Automotive Engineering and Management
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DepartmentFaculty of Transport Engineering
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Program code6211EX058
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Field of studyEngineering
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QualificationMaster of Engineering Sciences
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Duration2
About
The program’s goal is to prepare and educate professionals in transport management and logistics, specifically individuals with a Master’s in Business Management. These graduates are expected to possess the capability to evaluate economic operations and events in transport management and logistics, analyze and present information effectively, plan and conduct scientific research within the field, competently assess research outcomes, and apply findings in practical scenarios. Furthermore, they should be able to make independent decisions related to managing transport and logistics processes, assume managerial roles in various business companies and state institutions, and demonstrate creative and critical reasoning skills. Graduates are also expected to maintain and further develop their professional competencies acquired at the university or scientific research institutions, and to pursue independent learning throughout their careers.
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What will I be able to do?
The study programme covers a wide range of disciplines that enables students to understand the essential aspects of logistics management. These in-depth studies include the following subjects: Warehouse and Inventory Management, Resource and Operation Management in Logistics; Transportation Services of International trade; Research Methods in Logistics and Transport; Economics of Transport Services; Transport Logistics; Reverse Logistics; Strategic Supply Chain Management (with course work); Supply Management; Quality Management Systems in Transport; Transport Policy and Innovations.
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What are my career opportunities?
The graduates, who acquired knowledge, comprehension and developed special skills, are successfully employed by transport, other enterprises, carry-out research and develop experimental projects, create and implement innovations and technologies, solve problems associated with transport system, work in the fields of traffic safety and environment protection. Also, the graduates are getting more possibilities to apply for jobs in state and municipal institutions related with transport and logistics activities – public transport, transport policy, transport system and its control. Graduates will be particularly relevant and welcomed in transport and logistics activities pertaining to East–West transport corridor.
Study subjects
1 Semester
obligatory
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TIMGM18166 9 credits
The Finite Elements Method
Module aim
To provide the profound knowledge about the theory of finite elements methods, types of finite elements and to develop skills to comprehend physical processes, their mathematical expression and to choose the appropriate methods and algorithms of solution. Additionally, to introduce the fundamental concepts of finite element modeling and enable the students to use a general-purpose finite element analysis software (ANSYS and SOLIDWORKS), to solve engineering problems.
Module description
The finite element method (FEM) is indispensable in modelling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. Types of finite elements, approximation functions and their characteristics, variational calculation, functional extremum is under a course learning. Course include main derivation methods of FEM equations; methods of introducing boundary conditions; methods of solving linear and non-linear systems of algebraic equations of high order and integrating the systems of differential equations. Solving the main mechanical problems by FEM: elasticity problems; non-stationary problems of elastic and viscous materials, problems of the stability of structures; thermal analyses problems; problems of hydrodynamics; electrodynamical problems and frequency problems is analysis by standard finite elements.
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TIMGM17164 9 credits
Optimization Theory and Methods in Engineering
Module aim
To teach students solve, formulate and apply optimization problems in engineering, evaluate the specific features of optimization problems and potential methods.
Module description
Formulation of optimization problems, criteria, obkective function and constraints formulation, optimaly conditions, methods of linear programming, examples of solutions. Non-linear programming methods, examples of solutions. Algorithm of genetics. Stochastic programming. Multicriteria optimization. LP search.
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TIAIM17100 6 credits
Theory of Reliability of Transport Machinery
Module aim
To introduce students to the main transport machinery reliability theory terms, to define the basic quality of the machine defining reliability indicators, examine the physical processes taking place in transport machinery units. Provide the most important mathematical statistical methods for the qualitative parameters of vehicle modeling and predict.
Module description
The most important vehicles theory of reliability terms and definitions. Physical machinery reliability basics, the vehicle unit processes analysis. Reliability indicators and forecasting. Statistical models (empirical and theoretical distributions), for transport machinery qualitative indicators, and their conclusion and practical application. Students must attend at least 60 percent of the exercises during the scheduled time.
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TIAIM17101 3 credits
Master Graduation Thesis 1
Module aim
To familiarize with the research work object, to formulate the scientific problem, the research aim and problem solving, to implement an analytical review, to prepare the research methodology.
Module description
The formulation of a problem, the discussion of research works, the formulation of the work contents in a postgraduate’s final work. The formulation of the research aim and solved problems, the choice of research methods and experimental equipment. Under the themes of a solved scientific problem, to gather scientific works and to implement their analysis. Having implemented the analysis of scientific works, to adjust the aims and objectives of scientific researches.
