Academically oriented

Full-time study

3 years

Ing. Miroslav Jirgl, Ph.D.

Chairman :
Ing. Miroslav Jirgl, Ph.D.
Councillor internal :
doc. Ing. Petr Beneš, Ph.D.
doc. Ing. Petr Blaha, Ph.D.
doc. Ing. Petr Fiedler, Ph.D.
Ing. Soňa Šedivá, Ph.D.
Councillor external :
Ing. Milan Findura, Ph.D.
Ing. Tomáš Neužil, Ph.D.

The study program Automation and Measurement Technology offers a university study in the field of electrical engineering and cybernetics with a closer focus on the issues of automation and instrumentation in the field of industry, transport and other sectors. The aim is to acquaint students
- with the basic principles and methods of higher mathematics, electrical engineering and circuit theory, selected parts of classical and quantum physics, with the laws of mechanics, electricity and magnetism, with the basics of working with electrical measuring instruments,
- with the basic concepts of signal and system theory, both continuous and discrete time,
- with the syntax and semantics of the hardware description language,
- with basic computer data storage methods, binary operations, basic principles of Von Neumann computer operation and with basics of C programming,
- the principles of operation of microprocessor systems, subsystems of microcontrollers and the basics of creating software for embedded systems,
- with methods of compiling and simulating abstract models for various physical and other real systems,
- with the basics of modern methods and methods of measuring physical quantities, including the importance of sensors and measurement of physical (technological) quantities in technical and non-technical fields,
- with methods of analysis of behavior of nonlinear dynamical systems, design and practical implementation of controllers for control of nonlinear systems.
- basic terminology in the field of artificial intelligence (machine learning, problem solving, knowledge representation, knowledge systems, computer vision and artificial neural networks),
- with the properties of logic systems and their design, construction, testing and practical use,
- with the basic concepts of signal processing, sampling and reconstruction theory and digital filters with a focus on the later extension to multidimensional, especially video signals,
- with discrete images, specifically with geometric and luminance transformation, integral transformation, with gradient operators, with methods of mathematical morphology and with a basic insight into image segmentation, description and classification,
- with the properties of automation means (sensors and actuators as well as control members, means of visualization and operator control).
The aim is also to enable students to practically create mobile robotic systems and master the most important areas of robotics - mechanical design, electronics development and programming.
A partial goal is also the preparation of students for follow-up master's studies.

Graduates of the study program Automation and Measurement Technology will acquire theoretical foundations and professional knowledge in the field of mathematics, physics, electrical engineering, measurement, applied informatics, digital technology. Gain basic knowledge for the description, analysis and design of combinational and sequential logic networks in digital systems, theoretical knowledge and practical skills in sensors and methods of measuring the most frequent non-electrical quantities, including design concept of measurement, processing and evaluation of results.
The graduate will be able
- describe the properties of electrical circuit elements and their models and apply basic circuit laws in the analysis of linear and nonlinear electrical circuits, analyze linear electrical circuits in harmonic steady state, describe wave propagation on the transmission line in steady state and transient, explain the behavior of RLC resonant circuits , apply the Laplace transform in solving transients in linear circuits,
- comprehensively solve problems using modern programming techniques,
- explain the difference between microprocessor, microcontroller, signal processor and signal controller, explain the mechanism of segmentation, paging, swapping and memory virtualization,
- divide and describe automation means according to function in automation system, divide elements of process and control instrumentation and describe their properties, describe structure of servomechanisms, stepper motors and other selected drives, divide and characterize basic pneumatic and hydraulic drives and systems, describe basic elements for control buildings
- apply measuring and control systems,
- explain the theory of signal sampling and reconstruction for one-dimensional and multidimensional signals (especially video signals),
- apply basic transformations to discrete images in order to segment, describe and classify the image,
- explain the concept of artificial intelligence from the point of view of its application in technical devices, explain the architecture and functionality of knowledge systems, create a knowledge base for the expert system NPS32,
- explain paradigms of selected artificial neural networks (perceptron, multilayer neural network with backpropagation learning, convolutional neural network).
The graduate will be able to process the measured data, including their evaluation, make qualified conclusions about a specific measurement, use electrical measuring instruments, design and implement the measurement of electrical quantities. He will be able to
- create software for a simple embedded system in assembler and C language,
- systematically compile abstract models of mechanical, electromechanical and other systems, perform their simulation and basic analysis using the universal software MATLAB-Simulink,
- standardize models for use on microprocessors, linearize models of nonlinear systems, compile basic models of discrete event systems,
- practically work with selected elements of process and control instrumentation, including basic types of drives,
- design, use, adjust and maintain systems of applied informatics, especially in industrial technologies,
- choose areas of application of expert systems and apply the processing of optical information by means of artificial intelligence,
- analyze more complicated control systems designed primarily for the control of nonlinear systems, design control structures for nonlinear systems, verify the stability of nonlinear dynamic systems, design control of nonlinear systems using linearization,
- design basic control structures based on relay control and sliding mode,
- describe the principles of basic types of sensors, use the principles of methods of measuring mechanical quantities (position, speed, acceleration, force, torque), flow, temperature, radiation and procedures for processing measured data and their evaluation.

Graduates of the bachelor's program in Automation and Measurement Technology will find employment as operational technicians for measuring, control and automation systems and in all areas of application of digital technology in industry.
The graduate is able to solve practical tasks in the field of automation of technological processes, measurement of electrical and non-electrical quantities, applied informatics and artificial intelligence. It is used in the implementation, operation, adjustment and repair of the above systems.

Courses are evaluated according to ECTS credits. The credit expresses an approximate weekly student's workload for the course. Credits for a given course are obtained after the prescribed completion, i.e. after awarding a credit, classified credit, or by passing an exam under the conditions of the BUT Rules of Study and Examination, the internal standard of the Rules for Organization of Studies at FEEC and the composition and content individually defined in each course.
In a three-year bachelor study, the student must earn at least 180 credits in the specified credit composition:
157 credits in compulsory courses,
5 credits for elaboration, submission and successful defense of bachelor thesis,
minimum of 14 credits in specified groups of compulsory elective (PV) courses,
at least 9 credits in elective courses.

Obligatory courses are usually completed by the student in semesters and years as stated in the curriculum. If a student fails to complete a compulsory course in the prescribed manner, he / she must register it again in the following year of his / her studies.
Compulsory elective courses of profiling fundamentals (PVA) are field-oriented professional courses that profile the student into narrower areas of his / her interests.
Other compulsory (PVB) courses are other professional courses included in the offers of the departments of FEEC BUT. Their goal is to extend students' professional knowledge.
The student chooses to select PV courses in individual semesters so that at the end of his / her bachelor's degree he / she has at least the prescribed minimum of credits in each group of PV courses, while not obtaining the minimum number of credits in one group of PV courses cannot be compensated by exceeding the number of credits obtained in another group of PV courses.
During the study, students must complete two English courses (English for Bachelors, English for Electrical Engineering).
Elective courses extend the general knowledge of students. Courses are chosen by the student himself or herself from a full-faculty offer (FEEC departments) or from the other faculties of VUT (so-called free courses) and can pass them in any year or semester of bachelor study. Elective courses include Physical Education. If a student has not successfully completed an elective course, he / she may or may not write another academic year in the next academic year.
Students must obtain the corresponding electrotechnic qualification at the beginning of their study.

All lecture rooms at the FEEC BUT allow disabled access; students, however, must meet the medical standards to acquire the necessary electrotechnical qualifications. In laboratory classes and practicals, students are required to independently operate measuring instruments and related equipment without endangering human health or damaging property.

The graduates may continue in a master's study programme.