Courses taught in English for 2026-2027 Autumn Semester

Annotation of Course

The course presents general information about the studies in university, written job preparation, searching for sources of information. Mechanical engineering study program and its specializations are introduced. Industrial systems, their design and manufacturing processes are analyzed, equipment and tools are introduced.

Aim of Course

To introduce Mechanical Egineering science, study programes and specializations.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 0
Consultations -2
Individual work -48
Part-time, distance learning studies:
Lectures -20
Practical works -0
Laboratory works – 0
Consultations -0
Individual work -60

Annotation of Course

In this course students are introduced with understanding and main definitions of mechatronics and robotics. There are revealed structure of mechatronic system, introduced with structural components. There are given description of operation of mechatronic and robotic systems, revealed various configuration. Main principles of programing and their implementation for system control presented in the course.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

Deliver general understanding of mechatronic and robotic systems and their place in general engineering. Transfer general knowledge about mentioned systems, reveal their structure, and analyze structural elements and their internal links within system. To bring knowledge about evaluation of general parameters of these systems and ways to recognize them in the integrated environment. Bring knowledge about control using general programing of devices, reveal possibilities and limitations. Present e

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 0
Consultations -2
Individual work -48
Part-time studies:
Lectures -6
Practical works -0
Laboratory works – 0
Consultations -4
Individual work -70

Annotation of Course

The subject points out the practical aspects of the design and development of the econometric models and interprepation their results: building a data base by using primary and secondary data, data analysis, building a model, basic regression analysis, forecasting, working with panel data, and interpretation of modelling results.

Aim of Course

Provide knowledge and enable students to conduct scientific researches by using econometric models.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -0
Practical works -30
Laboratory works – 0
Consultations -0
Individual work -130

Annotation of Course

Tech entrepreneurship course covers overview and analysis of business models’ concepts and components, business models’ analysis methodology, traditional Tech, digital Tech business models, Tech manufacturing business models, IoT and big data business models, circular economy business models and business models financing.

Aim of Course

The course shall provide knowledge and methodologies to design, develop and evaluate business models in different industrial contexts.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 0
Consultations -0
Individual work -115

Annotation of Course

Digital manufacturing course – theoretical part of it – covers introduction and objectives of the course, CIM definitions and description of main modules, CAD and CAD/CAM systems in CIM environment, IoT and IIOT devices, overview on process planning, Group Technology (GT) and clustering techniques for part family formation, the Computer Aided Process Planning (CAPP), variant CAPP systems, generative CAPP systems, expert CAPP systems, a CAD/CAM system – part modeling, development of plan process for milling operations and 3D printing. Lab works are focused on usage of CAD/CAM system and 3D Solid Modeling with Fusion 360, milling operations: facing, contouring, drilling and pocket machining, 3D Print: CAD file development, STL file production and Building Up. Participation in laboratory works in all scheduled exercises is mandatory.

Aim of Course

The main objective of the Digital Manufacturing course is to provide basic theoretical and practical knowledge of the tools, programs and planning steps which could be used for the digital modeling and manufacturing of products.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 15
Consultations -0
Individual work -115

Annotation of Course

The module provides information about modern computer numerical control (CNC) turning and machining centers, familiarizes with G and M codes, CNC programming methods and principles. Participation in practical works at least 60% of the scheduled exercises is mandatory.

Aim of Course

Teach students to program CNC machine tools using G and M code language.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -40
Practical works -20
Laboratory works – 0
Consultations -4
Individual work -96
Part-time, distance learning studies:
Lectures -22
Practical works -20
Laboratory works – 0
Consultations -0
Individual work -118

Annotation of Course

Classical liquid mechanics and sophisticated liquids. Navier -Stockes equations and their applications. Different mixtures of gas, liquid and solids, their stability and separation. Sophisticated mixture, found in nature and their overview. Measurement of sophisticated liquid parameters and corresponding equipment.

Aim of Course

Introducing students with complex, liquid-solid system flow.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -15
Laboratory works – 0
Consultations -15
Individual work -115

Annotation of Course

Tasks of experimental mechanics. Methods of measurements and analysis of different mechanical. Tensometry. Polarisation – optical method of stress research. Aplication of holography. Method of Muar strokes. Thermal elasticity. Methods of nondestructive check, experimental analysis of vibrations.

