Telecommunication and Information Engineering – 2022

ObjectivesLearning outcomesIIIIIIIVVVIVIIVIIIElective Courses

Degree Program

Undergraduate study program, 4 years, 8 semesters, 240 ECTS credits

Level of qualification

Bachelor of Science in Electrical Engineering and Information Technologies, specialized in Telecommunications and Information Engineering

Profile

Telecommunications and Information Engineering

Occupational Profiles of Graduates

Graduate engineers from the study program Telecommunications and Information Engineering are prepared for modern and dynamic job positions in the ICT sector, both in the country and abroad. Their knowledge and skills in telecommunications technologies, network systems, telecom and Internet services, software tools and communication and information platforms enable successful inclusion in:

  • telecom, mobile and Internet operators
  • companies for the design, development and maintenance of telecommunications and network infrastructure
  • software and IT companies that develop digital and cloud services
  • industry for the production and integration of telecommunications equipment
  • companies related to cybersecurity, data processing and IoT solutions
  • any small, medium and large company or institution with its own network and that uses or provides digital services to citizens and businesses
  • research centers, technology parks and academic institutions around the world

The demand for engineers in this field is continuously high, following global trends in the development and application of current 5G and future 6G mobile networks, optical networks, Internet and web technologies, cloud platforms, cybersecurity, software-defined networks, automation, development and application of artificial intelligence in telecom/ICT, as well as for the digital transformation of all businesses, institutions and industries.

The Programme Learning Outcomes

The study program equips students with modern knowledge and practical skills across the entire spectrum of communication and information technologies. It provides knowledge in telecommunication systems, network technologies, programming, cloud solutions and cybersecurity, as well as competencies for analysis, design, implementation and optimization of complex communication and ICT / IT systems, networks and services.

More specifically, students on this study programme acquire competencies and abilities for:

  • Analysis, design and implementation of telecommunications systems and protocols, including digital communications, wireless systems, mobile networks and optical communications.
  • Understanding and application of modern network and system architectures, such as Internet technologies, 5G and future 6G mobile networks, satellite communication, IoT (Internet of Things) systems, software-defined networking, virtualization and container-based platforms.
  • Design, configuration and administration of wired, wireless and mobile networks, for Internet service, telephony, television, IoT services, as well as services for extended reality (XR).
  • Programming and development of software applications and operating systems for telecommunications, web services, mobile applications and server-side web environments.
  • Design and modeling of databases and information systems, application of Internet technologies and development of network-oriented services.
  • Use of cloud and edge computing systems, as well as distributed platforms for data processing, storage and analytics.
  • Analysis, simulation and optimization of communication systems using specialized simulation tools and software methods.
  • Application of the principles of cybersecurity, network and data protection, secure communications, network forensics and risk management.
  • Development and implementation of Internet of Things (IoT) systems, personal ad-hoc networks and smart devices.
  • Application of machine learning and artificial intelligence in telecommunications for optimization, prediction and support, as well as design of intelligent telecommunications and information systems.
  • Understanding of regulations, standards and industry trends in the telecom / ICT / digital sector and their application in the development, planning and integration of systems, networks and services.

International Accreditation

The undergraduate 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.
  • Demonstrates knowledge and understanding of research, development and application of knowledge in telecommunication and information engineering, as well as engineering design in industrial processes.
  • 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 telecommunication and information engineering.
Ability to assess
  • An ability to collect, to 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 collect, to analyze, evaluate and present information, ideas and concepts from relevant data in the field of telecommunication and information engineering.
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
4ФЕИТ11Л001 Practicum for Engineering Tools 3 1+0+2+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
4ФЕИТ05З017 Electronics  6 2+2+1+0
4ФЕИТ10З015 Switching and Routing 6 3+1+1+0
4ФЕИТ08З009 Mathematics 3 6 3+3+0+0
4ФЕИТ05З033 Signals and Systems 6 3+2+0+0
Elective course 1  6
Elective course 1
4ФЕИТ04З014 Fundamentals of Energetics 6 3+2+0+0
4ФЕИТ09З015 Power System Basics 6 3+2+0+0
4ФЕИТ03З007 Basic Measurement Technique 6 2+2+1+0

 

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

Semester 4
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ10Л011 Internet Technologies 6 3+1+1+0
4ФЕИТ08Л010 Mathematics 4 6 3+3+0+0
4ФЕИТ07Л009 Data Modeling and Database Systems 6 2+2+1+0
4ФЕИТ10Л020 Fundamentals of Telecommunications 6 3+1+1+0
4ФЕИТ01Л019 Control Systems 6 2+2+1+0

 

