Power Engineering, Automation and Renewable Energy Sources – 2022

ObjectivesLearning outcomesIIIIIIIVVVIVIIVIIIElective Courses

Study Programme
Power Engineering, Automation and Renewable Energy Sources

Degree Programme
First cycle degree programme

Level of qualification
Bachelor of Science in Electrical Engineering and Information Technologies, in Power Engineering, Automation and Renewable Energy

Occupational Profiles of Graduates
Graduated engineers from this profile are empowered with skills to work in power sector (power plants utilities, energy transmission and distribution) in industry, small and medium enterprises, engineering and consalting companies as well as in research and development centers and educational institutions. Graduate engineers have a unique opportunity to contribute in power sector that is the most sustainable employer since many decades. Power and Industry offer many opportunities for well paid jobs and successful carrier. Working in the field of Renewable Energy Sources offers great opportunities and chalenges for young engineers in contemporary environment. This profile of graduate electrical engineers with internationally recognized diploma, are required in engineering&consalting, public sector, power&supply companies in the country and abroad.

The Programme Learning Outcomes
The study programme provides graduated electrical engineer with high-level educated research skills and competencies for design, professional development and put into operation the power plants and devices, in entire power system (production, transmission and distribution) utilizing the principles of electro-thermical and electro-mechanical energy conversion. The further educational goals are: Variable speed and torque control of electrical drives; Design and process automatisation; Modelling analysis and design of electrical machinery and transformers by means of advanced software tools; Efficiency and reliable industry/haushold energy consumption. Electrical engineers with this profile have the chance to work with esteemed innovators, engineers, and scientists to develop economically viable and environmentally sustainable clean-energy systems that utilize renewable energy sources, with emphasis on wind, solar, and water power exploitation. Furthermore students have the opportunity to gain practical skills for investigationg RES and testing the machinery and equipment in our modern laboratory.

International Accreditation
The first cycle study programs at FEEIT are accredited by the German Accreditation Agency for Study Programmes in Engineering, Informatics, Natural Sciences and Mathematics (ASIIN), which is a world leader in quality assurance in higher education. This accreditation confirms that the study programs satisfies the criteria for Bachelor degree programs specified in EUR-ACE Framework standards for the accreditation of engineering programs and the content studied are relevant to areas covered in study programs.

General Learning Outcomes

Knowledge and understanding
  • Demonstrate knowledge and understanding in the scientific field of electrical engineering, based on education and training, including knowledge of theoretical, practical, conceptual, comparative, and critical perspectives in the scientific field according to the appropriate methodology.
Application of knowledge and understanding
  • Demonstrate the ability to apply acquired knowledge and understanding in a professional manner.
  • An ability to identify, analyze and solve complex engineering problems by selecting an appropriate method.
Ability to assess
  • An ability to collect, analyze, evaluate and present information, ideas, and concepts based on relevant data.
  • Making an appropriate assessment taking into account personal, social, scientific and ethical aspects.
Communication skills
  • An ability to communicate effectively in both verbal and written forms with professional and non-professional audiences.
  • An ability to work effectively as an individual or as a member of a team taking shared responsibility for collective results.
  • Ability to participate independently, in a professional manner, in regards to scientific and interdisciplinary discussions.
Learning skills
  • Commitment to the professional development and lifelong learning achieved through higher education, technical training, membership in professional societies, and other activities in order to update already acquired knowledge in the relevant field to achieve continuous professional growth.
  • An ability to acquire and apply new knowledge as needed using appropriate learning strategies.


Specific Learning Outcomes

Knowledge and understanding
  • Demonstrate knowledge and understanding in the scientific field of electrical engineering, based on education and training, including knowledge of theoretical, practical, conceptual, comparative, and critical perspectives in the scientific field according to the appropriate methodology.
  • Demonstrate knowledge and understanding of research, development, and engineering design in industrial processes and power engineering, automation and renewable energy sources.
  • Understanding and knowledge of current issues related to scientific research and new sources of knowledge.
Application of knowledge and understanding
  • An ability to identify, analyze and solve complex engineering problems.
  • An ability to apply knowledge and understanding in a way that demonstrates professionalism to the relevant field or profession.
  • An ability to identify, analyze and solve problems related to power engineering, automation and renewable energy sources.
Ability to assess
  • An ability to collect, analyze, evaluate and present information, ideas and concepts from relevant data.
  • Making an appropriate assessment taking into account personal, social, scientific and ethical aspects.
  • An ability to provide answers to both theoretical and practical issues, in order to give explanations and choose the appropriate solution.
  • An ability to analyze, evaluate and present information, ideas and concepts from relevant data in the field of power engineering, automation and renewable energy sources.
Communication skills
  • An ability to communicate effectively in both verbal and written forms with professional and non-professional audiences.
  • An ability to work effectively as an individual or as a member of a team taking shared responsibility for collective results.
  • An ability to participate independently and professionally in specific, scientific and interdisciplinary discussions
Learning skills
  • Commitment to professional development and lifelong learning through higher education, technical training, membership in professional societies, and other activities in order to update already acquired knowledge in the field and to achieve continuous professional growth.
  • An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
  • Demonstrate a high degree of independence initiative for learning and professional development.
  • Understanding the need for learning and ability for continuous professional development, through the use of professional and scientific literature, professional training, continuing formal education, membership in professional organizations, etc.
  • Awareness of new technologies and the ability to evaluate and use modern software development tools.
  • An ability to use information technologies for distance and e-learning.
  • Skills for cooperative, competitive and individual learning.
  • Applying active teaching and learning techniques.