Aim of Course

To acknowledge with new methods and means of research of mechanical systems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -0
Laboratory works – 15
Consultations -15
Individual work -115

Annotation of Course

Diagnostics and monitoring of mechanical systems. Kinds of failure probability of their rise, detection technique. Failure elimination. Models and technique. Monitoring of environment protection and technological equipment mechanical systems.

Aim of Course

To acknowledge with new methods and means of technical diagnostics of mechanical systems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -15
Laboratory works – 0
Consultations -15
Individual work -115

Annotation of Course

The module studies the basics of scientific research and artificial intelligence solutions used for research. The basic concept, structure and objectives of research. The qualitative and quantitative research methods. The planning stages, planning validity, reliability and ethics of research. The main strategies of research. Theoretical and empirical research methods. Using artificial intelligence, machine learning, and deep learning for research.

Aim of Course

The course aims to provide students with knowledge of research methodology and techniques as well as abilities to make research using artificial intelligence and to predict how the research results could be used for innovation creation and implementation industry by solving engineering and managerial problems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -15
Laboratory works – 0
Consultations -0
Individual work -50

Annotation of Course

Sustainable development is the basis of the development of the state and society in the 21st century. It is based on three main elements – environmental protection, economicand and social well-being. Industrial activity; preventive and direct pollution reduction. Sustainable development strategy.

Aim of Course

Introduction to sustainably strategy and design of environmental protection in manufacturing activities

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 0
Consultations -0
Individual work -50

Annotation of Course

The Module provides knowledge about different non-destructive joining technologies used in industry. Different welding methods are analyzed: gas welding, consumable-electrode manual arc welding, gas-shielded arc welding (MIG, MAG, TIG), submerged arc welding, resistance welding and special welding methods (laser welding, electron-beam welding, plasma-arc welding, ultrasonic welding and other methods). Knowledge about metallic and non-metallic materials, soldering and brazing, bonding is provided. Different processes are presented as well as information on joints control. Participation in laboratory works in all scheduled exercises is mandatory.

Aim of Course

To provide knowledge about non-destructive joining technologies, their application possibilities, to familiarize with the processes and equipment.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -0
Laboratory works – 30
Consultations -4
Individual work -111
Part-time, distance learning studies:
Lectures -25
Practical works -0
Laboratory works – 22
Consultations -0
Individual work -113

Annotation of Course

The basis of structural materials and treatment processes is presented in the module. Materials science development, internal structure of materials, mechanical and physical properties testing, patterns of the formation of material structures, production of metal materials, alloy steels and non-ferrous metal alloys, heat treatment and thermochemical treatment of metal materials, composition and non-metallic materials, details and construction un its manufacturing and processing methods, materials joining process, destructive and non-destructive control of materials.

Aim of Course

To provide knowledge about materials used in the transport engineering, their processing, properties and application.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 15
Consultations -2
Individual work -33
Part-time studies:
Lectures -10
Practical works -0
Laboratory works – 6
Consultations -2
Individual work -62
Part-time, distance learning studies:
Lectures -10
Practical works -0
Laboratory works – 6
Consultations -2
Individual work -62

Annotation of Course

Methods of modelling. Analysis of mechatronic systems on basis of their modelling possibility. Modelling of components of mechatronic systems. Jointed mechatronic systems, influence of control. Synthesizing of new mechatronic systems with desired properties in case of modelling new systems.

Aim of Course

Introducing students with various methods of mechatronic system modelling.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -30
Laboratory works – 0
Consultations -15
Individual work -245

Annotation of Course

The module is about strategic approach application for the management of supply chain activities. Design and improvement of inbound and outbound sides of logistics. Aggregate planning for supply chain management. Inventory management. Managing demand variability and volatility, it’s forecasting. Supply chain coordination. The process of strategy development for international manufacturing. Offshoring, outsourcing, offshore outsourcing. Country’s selection process for international manufacturing. Countries’ comparison methods and process. The importance of the cultural differences perception for international manufacturing.

