a mathematical model based on an identification process and verify a project control system in industrial facilities;
  • design algorithms for digital signal processing using appropriate software and apply to digital signal processing in a development system;
  • apply machine learning and data clustering algorithms in solving classification and regression problems;
  • describe the position of a rigid body in 3D space by using mathematical tools based on kinematic parameters and design a control system and software support for a robot manipulator, i.e. a mobile robot;
  • analyze and design embedded real-time systems;
  • design and apply problem solving algorithms by using soft computing methods based on genetic algorithms, neural networks and fuzzy logic;
  • based on requests and parameters, develop and verify reliability methods and methods for diagnosing hardware and software malfunctions;
  • build a process model, design a control and management industrial process system and develop user software support;
  • analyze and model computer systems and related software solutions by applying knowledge on formal, regular and context-free languages and automata;
  • develop and evaluate a simple cyber-physical real-time system by applying appropriate algorithms, design principles, evaluation and analysis and development environments;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.

branch: Computer Engineering, elective block Software Engineering

Display courses

Semester 1

Computer System Design (DAR1-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Automation and Formal Languages (DR1-02)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

(DRac1-06-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Software System Design and Modelling (DRc1-05)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Service Computing and Big Data (DRcd1-06-18)

ECTS 6 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 2

Real-time Computer Systems (DR2-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

System Programming (DRcd1-04)

ECTS 6 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Data visualization (DRcd2-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Web Programming (DRcdKb2-02-18)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Mobile platform application development (DRcKb2-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Sum of ECTS credits 30

Semester 3

Computer System Reliability and Diagnostics (DR3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

(DR3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

(DRac3-03)

ECTS 7 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Distributed Computer Systems (DRacd3-02)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DA4R4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Digital Image Processing (DAKR4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

(DER4I-05-17)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

(DKR4I-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DKR4I-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

3D Computer Graphics (DR4I-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Robot Vision (DR4I-07)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sonar computing (DR4I-08)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Chess and Computers (DR4I-09)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DR4I-10-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Computer Engineering, elective module Software Engineering, students will be able to:

  • evaluate factors affecting increased positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • develop and verify simple and complex computer systems based on defined functionalities and properties;
  • based on requests and parameters, develop and verify reliability methods and methods for diagnosing hardware and software malfunctions;
  • program and evaluate one’s own algorithm and software solutions for parallel and distributed data processing in high performance computing environments;
  • analyze and model computer systems and related software solutions by applying knowledge on formal, regular and context-free languages and automata;
  • develop and evaluate a simple cyber-physical real-time system by applying appropriate algorithms, design principles, evaluation and analysis and development environments;
  • design and model programming systems by using appropriate modeling languages;
  • program and test a complex mobile application and a related interface by using appropriate platforms, devices and principles;
  • using different approaches and technologies, program and evaluate a browser-side and server-side web application;
  • develop and analyze data visualization by using theoretical knowledge, tools and data visualization libraries;
  • program and evaluate one’s own algorithm and software solutions for conducting a cluster data analysis in cloud environments by using artificial intelligence;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.

branch: Computer Engineering, elective block Information and data science

Display courses

Semester 1

Computer System Design (DAR1-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Automation and Formal Languages (DR1-02)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Pattern Recognition and Machine Learning (DRbd1-06-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Service Computing and Big Data (DRcd1-06-18)

ECTS 6 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Image Processing and Computer Vision (DRd1-05)

ECTS 6 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 2

Real-time Computer Systems (DR2-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

System Programming (DRcd1-04)

ECTS 6 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Data visualization (DRcd2-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Web Programming (DRcdKb2-02-18)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Game Development (DRd2-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Sum of ECTS credits 30

Semester 3

Computer System Reliability and Diagnostics (DR3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

(DR3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

Distributed Computer Systems (DRacd3-02)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Internet of Things (DRdKb3-03)

ECTS 7 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DA4R4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Digital Image Processing (DAKR4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

(DER4I-05-17)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

(DKR4I-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DKR4I-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

3D Computer Graphics (DR4I-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Robot Vision (DR4I-07)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sonar computing (DR4I-08)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Chess and Computers (DR4I-09)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DR4I-10-18)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Computer Engineering, elective module Information and Data Science, students will be able to:

  • evaluate factors affecting increased positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • develop and verify simple and complex computer systems based on defined functionalities and properties;
  • based on requests and parameters, develop and verify reliability methods and methods for diagnosing hardware and software malfunctions;
  • program and evaluate one’s own algorithm and software solutions for parallel and distributed data processing in high performance computing environments;
  • analyze and model computer systems and related software solutions by applying knowledge on formal, regular and context-free languages and automata;
  • develop and evaluate a simple cyber-physical real-time system by applying appropriate algorithms, design principles, evaluation and analysis and development environments;
  • apply concepts and methods for image processing and computer vision in open source applications;
  • program and interpret a simple computer game design by using basic elements and development tools;
  • estimate appropriateness of IoT elements, tools and libraries and apply them to design and develop one’s own software solution with sensors in a microcontroller system;
  • using different approaches and technologies, program and evaluate a browser-side and server-side web application;
  • develop and analyze data visualization by using theoretical knowledge, tools and data visualization libraries;
  • program and evaluate one’s own algorithm and software solutions for conducting a cluster data analysis in cloud environments by using artificial intelligence;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.

branch: Communications and Informatics, elective block Communication Technology

Display courses

Semester 1

Advanced Programming (DAK1-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Electromagnetic fields and waves (DK1-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Computer Networks (DK1-02)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Numerical Mathematics (DKa1-04)

ECTS 5 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Microelectronics (DKa1-05)

ECTS 7 / P Lecture 30 / A Practice 0 / L Lab 15 / K 30

Sum of ECTS credits 30

Semester 2

Multimedia Systems (DK2-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 15 / K 15

Transmitters (DKa2-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Radio-relay and Satellite Communications (DKa2-03)

ECTS 5 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Antennas (DKa2-04)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Optoelectronic Communications (DKa2-05)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 3

(DEK3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

Mobile communications (DK3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Receivers (DKa3-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Application of microcontroller systems (DKa3-03)

ECTS 7 / P Lecture 15 / A Practice 0 / L Lab 30 / K 15

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DA4R4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Digital Image Processing (DAKR4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

(DKR4I-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DKR4I-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Computer System Networks - Planning and Design (DRa2K4I-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Electrical Engineering, branch Communications and Informatics, elective module Communication Technology, students will be able to:

  • evaluate factors affecting the maximization of positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection;
  • design analogue and digital circuits using a given technology;
  • analyze and evaluate the operation of a receiver and transmitter (optoelectronic, radio relay and satellite);
  • analyze, and analytically and/or numerically determine the field components for different configurations and dynamics of charge fluctuations of a radiating structure;
  • design fundamental computer network parameters and integrate the network into the global network;
  • develop and verify a software solution for a microcontroller system;
  • analyse and evaluate modulation methods for the given communications systems;
  • analyse the procedures for video coding and develop still image and video processing algorithms;
  • calculate the RF signal coverage of a cellular communications system.

branch: Communications and Informatics, elective block Network Technology

Display courses

Semester 1

Advanced Programming (DAK1-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Electromagnetic fields and waves (DK1-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Computer Networks (DK1-02)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Digital Signal Processing (DKb1-04-18)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Codes and Coding (DKb1-05)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 2

Object Based Programming (DAKb2-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Multimedia Systems (DK2-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 15 / K 15

Computer Systems Security (DKb2-03)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Web Programming (DRcdKb2-02-18)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Mobile platform application development (DRcKb2-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Sum of ECTS credits 30

Semester 3

(DEK3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

Mobile communications (DK3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Communication Protocols (DKb3-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Internet of Things (DRdKb3-03)

ECTS 7 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DA4R4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Digital Image Processing (DAKR4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

(DKR4I-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DKR4I-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Computer System Networks - Planning and Design (DRa2K4I-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Electrical Engineering, branch Communications and Informatics, elective module Network Technology, students will be able to:

  • evaluate factors affecting the maximization of positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection;
  • create a programming code (application) and carry out structural and functional testing of the created application;
  • apply rules of optimal coding of an information source;
  • analyze and calculate near and far fields for different configurations and dynamics of charge fluctuations of a radiating structure;
  • design fundamental computer network parameters and integrate the network into the global network;
  • develop and verify a software solution for a target architecture;
  • implement mechanisms, methods and protocols of flow, congestion and security control in a computer network;
  • analyse the procedures for video coding and develop still image and video processing algorithms;
  • calculate the RF signal coverage of a cellular communications system.

branch: Power Engineering, elective block Power Engineering systems

Display courses

Semester 1

Electrical Machines (DE1-01)

ECTS 6 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Power Transformers (DEa1-04-17)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Power System Economics and Electricity Market (DEa1-05)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Power System Analysis (DEab1-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Electric Power Substations (DEab1c3-03)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 2