Semester 1
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ08З007 Mathematics 1 8 4+3+0+0
4ФЕИТ08З015 Physics 1 7 3+2+1+0
4ФЕИТ06З006 Fundamentals of Electrical Engineering 8 3+3+1+0
4ФЕИТ07З019 Programming and Algorithms 7 2+2+2+0

Semester 2
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ03Л003 Electrical Materials 3 2+0+1+0
4ФЕИТ06Л005 Fundamentals of Electric Circuits 7 3+2+1+0
4ФЕИТ08Л008 Mathematics 2 7 3+3+0+0
4ФЕИТ07Л018 Data Structures and Programming 6 2+2+2+0
4ФЕИТ08Л016 Physics 2 7 3+2+1+0

Semester 3
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ08З009 Mathematics 3 6 3+3+0+0
4ФЕИТ03З006 Electrical Measurements 6 3+1+1+0
4ФЕИТ05З033 Signals and Systems 6 3+2+0+0
4ФЕИТ05З017  Electronics 6 2+2+1+0
Elective course 1 6
Elective course 1
Code Title ECTS No of classes per week
4ФЕИТ06З004 Energy and Sustainable Development 6 3+2+0+0
4ФЕИТ08З005 Engineering Mechanics 6 3+2+0+0
4ФЕИТ02З022 Technical Standards and Regulative 6 3+1+1+0

Semester 4
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ05Л014 Electromagnetics 6 3+2+0+0
4ФЕИТ02Л009 Electromechanical Energy Conversion 6 3+2+0+0
4ФЕИТ08Л010  Mathematics 4 6 3+3+0+0
4ФЕИТ01Л019 Control Systems 6 2+2+1+0
Elective course 1 6
Elective course 1
Code Title ECTS No of classes per week
4ФЕИТ06Л001 Introduction to Microcontrollers and Industrial Applications 6 3+0+2+0
4ФЕИТ02Л013 Engineering Software Tools 6 3+0+2+0
4ФЕИТ05Л036 Electric Circuit Theory 6 3+2+0+0

Semester 5
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ02З005 Electric Generators and Transformers 6 3+1+1+0
4ФЕИТ02З011 Power Converters 6 3+1+1+0
4ФЕИТ02З018 Fundamentals of Renewable Energy Sourses 6 3+1+1+0
4ФЕИТ09З018 Transmission and Distribution Power Systems 6 3+2+0+0
4ФЕИТ10З014 Communication Technologies and Protocols in Power Engineering 6 3+1+1+0

 

During studying, the student may choose up to 4 courses from the faculty list of electives

Semester 6
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ02Л007 Electric Motors 6 3+1+1+0
4ФЕИТ03Л005 Power Systems Measurements 6 3+1+1+0
4ФЕИТ04Л004 Power Plants and Substation 6 3+2+0+0
4ФЕИТ02Л015 Grid Integration of Renewable Energy Sources 6 3+1+1+0
Elective course 1 6
Elective course 1
Code Title ECTS No of classes per week
4ФЕИТ06Л003 Electrothermal Conversion 6 3+1+1+0
4ФЕИТ09Л013 Low Voltage Electrical Installations and Lighting 6 2+2+1+0
4ФЕИТ04Л025 Photovoltaic Systems 6 3+1+1+0

 

During studying, the student may choose up to 4 courses from the faculty list of electives

Semester 7
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ02З010 Electric Drives 6 3+1+1+0
4ФЕИТ02З020 Design of RES Based Systems 6 3+1+1+0
Elective course 1 6
Elective course 2     6
Elective course 3 6
Elective course 1, 2 & 3
Code Title ECTS No of classes per week
4ФЕИТ02З002 Wind Generators and Wind Generator Systems 6 3+1+1+0
4ФЕИТ02З004 Dynamics and Modelling of Electrical Machines, Transformers and Apparatuses 6 3+1+1+0
4ФЕИТ02З012 Engineering Documentation 6 3+1+1+0
4ФЕИТ02З014 Small and Special Electrical Machines 6 3+0+2+0
4ФЕИТ02З016 Low Voltage Apparatuses 6 3+1+1+0
4ФЕИТ02З017 Mechatronics Fundamentals 6 3+1+1+0
4ФЕИТ01З014 Programmable Logic Controllers 6 2+2+1+0
4ФЕИТ02З019 Design of Electric Machines and Transformers 6 3+2+0+0
4ФЕИТ02З021 Еnergy Storage Systems 6 3+1+1+0