Aim of Course

The course aims to provide students with the knowledge and skills required for the management of industrial enterprises’ supply and distributional processes, and inventory management process as well as to assess opportunities for international manufacturing development.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -30
Laboratory works – 0
Consultations -0
Individual work -180

Annotation of Course

This module presents the key concepts and principles of improvement and innovation of manufacturing process. The models of innovation development of manufacturing process are analyzed. Students are introduced to the principles of TPS (Toyota production system), Lean, Theory of constraints, Six sigma and etc. Syllabus elements are: Continuous improvement process – Kaizen; Ideas generation and creativity stimulation for improvement and innovation of manufacturing process; Process of Value Stream Mapping; Process mapping by F. Gilbreth; Process of Flow charting; Kanban system; Just-in-time inventory strategy; 5S method; Types of wastes (muda) in Lean manufacturing; Takt time, Lead time in Lean manufacturing; SMED (Single Minute Exchange of Die) in manufacturing; Poka-yoke in manufacturing; Autonomation and Jidoka; Production leveling; Workcells in Lean manufacturing; Fixed Repeating Schedule; Gemba in Lean manufacturing; Genchi Genbutsu in Lean manufacturing. Participation in practical works at least 60% of the scheduled exercises is mandatory.

Aim of Course

The course aims to provide students with the knowledge and skills necessary for improvement and innovation development of manufacturing process.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -30
Laboratory works – 0
Consultations -0
Individual work -180

Annotation of Course

The module is about the methodological bases of science and innovations. The basic concept, structure and objectives of research. The qualitative and quantitative research methods. The planning stages, planning validity, reliability and ethics of research. The main strategies of research. Theoretical and empirical research methods. The importance of innovation and modern business trends. Innovation concept and classification. Regional innovation clusters, government policies for innovation. The role of creativity in innovation, creative process.

Aim of Course

The course aims to provide students with knowledge of research methodology and techniques as well as abilities to make research and to predict how the research results could be used for innovation creation and implementation industry by solving engineering and managerial problems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 0
Consultations -0
Individual work -50

Annotation of Course

The study course covers basics of microeconomics, overview of market power and the dominant companies, static and dynamic games, Cournot’ and Bertrand’ oligopolies, collusive strategies and dynamic models of oligopoly, product differentiation and price discrimination strategies, Stackelberg’ oligopoly, Dixit’ model, strategic analysis of barriers to entry, Fudenberg & Tirole framework, entry deterrence and accommodation strategies, quality and reputation strategies, Signal theory, advertising, R&D, exclusive, predatory and M&A strategies. EViews software is used for basic demand’ modeling steps.

Aim of Course

The goal of the module is to provide theoretical and practical knowledge in the field of industrial business organization and strategic management.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -23
Practical works -22
Laboratory works – 0
Consultations -0
Individual work -115

Annotation of Course

Rudiment of metrology and measurement theory. The principles of statistical measurement theory. Transformation of measurement signals. Measuring instruments and methods. Measurement of process parameters.

Aim of Course

To get acquainted with the theory and practice of measurements. General knowledge of the technologies required in mechanical engineering. knowledge of the laws of engineering mechanics, the principles of applied mechanics, designing of mechanisms, appliances, devices and apparatus, mathematical methods and laws applicable for description, analysis and designing of the objects of production in mechanical engineering; knowledge of automatic control as well as application of automation and software

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 15
Consultations -2
Individual work -33

Annotation of Course

In the course of Innovative Product Design, the main attention is paid to the implementation of created innovative product conception that is based on scientific research in the modern industrial environment. The process of innovative product design, methods of workability assurance and evaluation, PMBOK processes, CPM, PERT, planning models, application of the PRINCE2 method, practical use of the CAD/CAM/CAE in the innovative product prototypes producing are analysed in details.

