SUBJECTS TAUGHT AT THE DEPARTMENT

Bachelor`s degree

The name of the course (discipline)

Brief information about the course (discipline)

1.

Algorithms and Programming

The objective of the course (discipline) is to teach students the programming basics, software for microcontroller &microprocessors, making appropriate adjustments to software tools, setup, development, compiling and installation.

2.

Circuit Theory

This course is intended as a basic course of electrical engineering and cover the fundamentals of electric circuits. Students will learn linear and nonlinear DC circuits, AC circuits, and three phase circuits, circuit analysis techniques, first order and higher order transients, nonlinear circuits, magnetic circuits, electrostatic and electromagnetic fields.

3.

Electrical Engineering/Electronics

The objective of the course (discipline) is to introduce students of non-electrical engineering  a basic knowledge of electrical engineering, provide the necessary fundamentals training to ensure a basic understanding of electrical theory, terminology and application. The course includes information on DC & AC circuit theory, circuits, transformers, motors & generators, electrical test instruments and measuring devices.    

4.

Electric Machines and Electric Drive

The objectives of the course (discipline) are the study of the design of electrical machines and electric drives, the principles of operation, their assembly and connection, characteristics, principles of starting and stopping braking, drawing up control schemes, calculating the correct choice of their capacity and efficient use.

5.

Measurement and Instrumentation

This course is intended to electrical engineers and covers the theory and art of modern instrumentation and measurements (I&M). In this course students learn  Classification, Absolute and secondary instruments, indicating instruments, control, balancing and damping, constructional details, characteristics, errors in measurement, Ammeters, voltmeters: (DC/AC), Wattmeter, single phase and three phase wattmeter, compensation, Frequency Meters, Potential and current transformers, ratio and phase angle errors, phased diagram, testing and applications. Potentiometers, AC Potentiometer, DC/AC Bridges, Transducer: Strain Gauges, Thermistors, Thermocouples, Linear Variable Differential Transformer, Capacitive Transducers, Optical Transducer, Torque meters, inductive torque transducers, electric tachometers, photo-electric tachometers, Hall Effect Transducer, Sweep generation, vertical amplifiers, Multi-meter: Block diagram, principle of operation, Accuracy of measurement, Electronic Voltmeter: Transistor Voltmeter, Block diagram, principle of operation, various types of electronic voltmeter, Digital Frequency meter, Block diagram, principle of operation.

 

MAGISTRATURA 

The name of the course (discipline)

Brief information about the course (discipline)

1.

Object-Oriented Programming 

Course Description:   The course has been designed for MS students to introduce fundamental principles of algorithm design, algorithm structure and important components in study of algorithms and C++ programming. This course teaches programming in a high-level language. Topics include structured programming techniques, procedural and data abstraction, and an introduction to object-oriented programming. Students will learn the fundamentals of developing coherent, expressive programs.

Course objectives:      

  On successful completion of this course, students are expected to –

  • know principles of algorithm design and it’s structure;
  • understand basic concept of programming, including:
  • problem solving techniques
  • solution design (flow charts, PDL, etc.)
  • C++ control and data structures
  • code writing in C++
  • microcontrollers programming

2.

Electrical measurements of nonelectric quantities..

Course objectives: 

  • introduction to the methods of electrical measurements of nonelectrical quantities, their technical means, technical characteristics, modern smart sensors and the principles of their construction.
  • provide the graduate students with theoretical knowledge and practical skills on the methods and techniques of electric measurements of nonelectric quantities, to acquire the practical skills of using modern smart sensors and their software.

3.

 Microelectronic Circuits

Course objectives: 

  • introduction to the modern microelectronics elements, their physical processes, technology of element production, the design and operation of various microelectronic devices, their advanced design and operation;
  • provide graduate students with theoretical knowledge and practical skills on modern microelectronics elements and their physical processes, application of  modern electronic equipment in agricultural and water resources sectors.

4.

Digital Basics and Digital Systemsr

 Course objectives: 

This course aimed at teaching for MS students on Smart sensors and technology and BS students on Electrical Engineering and Automation Control Engineering specializations. The part I of the course introduces digital basics, number systems, logic gates, combinational logics, digital circuits. It starts with a discussion of combinational logic: logic gates, minimization techniques, arithmetic circuits, and modern logic devices such as field programmable logic gates. The part II of the course introduces to logic design and the basic building blocks used in digital systems, in particular microcontrollers and digital computers. The second part of the course deals with sequential circuits: flip-flops, synthesis of sequential circuits, and case studies, including counters, registers and random access memories, microcontroller architectures. Different representations including truth table, logic gate, timing diagram, switch representation, and state diagram will be discussed.

5.

Engineering Experiments and Experimental Statistics

Course objectives: 

This course designated for MS students on Smart sensors and technology and Smart measurement systems and instrumentation specializations. The main idea of the course is an introduction to many of the topics that an engineer needs to master in order to successfully design experiments and measurement systems. In addition to descriptions of common measurement systems, the course describes computerized data acquisition systems, common statistical techniques, experimental uncertainty analysis, and guidelines for planning and documenting experiments.

The design of an experimental or measurement system is inherently an interdisciplinary activity, For example, the instrumentation and control system of a process plant might require the skills of chemical engineers, mechanical engineers, electrical engineers, and computer engineers. The mostly topics presented in this course have been selected to prepare engineering students and practicing engineers of different disciplines to design experimental projects and measurement systems. 

6.  Sensor Materials and it’s application in Instrumentation

Course objectives: 

  • Introduction to application of sensor materials in instrumentation and measurement systems, their structure, physical properties and working principles.
  • Gain theoretical knowledge, practical skills, skills in practical use of types, features, structure, indicators of sensor materials of instrumentation.
7. Electrical and Electronic Circuit Modeling (SIMULINK)

Course objectives: 

  • Introduction to electrical and electronic modeling methods, gain practical skills of modeling of physical and electrical phenomena in modern software, including SIMULIK.
  • gain practical skills on mathematical modeling of electrical and electronic circuits, including SIMULIK, learning static and dynamic modes and determining optimal solutions for electrical and electronic circuits.
8. Adaptive Control of Electric Drives

Course objectives: 

The main goal of teaching is the preparation graduate students, who can design and operate modern systems of controlled electric drive for various operating modes, determined by the technological process. The main attention is paid to control systems that have the ability to adapt to various external factors affecting the operating mode, such as  self-adjusting, self-organizing, search and non-search, systems with signal (passive) adaptation and parametric (active) adaptation.

Upon completion of the course, students will be able to:

  • know basic principles and laws for constructing automated electric drive systems.
  • understand the basic points of Electric Drive theory.
  • find optimal solution for control Adaptive systems.

understand the role of feedback  signal superposition.