 

During studying, the student may choose up to 4 courses from the faculty list of electives

Semester 8
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ02Л001 Automation of Electric Drives 6 3+1+1+0
4ФЕИТ12Л006 Final Thesis 9
4ФЕИТ12Л011 Internship 3
Elective course 1 6
Elective course 2 6
Elective course 1
Code Title ECTS No of classes per week
4ФЕИТ09Л005 Engineering Economics 6 3+2+0+0
4ФЕИТ04Л016 Entrepreneurship and business for engineers 6 3+2+0+0
4ФЕИТ09Л005 Project Management and Ethics in Engineering 6 3+2+0+0
4ФЕИТ09Л005 Technological Innovations 6 2+2+1+0
Elective course 2
Code Title ECTS No of classes per week
4ФЕИТ02Л003 Diagnosis, Testing and Protection of Electrical Machines 6 3+0+2+0
4ФЕИТ06Л002 Electric Vehicles 6 3+2+0+0
4ФЕИТ04Л022 Power System Protection 6 2+2+1+0

 

During studying, the student may choose up to 4 courses from the faculty list of electives

No. Code Title Semester No of classes per week ECTS Faculty
L E
1 4ФЕИТ05З011 Digital Signal Processing V 3 1+1 6 FEIT
2 4ФЕИТ08З003 Discrete Mathematics V 3 3+0 6 FEIT
3 4ФЕИТ08З004 Electrooptics V 2 2+1 6 FEIT
4 4ФЕИТ04З005 Energy Efficiency and Environment V 3 2+0 6 FEIT
5 4ФЕИТ09З012 Overhead Lines and Cables V 3 2+0 6 FEIT
6 4ФЕИТ07З013 Operating Systems V 2 2+1 6 FEIT
7 4ФЕИТ12З009 Introduction to WEB programming V 2 2+1 6 FEIT
8 4ФЕИТ08З013 Statistical Data Analysis V 3 1+1 6 FEIT
9 4ФЕИТ12Л001 WEB Applications VI 2 2+1 6 FEIT
10 4ФЕИТ03Л001 Virtual Instrumentation in LabVIEW VI 2 2+1 6 FEIT
11 4ФЕИТ09Л009 Smart Grids VI 3 2+0 6 FEIT
12 4ФЕИТ01Л005 Inteligent Control Systems VI 2 2+1 6 FEIT
13 4ФЕИТ08Л006 Computer-supported Geometric Modeling VI 3 2+1 6 FEIT
14 4ФЕИТ01Л006 Computer Process Control VI 2 2+1 6 FEIT
15 4ФЕИТ08Л011 Numerical Methods VI 3 0+2 6 FEIT
16 4ФЕИТ07Л016 Data Science and Data Analysis VI 2 2+1 6 FEIT
17 4ФЕИТ01Л017 Robotics 1 VI 2 2+1 6 FEIT
18 4ФЕИТ05З001 VLSI Design with PLD and FPGA Components VII 3 1+1 6 FEIT
19 4ФЕИТ05З007 Embedded Systems VII 3 1+1 6 FEIT
20 4ФЕИТ08З002 Introduction to nanomaterials and nanotechnologies VII 2 2+1 6 FEIT
21 4ФЕИТ10З005 Digital Currencies VII 3 1+1 6 FEIT
22 4ФЕИТ05З012 Digital Image Processing VII 3 1+1 6 FEIT
23 4ФЕИТ04З006 Grounding, professional risk and safety in power plants аnd substations VII 3 2+0 6 FEIT
24 4ФЕИТ01З007 Machine Learning VII 2 2+1 6 FEIT
25 4ФЕИТ01З011 Operations Research VII 2 2+1 6 FEIT
26 4ФЕИТ08З012 Fundamentals of Convex Optimization with Applications VII 3 2+0 6 FEIT
27 4ФЕИТ10З030 Network Forensics VII 3 1+1 6 FEIT
28 4ФЕИТ05Л023 Machine Vision VIII 3 1+1 6 FEIT
29 4ФЕИТ05Л005 Biomedical Electronics VIII 3 1+1 6 FEIT
30 4ФЕИТ03Л010 Measurement Systems and Data Acquision VIII 3 1+1 6 FEIT