Aim of Course

The course aims to learn how to research, analyse, create, improve and apply innovative products which design is based on results of scientific research.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -30
Laboratory works – 0
Consultations -0
Individual work -180

Annotation of Course

The materials selecting criteria and metallic materials grouping system studied in the module. Crystalline structure of materials and diffusion process. Real and deformed metal structure, recrystallization. Materials crystallization and alloys phase diagrams. The structure and phase transformations of Fe-C alloys. Carbon and alloyed structural steels. Corrosion and degradation of materials. Non-ferrous metals and its alloys. Thermal, thermochemical and thermo-mechanical treatment of metals.
Students are required to attend at least 50 percent of lectures (continuous studies stage I and integral studies I and II courses), at least 80 percent of laboratory work.

Aim of Course

To provide knowledge about the metal materials structure and formation processes, the selection and properties modify of steels and non-ferrous metals and its alloys, their thermal, thermochemical and thermo-mechanical treatment processes.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 15
Consultations -2
Individual work -33
Part-time studies:
Lectures -14
Practical works -0
Laboratory works – 6
Consultations -2
Individual work -58
Part-time, distance learning studies:
Lectures -20
Practical works -0
Laboratory works – 10
Consultations -0
Individual work -50

Annotation of Course

To get acquainted with methods of the design of base parts of machines and instruments, guides. To get acquainted with the programmed automation – the structure, constituent parts, control principles of CNC type machines. To get acquainted with the design principles of robots as a programmable equipment. To get acquainted with functional mechanisms of instruments.

Aim of Course

Knowledge about process of machines and instruments design: methods of design of base members, guides. Knowledge about programmable machines. Ability to design programmable equipment. Develop skills to apply this knowledge to the selection of the main components and assemblies of machines and instruments.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -40
Practical works -10
Laboratory works – 10
Consultations -4
Individual work -96
Part-time, distance learning studies:
Lectures -25
Practical works -10
Laboratory works – 10
Consultations -0
Individual work -115

Annotation of Course

The module provides information about processes which take place in metal cutting zone, about basic metal cutting tools, their types, design and geometrical parameters, about materials used for cutting part of metal cutting tools.

Aim of Course

To provide knowledge of processes which take place in metal cutting zone, conventional metal cutting methods, modern metal cutting tools, their design, geometry and materials.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 15
Consultations -2
Individual work -33
Part-time, distance learning studies:
Lectures -16
Practical works -0
Laboratory works – 8
Consultations -0
Individual work -56

Annotation of Course

Medical waste can pose a danger to both humans and the environment. Therefore, it is important to know the threats and the legal possibilities of protection against them, and to apply them in all activities related to medical waste. Solutions dictated by WHO and long-term waste management practices are implemented in real situations using the latest medical waste treatment methods and utilization technologies. The latest scientific research and the impact of modern technological solutions on waste reduction and environmental security strategies are discussed. Medical waste management algorithms are analyzed and situational analysis is performed.

Aim of Course

To introduce the concepts of medical waste, research areas, impact on health and the environment, as well as safe medical waste treatment methods and disposal technologies. Ability to analyze and interpret medical waste situations is provided, as well as to create specific waste management algorithms by selecting the most effective measures.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 0
Consultations -15
Individual work -180

Annotation of Course

Dynamics of biomechanical systems is an interdisciplinary course, the subject of which is human movement and its interrelationship with environmental objects and factors. Classical mechanics, mathematics, biomechanics and modeling knowledge are combined and applied to the analysis and research of human movement as a system. It is learned to carry out kinematic and dynamic analysis of movement using numerical methods, as well as to critically evaluate the obtained results and interpret them.

Aim of Course

To introduce the principles of modeling and dynamic analysis of biomechanical systems and to provide skills to apply them in movement research, as well as to be able to process the results and interpret them based on the acquired knowledge.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -45
Practical works -15
Laboratory works – 0
Consultations -15
Individual work -165

Annotation of Course

Introduction to the science of biotechnical systems and manufacturing. Historical facts, objectives of biotechnical systems, applications. Advanced methods of product forming, methods of processing plastic and composits, design and manufacturing casting forms. Modular system of molding forms. Advances in metal cutting. Application numerical control (NC) machine tools and industrial robots (IR). Application laser processing. Speedy and precision cutting. Economics of machining. Environmental protection. Students must attend at least 70 percent of the exercises during the scheduled time