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TIMGM18169 3 credits
Research in Transport Engineering
Module aim
To learn how to apply scientific methods in the research.
Module description
During lectures students are introduced to the scientific methods, methods of decision-making, funding system and levels of technical preparation of research and experimental development. It contains information about the data collection and visualization techniques, design of experiment, statistical, AHP and other methods to scientific tools.
obligatory
-
TIMGM18166 9 credits
The Finite Elements Method
Module aim
To provide the profound knowledge about the theory of finite elements methods, types of finite elements and to develop skills to comprehend physical processes, their mathematical expression and to choose the appropriate methods and algorithms of solution. Additionally, to introduce the fundamental concepts of finite element modeling and enable the students to use a general-purpose finite element analysis software (ANSYS and SOLIDWORKS), to solve engineering problems.
Module description
The finite element method (FEM) is indispensable in modelling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. Types of finite elements, approximation functions and their characteristics, variational calculation, functional extremum is under a course learning. Course include main derivation methods of FEM equations; methods of introducing boundary conditions; methods of solving linear and non-linear systems of algebraic equations of high order and integrating the systems of differential equations. Solving the main mechanical problems by FEM: elasticity problems; non-stationary problems of elastic and viscous materials, problems of the stability of structures; thermal analyses problems; problems of hydrodynamics; electrodynamical problems and frequency problems is analysis by standard finite elements.
-
TIMGM17164 9 credits
Optimization Theory and Methods in Engineering
Module aim
To teach students solve, formulate and apply optimization problems in engineering, evaluate the specific features of optimization problems and potential methods.
Module description
Formulation of optimization problems, criteria, obkective function and constraints formulation, optimaly conditions, methods of linear programming, examples of solutions. Non-linear programming methods, examples of solutions. Algorithm of genetics. Stochastic programming. Multicriteria optimization. LP search.
-
TIAIM17100 6 credits
Theory of Reliability of Transport Machinery
Module aim
To introduce students to the main transport machinery reliability theory terms, to define the basic quality of the machine defining reliability indicators, examine the physical processes taking place in transport machinery units. Provide the most important mathematical statistical methods for the qualitative parameters of vehicle modeling and predict.
Module description
The most important vehicles theory of reliability terms and definitions. Physical machinery reliability basics, the vehicle unit processes analysis. Reliability indicators and forecasting. Statistical models (empirical and theoretical distributions), for transport machinery qualitative indicators, and their conclusion and practical application. Students must attend at least 60 percent of the exercises during the scheduled time.
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TIMGM17071 3 credits
Master Graduation Thesis 1
Module aim
To familiarize with the research work object, to formulate the scientific problem, the research aim and problem solving, to implement an analytical review, to prepare the research methodology.
Module description
The formulation of a problem, the discussion of research works, the formulation of the work contents in a postgraduate’s final work. The formulation of the research aim and solved problems, the choice of research methods and experimental equipment. Under the themes of a solved scientific problem, to gather scientific works and to implement their analysis. Having implemented the analysis of scientific works, to adjust the aims and objectives of scientific researches.
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TIMGM18169 3 credits
Research in Transport Engineering
Module aim
To learn how to apply scientific methods in the research.
Module description
During lectures students are introduced to the scientific methods, methods of decision-making, funding system and levels of technical preparation of research and experimental development. It contains information about the data collection and visualization techniques, design of experiment, statistical, AHP and other methods to scientific tools.
obligatory
-
TIMGM17164 9 credits
Optimization Theory and Methods in Engineering
Module aim
To teach students solve, formulate and apply optimization problems in engineering, evaluate the specific features of optimization problems and potential methods.
Module description
Formulation of optimization problems, criteria, obkective function and constraints formulation, optimaly conditions, methods of linear programming, examples of solutions. Non-linear programming methods, examples of solutions. Algorithm of genetics. Stochastic programming. Multicriteria optimization. LP search.
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TILTM18153 9 credits
Organization Methods in Transport System
Module aim
To prepare transport engineering management specialists who are able to comprehensively apply transport system theories and methods in assessing transport system external and internal relations and logistics processes, know the specifics of transport system organization, learn to use mathematical models to form transport business logistics strategies based on sustainable development principles and based orientation to innovation and technological progress capable of making systematic, critical and constructive thinking decisions in the field of transport.