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

Semester 5
Mandatory courses
Code Title ECTS No of classes per week
4ФЕИТ10З006 Digital Communications 1 6 3+1+1+0
4ФЕИТ10З024 Design of Communications Services and Applications 6 3+1+1+0
4ФЕИТ10З027 Simulation Methods for Telecommunications 6 3+1+1+0
4ФЕИТ10З028 Communication Systems 6 3+1+1+0
4ФЕИТ10З029 Information Theory 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
4ФЕИТ10Л003 Wireless Communications 6 3+1+1+0
4ФЕИТ10Л007 Digital Communications 2 6 3+1+1+0
4ФЕИТ10Л012 Communication Networks 6 3+1+1+0
4ФЕИТ10Л017 Optical Networks 6 3+1+1+0
4ФЕИТ10Л022 Applied Operating Systems in Telecommunications 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
Elective course 1  6
Elective course 2 6
Elective course 3  6
Elective course 4  6
Elective course 5  6
Elective course 1, 2, 3, 4 & 5
4ФЕИТ12З002 WEB Services 6 2+2+1+0
4ФЕИТ12З003 Android Programming 6 2+2+1+0
4ФЕИТ10З001 Antennas for Wireless Communications 6 3+1+1+0
4ФЕИТ10З004 Wireless Networks and Mobile Systems 6 3+1+1+0
4ФЕИТ12З005 Virtualization and Container Systems 6 2+2+1+0
4ФЕИТ10З005 Digital Currencies 6 3+1+1+0
4ФЕИТ10З008 Design and Modeling of Telecommunication Networks 6 3+1+1+0
4ФЕИТ10З016 Machine Learning for Wireless Communications 6 3+1+1+0
4ФЕИТ12З008 Network Programming 6 2+2+1+0
4ФЕИТ12З009 Fundamentals of WEB programming 6 2+2+1+0
4ФЕИТ10З019 Introduction to Augmented Reality 6 3+1+1+0
4ФЕИТ10З021 Personal, Ad-hoc and IoT Networks 6 3+1+1+0
4ФЕИТ12З010 Development of Server-based WEB Applications 6 2+2+1+0
4ФЕИТ10З026 Secure Communications 6 3+1+1+0
4ФЕИТ10З030 Network Forensics 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
4ФЕИТ12Л006 Final Thesis 9
4ФЕИТ12Л011 Internship 3
Elective course 1 6
Elective course 2 6
Elective course 3 6
Elective course 1
Code Title ECTS No of classes per week
4ФЕИТ09Л005 Engineering Economics 6 3+2+0+0
4ФЕИТ10Л009 ICT Digital Markets, Standards and Regulation 6 3+1+1+0
4ФЕИТ04Л018 Project management and Ethics in Engineering  6 3+2+0+0
4ФЕИТ08Л014 Technological Innovations 6 2+2+1+0
Elective course 2 & 3
Code Title ECTS No of classes per week
4ФЕИТ12Л001 WEB Applications 6 2+2+1+0
4ФЕИТ12Л004 Applications for Mobile Devices 6 2+2+1+0
4ФЕИТ10Л002 Wireless IP Networks 6 3+1+1+0
4ФЕИТ12Л007 Mobile services with Android programming 6 2+2+1+0
4ФЕИТ10Л023 Radiocommunication Engineering 6 3+1+1+0
4ФЕИТ10Л025 Satelite Communications and Systems 6 3+1+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
1 4ФЕИТ06З004 Energy and Sustainable Dеvelopment III 3+2+0 6 FEIT
2 4ФЕИТ05З011 Digital Signal Processing V 3+1+1 6 FEIT
3 4ФЕИТ08З003 Discrete Mathematics V 3+3+0 6 FEIT
4 4ФЕИТ08З004 Electrooptics V 2+2+1 6 FEIT
5 4ФЕИТ04З005 Energy Efficiency and Environment V 3+2+0 6 FEIT
6 4ФЕИТ02З018 Fundamentals of Renewable Energy Sources V 3+1+1 6 FEIT
7 4ФЕИТ07З013 Operating Systems V 2+2+1 6 FEIT
8 4ФЕИТ09З012 Overhead Lines and Cables V 3+2+0 6 FEIT
9 4ФЕИТ08З013 Statistical Data Analysis V 3+1+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 4ФЕИТ10Л010 Industrial communication networks VI 3+1+1 6 FEIT
13 4ФЕИТ01Л005 Inteligent Control Systems VI 2+2+1 6 FEIT
14 4ФЕИТ04Л025 Photovoltaic Systems VI 3+1+1 6 FEIT
15 4ФЕИТ08Л006 Computer-supported Geometric Modeling VI 3+2+0 6 FEIT
16 4ФЕИТ01Л006 Computer Process Control VI 2+2+1 6 FEIT
17 4ФЕИТ08Л011 Numerical Methods VI 3+0+2 6 FEIT
18 4ФЕИТ07Л016 Data Science and Data Analysis VI 2+2+1 6 FEIT
19 4ФЕИТ01Л017 Robotics 1 VI 2+2+1 6 FEIT
20 4ФЕИТ05З001 VLSI Design with PLD and FPGA Components VII 3+1+1 6 FEIT
21 4ФЕИТ05З007 Embedded Systems VII 3+1+1 6 FEIT
22 4ФЕИТ03З004 Computerized Measurement Systems VII 2+2+1 6 FEIT
23 4ФЕИТ04З006 Grounding, Professional Risk and Safety in Power Plants аnd Substations VII 3+2+0 6 FEIT
24 4ФЕИТ08З002 Introduction to Nanomaterials and Nanotechnologies VII 2+2+1 6 FEIT
25 4ФЕИТ05З012 Digital Image Processing VII 3+1+1 6 FEIT
26 4ФЕИТ093007 Electrical Lighting VII 3+1+1 6 FEIT
27 4ФЕИТ02З014 Small and Special Electrical Machines VII 3+0+2 6 FEIT
28 4ФЕИТ01З011 Operations Research VII 2+2+1 6 FEIT
29 4ФЕИТ08З012 Fundamentals of Convex Optimization with Applications VII 3+2+0 6 FEIT
30 4ФЕИТ05Л023 Machine Vision VIII 3+1+1 6 FEIT
31 4ФЕИТ05Л005 Biomedical Electronics VIII 3+1+1 6 FEIT