Aim of Course

Provide knowledge about advancement in manufacturing technologies of molding, laser and plasma machining of biotechnical systems, theoretical background of manufacturing, integrating the knowledge of anatomy and mechanics, learn to apply these in collecting relevant information to technology of biotechnical systems, interpret it, analyze and solve practical problems in this field.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -15
Laboratory works – 0
Consultations -2
Individual work -48

Annotation of Course

Tissue engineering and regenerative medicine course introduces into regenerative medicine technics already applied in the clinical practice as well as with scientific and clinical research in the areas of cell therapy, tissue and organ engineering. Stem cell characteristics, sources and applications, scaffolds materials and production technologies and the challenges of creating tissues and organs are analyzed.

Aim of Course

Provide background on stem cell characteristics, scaffolds production, tissue and organ engineering.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 0
Consultations -0
Individual work -115

Annotation of Course

This course provides an in-depth understanding of the principles, theories, and practices of rehabilitation engineering. Rehabilitation engineering involves the application of engineering principles and technology to improve the quality of life and functional abilities of individuals with disabilities. The course covers topics such as assistive technology, human-machine interfaces, accessibility, and design for rehabilitation. Students will gain hands-on experience with analyzing scientific research related to rehabilitation engineering and technologies, as well as developing solutions to real-world problems faced by individuals with disabilities.

Aim of Course

To provide knowledge about latest rehabilitation methods and technologies applied to enhance motor, sensory, and cognitive deficits. To introduce the biomechanical modeling of human musculoskeletal system and its application in rehabilitation. To develop the ability to search for scientific information, analyze it and solve practical problems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 0
Consultations -15
Individual work -180

Annotation of Course

The course provides students with an introduction to control systems and their application using tools such as Matlab and Simulink. It covers topics such as feedback control, system stability, and different types of control systems, including open-loop and closed-loop systems. The student will be able to describe automatic control systems in both time and frequency domains using tools like differential equations, Laplace transform, transfer function, and frequency response. The course emphasizes the analysis and design of control systems, including techniques such as root locus, Bode plots, and Nyquist criteria, which can be implemented using Matlab and Simulink. Students are expected to work on practical projects and assignments, applying the concepts and techniques learned in class to real-world problems using Matlab and Simulink. Advanced topics such as state-space representation, optimal control, and adaptive control are also covered, with emphasis on their implementation using Matlab and Simulink. By the end of the course, students should have a solid understanding of the principles and techniques of automatic control and be able to apply them to a wide range of engineering problems.Students must attend at least 70 percents of practical and 70 percents of laboratory lectures at the sheduled times.

Aim of Course

Course aims to provide students with a comprehensive understanding of control systems and their application, with a focus on analysis, design, and implementation using tools such as Matlab and Simulink, in order to prepare them for careers in engineering and related fields.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 15
Consultations -4
Individual work -96
Part-time studies:
Lectures -8
Practical works -6
Laboratory works – 8
Consultations -10
Individual work -128
Part-time, distance learning studies:
Lectures -25
Practical works -10
Laboratory works – 10
Consultations -0
Individual work -115

Annotation of Course

Introduction to the biomechanics, historical facts, objects and objectives of biomechanics, applications. Biomechanical aspects of human movement, modeling of motion, concepts of degrees of freedom, anthropometry and determination of physical quantities of the human body. Kinematics and dynamics of the human motion, external and internal forces acting on the human body, methods of biomechanical analysis. Properties of biological materials, models of biomaterials. Biomechanics of bone, cartilage, muscle and joints. Biomechanics of healthy and disabled person. Students must attend at least 60% of exercises and lectures during the scheduled time. Students are required to complete all scheduled laboratory work.

Aim of Course

Provide theoretical background of biomechanics and, integrating the knowledge of anatomy and mechanics, learn to apply these for biomechanical analysis of human body movement, interpret it, analyze and solve practical problems of human movement.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 15
Consultations -4
Individual work -96

Annotation of Course

Human Physiology course examines the functions of body systems and their physiological mechanisms. Particular attention is paid to the analysis of mechanical properties of tissues and organs, the disability of body system and the role of biomechanics in restoring system functions. Students must attend at least 70 percent of the seminars.