Power Plants (DE2-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Power System Stability and Reliability (DEa2-03)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Switching Devices and High-Voltage Engineering (DEa2-04)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Quality and Reliability in Electric Power Systems (DEa2-05)

ECTS 6 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Transmission and Distribution of Electrical Energy (DEab2-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 3

Power System Protection (DE3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

(DEa3-03)

ECTS 7 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Power System Operation Control (DEab3-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

(DEK3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DE4I-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DE4I-04)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

(DE4I-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DE4I-07)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Uninterruptible Power Supply Systems (DE4I-08)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

(DE4I-09)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Thermal Applications of Renewable Energy Sources (DE4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 0 / K 30

(DE4I-11)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 15

(DER4I-05-17)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Electrical Engineering, branch Power Engineering, elective module Power Engineering Systems, students will be able to:

  • evaluate factors affecting increased positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • at the level of theoretical considerations, evaluate additional aspects in the power system, i.e. those related to power system components, market, quality and reliability of electricity supply as well as transient phenomena and stability of the power system;
  • apply acquired skills related to market simulation and analysis, quality and reliability of electricity supply;
  • apply acquired skills related to simulation and analysis of transient phenomena and power system stability;
  • at the level of theoretical considerations, evaluate all aspects related to electricity generation, transmission, and distribution, and power system protection and control;
  • apply acquired skills related to simulation and analysis in the phases referring to planning, construction, operation and maintenance of electric power components, plants and systems;
  • design electrical installations and lighting;
  • based on the analysis and calculations, design electric power components, plants and systems;
  • analyse the operating states of different types of electrical machines and implement the procedures of diagnostic testing methods of electrical machines;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.

branch: Power Engineering, elective block Sustainable Power Engineering

Display courses

Semester 1

Electrical Machines (DE1-01)

ECTS 6 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Power System Analysis (DEab1-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Electric Power Substations (DEab1c3-03)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Energy Efficiency (DEb1-04)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Energy Efficiency of Electrical Systems (DEB1-06-17)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 2

(DAEbc2-04)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Power Plants (DE2-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Transmission and Distribution of Electrical Energy (DEab2-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Renewable Electricity Sources (DEb2-05)

ECTS 6 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Design of Electrical Installations, Lighting and Facilities (DEbc2-03)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 3

Power System Protection (DE3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Power System Operation Control (DEab3-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

(DEb3-03)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

(DEK3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DE4I-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DE4I-04)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

(DE4I-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DE4I-07)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Uninterruptible Power Supply Systems (DE4I-08)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

(DE4I-09)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Thermal Applications of Renewable Energy Sources (DE4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 0 / K 30

(DE4I-11)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 15

(DER4I-05-17)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Electrical Engineering, branch Power Engineering, elective module Sustainable Power Engineering, students will be able to:

  • evaluate factors affecting increased positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • at the level of theoretical considerations, evaluate additional aspects related to energy efficiency, technologies, design and integration of renewable energy-based distributed generation and smart power grids;
  • apply acquired skills related to simulation and analysis of energy efficiency in electrical systems;
  • apply acquired skills related to simulation and analysis of electricity generation and the impact of renewable energy-based distributed generation on the power system;
  • at the level of theoretical considerations, evaluate all aspects related to electricity generation, transmission, and distribution, and power system protection and control;
  • apply acquired skills related to simulation and analysis in the phases referring to planning, construction, operation and maintenance of electric power components, plants and systems;
  • design electrical installations and lighting;
  • based on the analysis and calculations, design electric power components, plants and systems;
  • analyse the operating states of different types of electrical machines and implement the procedures of diagnostic testing methods of electrical machines;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.

branch: Power Engineering, elective block Industrial Power Engineering

Display courses

Semester 1

Electrical Machines (DE1-01)

ECTS 6 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Application of Electromagnetic Theory in Power Engineering (DEc1-02)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Electromagnetic Compatibility (DEc1-04)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Electrical and Magnetic Measurements (DEc1-05)

ECTS 5 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Industrial Informatics (DRb3Ec1-03)

ECTS 7 / P Lecture 30 / A Practice 15 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 2

(DAEbc2-04)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Power Plants (DE2-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Design of Electrical Installations, Lighting and Facilities (DEbc2-03)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Electric Drives (DEc2-02)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Industrial Measurements (DEc2-05)

ECTS 6 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Sum of ECTS credits 30

Semester 3

Power System Protection (DE3-01)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Electric Power Substations (DEab1c3-03)

ECTS 7 / P Lecture 45 / A Practice 15 / L Lab 15 / K 0

Dynamics of Industral Systems (DEc3-03)

