Computer Hardware Engineering and Electronics – 2022

ObjectivesLearning outcomesIIIIIIIVVVIVIIVIIIElective Courses

Study Programme
Computer Hardware Engineering and Electronics

Degree Programme
First cycle degree programme

Level of qualification
Bachelor of Science in Electrical Engineering and Information Technologies, in Computer Hardware Engineering and Electronics

Occupational Profiles of Graduates
Engineers of this profile can build their career in companies that design complete solutions based on microprocessor systems (embedded systems for data acquisition, mobile devices, microcontrollers for control and automation in industry, communication equipment, etc.), and in every company that utilizes computers and other electronic equipment.

The Programme Learning Outcomes
The CHEE study programme represents optimal combination of electronics and computer engineering. Combination of knowledge and skills from these two disciplines is a base for creation of high quality engineers, capable of coping with the challenge called complete hardware-software solution. The knowledge in the field of architectures, algorithms and concepts of computer systems, which are offered by the computer hardware engineering, combined with knowledge from the field of electronics (analog design, VLSI design, PLD and FPGA components, microelectronics), will enable the engineer to design products fast, efficient and accurate. The students of this programme will have the opportunity through the elective courses to acquire knowledge in the field of digital signal processing, audio, image and video processing, multimedia systems, biomedical engineering, electromagnetics, electromagnetic waves, antennas and radio engineering.

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.
  • Demonstrates knowledge and understanding of research, development, and application of knowledge in computer hardware engineering and electronics, 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 given task.
  • An ability to understand, identify, analyze and solve problems related to computer hardware engineering and electronics.
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 collect, analyze, and to evaluate information, ideas and concepts from relevant data in the field of computer hardware engineering and electronics.
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 an 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
4ФЕИТ05З018 Electronics 1 6 3+1+1+0
4ФЕИТ05З022 Logic Design 6 3+1+1+0
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

 