Aim of Course

To study the functioning of human body systems with particular attention to the mechanical properties of tissues and organs, the causes causing disability and the role of biomechanics in restoring damaged functions.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 0
Consultations -2
Individual work -33

Annotation of Course

To introduce the principles of operation and application of industrial robots and intelligent automation systems

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Aim of Course

Main principles of operation, control and composition of robotic systems are examined. Robotic and intelligent automation systems are reviewed, and their mutual interaction is analysed.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -45
Practical works -30
Laboratory works – 15
Consultations -6
Individual work -144

Annotation of Course

Basic concepts of computer-aided design (CAD) applied to mechanical engineering design problems. Digital methods, computer graphics, geometric modelling, design optimization. Overview of Automated Design and Manufacturing Process Automation. Structure of automated design and production system; hardware and software. Automated design concept: three-dimensional (3D) model, virtual simulation, integrated design quality control. The relationship between automated manufacturing and the design process. Basics of automation of production processes. Development of engineering systems. Drawing of sketches, measuring tools, marking of materials in drawings. Assembly drawings and their drawing order. Rendering of drawings; design methods; images and their location in drawings; cuts; volumetric modelling according to axonometry and according to the given two views. Surface modelling. Designation of types of surface treatment in drawings.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

To familiarize with the use of modern 3D design systems to create the geometric shape of the designed products, to determine the structural parameters of the systems, to prepare for automated production; develop the ability to read and create engineering drawings using modern computerized design systems and drawing standards; learn how to create parametric models of parts and combinations of parts and generate drawings using the automated three-dimensional design system SolidWorks.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -30
Laboratory works – 30
Consultations -6
Individual work -144

Annotation of Course

The course covers various scanning methods, such as image, text, and biometric data scanning, and their application areas. Students will explore technologies such as Optical Character Recognition (OCR), facial recognition, fingerprint recognition, and other modern technologies used in scanning and recognition processes. Color analysis and recognition techniques are introduced as part of the comprehensive approach to scanned image processing. The course includes practical examples and analysis of real-world problems solved using scanning and recognition systems. Data processing, filtering, and accuracy assurance aspects will also be discussed. The course is focused on both theoretical and practical learning, preparing students to work in this rapidly evolving field. Students must participate in at least half of the theoretical lectures, at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

To introduce to the theoretical foundations and practical applications of scanning and recognition systems. The course aims to provide knowledge of various scanning methods, data processing algorithms, and object recognition technologies. It seeks to develop students’ abilities to design and implement automated systems for analyzing and interpreting information from scanned images or signals. In addition, the course covers color analysis and recognition methods essential for accurate image interpretation and reproduction. The course prepares students to apply these technologies across diverse fields, such as computer vision, biometric solutions, medical diagnostics, industrial automation, and more.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 15
Consultations -4
Individual work -96

Annotation of Course

Introduction to the history of AI software, statistical information on the use of AI, job places, types of AI, etc. They are discussed theoretically and analyzed in various aspects by directly connecting to AI software platforms created by the largest companies, such as “DNA platform”, “GoogleCloud ML”, “Azure ML”, “Cortana”, “Watson”, “Amazon AWS”, survey platforms, etc. Laboratory work related to the operation and development of different AI software and systems is performed: control, analysis, development, integration, testing.
Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Aim of Course

To reveal to students the main artificial intelligence software production companies, the operating principles of softwares and systems, the features of use and the necessary resources.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 30
Consultations -4
Individual work -96

Annotation of Course

This curriculum provides essential terms of programing language. There are steps of solution of programing task, development of algorithms. Provided steps in program development. Discussed stage of preprocessor, compiler and link editor. Students introduced with statements of programing language. Variables, arrays, loops, logic operations, pointers, functions, dynamic arrays, complex data, bit fields. Curriculum intended to describe and solve typical tasks, build simple programs, develop algorithms, and debug program code.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