ECTS 7 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

(DEK3-04)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

Sum of ECTS credits 30

Semester 4

Management (D4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Project Management (D4-02)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

Sum of ECTS credits 25

elective block

(DE4I-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DE4I-04)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

(DE4I-05)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DE4I-07)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Uninterruptible Power Supply Systems (DE4I-08)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

(DE4I-09)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Thermal Applications of Renewable Energy Sources (DE4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 0 / K 30

(DE4I-11)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 0 / K 15

(DER4I-05-17)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

(DI401-17)

ECTS 5 / P Lecture 15 / A Practice 0 / L Lab 15 / K 30

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Electrical Engineering, branch Power Engineering, elective module Industrial Power Engineering, students will be able to:

  • evaluate factors affecting increased positive business performance of a company;
  • create a project plan using appropriate project planning and management tools and techniques;
  • at the level of theoretical considerations, evaluate all aspects related to electricity generation, transmission, and distribution, and power system protection and control;
  • apply acquired skills related to simulation and analysis in the phases referring to planning, construction, operation and maintenance of electric power components, plants and systems;
  • design electrical installations and lighting;
  • design electric drives and systems based on synthesis, calculation and simulations;
  • analyse the elements of automated electric drives, apply various control methods and perform measurements of process values in industrial plants;
  • formulate mathematical models of physical systems for the purpose of performing simulation and analysis of electromagnetic fields in electrical devices;
  • based on measurements of process values, analyse the operation of control components of a power electronics system;
  • based on measurements of electrical and magnetic values, identify the parameters of a mathematical model;
  • analyse the operating states of different types of electrical machines and implement the procedures of diagnostic testing methods of electrical machines;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.

branch: Automotive Computing and Communications

Display courses

Semester 1

(DA1-01)

ECTS 6 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

(DA1-02)

ECTS 6 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DA1-03)

ECTS 6 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Advanced Programming (DAK1-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Computer System Design (DAR1-01)

ECTS 7 / P Lecture 45 / A Practice 0 / L Lab 30 / K 0

Sum of ECTS credits 30

Semester 2

(DA2-01)

ECTS 7 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

(DA2-02)

ECTS 7 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DAEbc2-04)

ECTS 5 / P Lecture 45 / A Practice 0 / L Lab 15 / K 0

Object Based Programming (DAKb2-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Embedded Computer Systems (DARab2-04-17)

ECTS 6 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 30

Semester 3

(DA3-01)

ECTS 9 / P Lecture 0 / A Practice 0 / L Lab 0 / K 200

(DA3-02)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DA3-03)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DA3-04)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

(DA3-05)

ECTS 5 / P Lecture 30 / A Practice 15 / L Lab 15 / K 0

Sum of ECTS credits 29

Semester 4

Diploma Paper (D4-03)

ECTS 16 / P Lecture 0 / A Practice 0 / L Lab 0 / K 0

(DA4-01)

ECTS 4 / P Lecture 30 / A Practice 15 / L Lab 0 / K 0

(DA4R4I-10)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 0

Sum of ECTS credits 25

elective block

(DA4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 15 / K 15

Digital Image Processing (DAKR4I-01)

ECTS 5 / P Lecture 30 / A Practice 0 / L Lab 30 / K 15

Fakultativni predmeti

(D4F-01)

ECTS 4 / P Lecture 30 / A Practice 30 / L Lab 0 / K 0

Upon completion of the graduate university study programme in Automotive Computing and Communications, students will be able to:

  • create a project plan using appropriate project planning and management tools and techniques;
  • develop and test algorithms for effective message transmission in wireless ad-hoc vehicle networks;
  • design automotive software support: from risk analysis to a functionally safe concept;
  • develop one’s own software solution to the given problem for the target architecture and correct the faults that occurred in its creation;
  • design and test embedded computing systems with peripheral units;
  • specify and explain the functioning of developed and applied automotive computer systems;
  • explain and apply automotive software diagnostics methods;
  • choose and apply appropriate deep learning methods and models to solving specific problems in intelligent transport systems;
  • analyse modes of energy flow management in a vehicle by using electronic energy converters;
  • create energy storage system models in a vehicle and perform a critical analysis of simulation results;
  • apply advanced image and video processing algorithms in real time;
  • analyse communication networks in a vehicle and define the characteristics of key protocols;
  • identify engineering tasks, necessary knowledge and skills related to manufacturing technologies, measures, procedures, regulations and norms for ensuring work safety and employment protection.