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
4ФЕИТ05Л014 Electromagnetics 6 3+2+0+0
4ФЕИТ05Л019 Electronics 2 6 3+1+1+0
4ФЕИТ07Л005 Computer Architectures 6 2+2+1+0
4ФЕИТ08Л010 Mathematics 4 6 3+3+0+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
4ФЕИТ05З003 Analog Design 6 3+1+1+0
4ФЕИТ05З011 Digital Signal Processing 6 3+1+1+0
4ФЕИТ10З018 Introduction to Digital Communications 6 3+1+1+0
Elective course 1 6
Elective course 2 6
Elective course 1 & 2  
Code Title ECTS No of classes per week
4ФЕИТ05З013 Electroacoustics 6 3+1+1+0
4ФЕИТ05З016 Electromagnetic Waves and Antennas 6 3+1+1+0
4ФЕИТ05З021 Power Electronics 6 3+1+1+0
4ФЕИТ05З027 Modeling and Simulation in Electronics 6 3+1+1+0
4ФЕИТ07З013 Operating Systems 6 2+2+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
4ФЕИТ05Л008 Digital CMOS Design 6 3+1+1+0
4ФЕИТ05Л026 Microprocessor Electronics 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
4ФЕИТ05Л004 Antenna Theory 6 3+1+1+0
4ФЕИТ05Л010 Digital Audio Processing 6 3+1+1+0
4ФЕИТ05Л020 Electronic Instrumentation 6 3+0+2+0
4ФЕИТ01Л006 Computer Process Control 6 2+2+1+0
4ФЕИТ05Л024 Microelectronics and Microsystems 6 3+1+1+0
4ФЕИТ05Л034 Digital Signall Processing Systems 6 3+1+1+0
4ФЕИТ05Л025 Microcontrollers 6 3+0+2+0
4ФЕИТ05Л028 Optoelectronics 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
4ФЕИТ02З008 Electric Power Devices 6 3+1+1+0
Elective course 1 6
Elective course 2 6
Elective course 3 6
Elective course 4 6
Elective course 1, 2, 3 & 4
Code Title ECTS No of classes per week
4ФЕИТ05З001 VLSI Design with PLD and FPGA Components 6 3+1+1+0
4ФЕИТ05З006 Biomedical Engineering 6 3+1+1+0
4ФЕИТ05З007 Embedded systems 6 3+1+1+0
4ФЕИТ05З012 Digital Image Processing 6 3+1+1+0
4ФЕИТ05З015 Electromagnetic Compatibility 6 3+1+1+0
4ФЕИТ07З006 Computer Networks 6 2+2+1+0
4ФЕИТ07З012 Advanced Computer Architectures 6 2+2+1+0
4ФЕИТ05З030 Switch Mode Power Supplies 6 3+1+1+0
4ФЕИТ01З014 Programmable Logic Controllers 6 2+2+1+0
4ФЕИТ05З031 Radio Engineering and Microwave Electronics 6 3+1+1+0
4ФЕИТ05З032 Sensors, Conditioners and Acquisition Devices 6 3+0+2+0
4ФЕИТ05З035 Television and Video Processing 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
4ФЕИТ04Л016 Entrepreneurship and Business for Engineers 6 3+2+0+0
4ФЕИТ03Л008 Principles of Quality Management 6 3+2+0+0
4ФЕИТ04Л018 Project Management and Ethics in Engineering 6 3+2+0+0
Elective course 2 & 3
Code Title ECTS No of classes per week
4ФЕИТ05Л002 Automobile Electronics 6 3+1+1+0
4ФЕИТ07Л002 Security and Protection of Computer Communication Systems and Networks 6 2+2+1+0
4ФЕИТ05Л005 Biomedical Electronics 6 3+1+1+0
4ФЕИТ05Л023 Machine Vision 6 3+1+1+0
4ФЕИТ07Л009 Data Modeling and Database Systems 6 2+2+1+0
4ФЕИТ05Л029 Applied Design of Electronic Circuits 6 2+0+3+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 4ФЕИТ06З004 Energy and Sustainable Dеvelopment III 3 2+0 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 4ФЕИТ02З018 Fundamentals of Renewable Energy Sources V 3 1+1 6 FEIT
7 4ФЕИТ08З013 Statistical Data Analysis V 3 1+1 6 FEIT
8 4ФЕИТ07Л016 Data Science and Data Analysis VI 2 2+1 6 FEIT
9 4ФЕИТ10Л010 Industrial communication networks VI 3 1+1 6 FEIT
10 4ФЕИТ01Л005 Inteligent Control Systems VI 2 2+1 6 FEIT
11 4ФЕИТ08Л006 Computer-supported Geometric Modeling VI 3 2+1 6 FEIT
12 4ФЕИТ04Л025 Photovoltaic Systems VI 3 1+1 6 FEIT
13 4ФЕИТ08Л011 Numerical Methods VI 3 0+2 6 FEIT
14 4ФЕИТ01Л017 Robotics 1 VI 2 2+1 6 FEIT
15 4ФЕИТ09Л009 Smart Grids VI 3 2+0 6 FEIT
16 4ФЕИТ12Л001 WEB Applications VI 2 2+1 6 FEIT
17 4ФЕИТ04З006 Grounding, professional risk and safety in power plants аnd substations VII 3 2+0 6 FEIT
18 4ФЕИТ093007 Electrical Lighting VII 3 1+1 6 FEIT
19 4ФЕИТ12З010 Development of Server-based WEB Applications VII  2  2+1  6 FEIT
20 4ФЕИТ10З005 Digital Currencies VII 3 1+1 6 FEIT
21 4ФЕИТ08З002 Introduction to nanomaterials and nanotechnologies VII 2 2+1 6 FEIT
22 4ФЕИТ12З009 Introduction to WEB programming VII 2 2+1 6 FEIT
23 4ФЕИТ01З007 Machine Learning VII 2 2+1 6 FEIT
24 4ФЕИТ01З011 Operations Research VII 2 2+1 6 FEIT
25 4ФЕИТ02З014 Small and Special Electrical Machines VII 3 0+2 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