Deliver general understanding of programing process and its place in general engineering. Transfer general knowledge about mentioned systems, task-solving methods, development of algorithms, and preparation of program source and design of software structure. Modulus develops abilities to prepare, compile and run own-build programs. Deliver knowledge about debugging process and program text clarification, runtime error analysis and debugging. Students will gain theoretical knowledge and practical skills in programing and using libraries in algorithms.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 0
Consultations -2
Individual work -33
Part-time studies:
Lectures -8
Practical works -0
Laboratory works – 8
Consultations -8
Individual work -56
Part-time, distance learning studies:
Lectures -16
Practical works -0
Laboratory works – 10
Consultations -0
Individual work -54

Annotation of Course

This comprehensive course on Applied Artificial Intelligence provides students with a deep understanding of the history, development, concepts, types, and practical applications of AI. It explores the influence of predecessors, such as automatic, mechatronic, and robotic systems, on the evolution of AI. The course delves into the various types of AI, including weak, general, and strong AI, and examines their applications across industries.
Students will gain insights into the applicability of AI through the study of tools, instruments, and techniques used in machine learning, natural language processing, computer vision, and robotics.
The course places a strong emphasis on legal and ethical considerations in the use of Applied AI. Students will critically analyze issues such as privacy, bias, accountability, and transparency in AI systems.
Moreover, the course provides an outlook on the future perspectives of Applied AI, including emerging trends, advancements, and potential interdisciplinary collaborations. Students will gain insights into the transformative impact of AI on various industries and society as a whole, while considering its integration with other emerging technologies.
By the end of the course, students will be equipped with the knowledge, skills, and ethical awareness necessary to apply AI techniques in practical settings. They will have a comprehensive understanding of AI’s historical context, current applications, and future possibilities, enabling them to navigate the rapidly evolving landscape of Applied AI responsibly and effectively.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Aim of Course

The goal of this course on Applied Artificial Intelligence is to provide students with a comprehensive understanding of the history, concepts, types, applications, and future perspectives of AI, with a specific focus on its practical implementation in various domains. By the end of the course, students should be able to apply AI techniques and tools to solve real-world problems, while also being mindful of legal and ethical considerations.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 0
Consultations -2
Individual work -48

Annotation of Course

This curriculum provides essential terms of programing language. There are steps of solution of programing task, development of algorithms. Provided steps in program development. Discussed stage of preprocessor, compiler and link editor. Students introduced with statements of programing language. Variables, arrays, loops, logic operations, pointers, functions, dynamic arrays, complex data, bit fields. Curriculum intended to describe and solve typical tasks, build simple programs, develop algorithms, and debug program code.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

Deliver general understanding of programing process and its place in general engineering. Transfer general knowledge about mentioned systems, task-solving methods, development of algorithms, and preparation of program source and design of software structure. Modulus develops abilities to prepare, compile and run own-build programs. Deliver knowledge about debugging process and program text clarification, runtime error analysis and debugging. Students will gain theoretical knowledge and practical skills in programing and using libraries in algorithms.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 45
Consultations -6
Individual work -159

Annotation of Course

Designation, standards and presentation of screws, nuts and washers in drawings; removable and non-removable joints; kinematic schemes, marking of their elements; rudiments and marking of dimensional tolerances and fits; simple dimensional chains.

Aim of Course

To acquaint students with the markings, standards, and presentation of dismountable and non-dismountable connection standard elements in drawings. Develop the ability to create a kinematic diagram, assembly drawing specification.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -30
Laboratory works – 0
Consultations -2
Individual work -33

Annotation of Course

Concepts of machine and mechanism. Structure of linkage mechanisms, their metric synthesis, graphical and grapho analytical kinematics. Classification of cam mechanisms, dimension calculation, the profile synthesis. Gear mechanisms, gear and their design. Machine dynamics. Flywheel design for the machine. Mechanisms balancing. 5 laboratory works. Course project. Exam.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

To teach understand the structure of mechanisms and machines, kinematic and dynamic processes in them, in preparing to studies of modern machinery and equipment.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -45
Practical works -45
Laboratory works – 15
Consultations -6
Individual work -129
Part-time studies:
Lectures -28
Practical works -10
Laboratory works – 10
Consultations -6
Individual work -186
Part-time, distance learning studies:
Lectures -30
Practical works -20
Laboratory works – 10
Consultations -0
Individual work -180

Annotation of Course

Overview of mechatronic systems, different their types. Properties of Different types of mechatronic systems. Synthesis of mechatronic systems using in their design different physical sources of power – electrical, hydraulic, pneumatic. Real operation of mechatronic systems – exciting and deflecting. Multiply degree of freedom in mechatronic systems. Nonlinearities in mechatronic systems. Modeling of simple mechatronic systems.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

Introducing students with different types of mechatronic systems. Joint of mechanic, electric and numeric control systems in mechatronics. Fundamentals of dynamics of mechatronic systems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -15
Practical works -15
Laboratory works – 0
Consultations -2
Individual work -48
Part-time studies:
Lectures -8
Practical works -6
Laboratory works – 0
Consultations -6
Individual work -60

Annotation of Course

According to the selected subject and specialization is developed the structure of the Final Work. The task of Final Work is prepared the special literature is studied, variability analysis of prototips is in process and analogs are analyzed.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

Formulation of the Final Work tasks and title.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -0
Practical works -10
Laboratory works – 0
Consultations -2
Individual work -68
Part-time studies:
Lectures -0
Practical works -8
Laboratory works – 0
Consultations -6
Individual work -66

Annotation of Course

There are presented overview of experimental research of mechatronic systems, defined methods of scientific research, introduced with experimental design. There are discussed modelling of experiment and simulation of mechatronic systems.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the scheduled time.

Aim of Course

To deliver fundamentals of modelling, experimental design and scientific research of mechatronic systems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -30
Laboratory works – 0
Consultations -0
Individual work -180

Annotation of Course

Overview of industrial robots. Structure and components of robotic systems. Controllers, actuators and sensors of industrial robotic systems. Control principles of industrial robots. Programming motion of industrial robots.

Aim of Course

To introduce the structure, design principles and main design stage calculations of industrial robots. To introduce sensors, drives and control systems of industrial robots. Present information about recent developments and trends in the development of robotics. To introduce the basic principles of design of industrial robots.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -15
Laboratory works – 15
Consultations -4
Individual work -96
Part-time studies:
Lectures -10
Practical works -8
Laboratory works – 8
Consultations -12
Individual work -122

Annotation of Course

Practical understanding of mechatronic systems. Control and design of different types of mechatronic systems. Synthesis of desired properties in mechatronic system design. Parameters of control of different types of mechatronic systems, dynamics of mechatronic system control. Design of real systems using digital modeling without solving differential equations analytically.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Aim of Course

Introducing students with different types of mechatronic systems. Joint of mechanic, electric and numeric control systems in mechatronics. Fundamentals of dynamics of mechatronic systems

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -0
Practical works -30
Laboratory works – 0
Consultations -4
Individual work -126
Part-time studies:
Lectures -0
Practical works -12
Laboratory works – 0
Consultations -6
Individual work -142

Annotation of Course

There are presented overview of mechanics of mechatronic and robotic systems, delivered their design features and prescribed their implementations. There are discussed structure of mechanics of mechatronic and robotic systems, delivered their dynamic characteristics and practical methods of their obtaining.

Students must participate in at least 75% of the exercises and complete at least 75% of the laboratory work in the
scheduled time.

Aim of Course

to deliver knowledge about mechanics of mechatronic and robotic systems.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -30
Laboratory works – 0
Consultations -0
Individual work -180

Annotation of Course

The basis of engineering materials and treatment processes is presented in the module. Materials science development, internal structure of materials, mechanical and physical properties testing, patterns of the formation of material structures, production of metal materials, alloy steels and non-ferrous metal alloys, heat treatment and thermochemical treatment of metal materials, composition and non-metallic materials, metal corrosion and protect, details and construction units manufacturing and processing methods, materials and components joining process, destructive and non-destructive control of materials.

Aim of Course

o provide knowledge about materials used in the aircraft manufacture, their processing, properties and application.

Distribution of course hours by study forms and ways

Full-time studies:
Lectures -30
Practical works -0
Laboratory works – 15
Consultations -2
Individual work -33