Module description
This course introduces the basic methods of transport system organization, functional and physical elements. Students will be able to apply their knowledge and understanding in formulating and analyzing transport and logistics tasks, choosing the right methods to solve them, know the aspects of transport system management, understand the links between technological solutions and economic consequences.
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TIAIM18301 6 credits
Road Users Psychophysiology
Module aim
Students familiar with professional psychology, touching road transport environment, specificity, impart knowledge about users of psychological skills role, problems and solutions. Also teach the acquired knowledge into practice. Develop the ability of users to assess the psychological knowledge in the field as one of the most important cars and road transport engineer professional success factors and to use them in solving issues of traffic safety.
Module description
The present theory of psychoanalysis, analytical and existential psychology. Analysis of traffic psychology participants place a modern transport engineering science system and its achievements in the country and abroad. The present users of psychological skills role in traffic safety system. The detailed analyzes of psychological diagnosis, psychological testing procedure. More analyzes road users psychophysiological research methodology, using special equipment. Addressing key psychological self-analysis and self-regulation. Students must attend at least 60 percent of the exercises during the scheduled time.
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TIMGM18169 3 credits
Research in Transport Engineering
Module aim
To learn how to apply scientific methods in the research.
Module description
During lectures students are introduced to the scientific methods, methods of decision-making, funding system and levels of technical preparation of research and experimental development. It contains information about the data collection and visualization techniques, design of experiment, statistical, AHP and other methods to scientific tools.
obligatory
-
TIMGM18166 9 credits
The Finite Elements Method
Module aim
To provide the profound knowledge about the theory of finite elements methods, types of finite elements and to develop skills to comprehend physical processes, their mathematical expression and to choose the appropriate methods and algorithms of solution. Additionally, to introduce the fundamental concepts of finite element modeling and enable the students to use a general-purpose finite element analysis software (ANSYS and SOLIDWORKS), to solve engineering problems.
Module description
The finite element method (FEM) is indispensable in modelling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. Types of finite elements, approximation functions and their characteristics, variational calculation, functional extremum is under a course learning. Course include main derivation methods of FEM equations; methods of introducing boundary conditions; methods of solving linear and non-linear systems of algebraic equations of high order and integrating the systems of differential equations. Solving the main mechanical problems by FEM: elasticity problems; non-stationary problems of elastic and viscous materials, problems of the stability of structures; thermal analyses problems; problems of hydrodynamics; electrodynamical problems and frequency problems is analysis by standard finite elements.
-
TIMGM17164 9 credits
Optimization Theory and Methods in Engineering
Module aim
To teach students solve, formulate and apply optimization problems in engineering, evaluate the specific features of optimization problems and potential methods.
Module description
Formulation of optimization problems, criteria, obkective function and constraints formulation, optimaly conditions, methods of linear programming, examples of solutions. Non-linear programming methods, examples of solutions. Algorithm of genetics. Stochastic programming. Multicriteria optimization. LP search.
-
TIAIM17100 6 credits
Theory of Reliability of Transport Machinery
Module aim
To introduce students to the main transport machinery reliability theory terms, to define the basic quality of the machine defining reliability indicators, examine the physical processes taking place in transport machinery units. Provide the most important mathematical statistical methods for the qualitative parameters of vehicle modeling and predict.
Module description
The most important vehicles theory of reliability terms and definitions. Physical machinery reliability basics, the vehicle unit processes analysis. Reliability indicators and forecasting. Statistical models (empirical and theoretical distributions), for transport machinery qualitative indicators, and their conclusion and practical application. Students must attend at least 60 percent of the exercises during the scheduled time.
-
TIMGM17167 3 credits
Master Graduation Thesis 1
Module aim
With the formulation of the research problem, research purpose and the solution of the problem and acquire innovative skills applicable to technological problems.
Module description
Postgraduate thesis formulation of the problem, the study work discussion, work volume formulation. Research objective and of the tasks the formulation, research techniques and exploratory equipment selection. According to a scientific problem addressed themes of collecting scientific work and perform their analysis. After scientific analysis of works to adjust the research aim and objectives.
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TIMGM18169 3 credits
Research in Transport Engineering
Module aim
To learn how to apply scientific methods in the research.
Module description
During lectures students are introduced to the scientific methods, methods of decision-making, funding system and levels of technical preparation of research and experimental development. It contains information about the data collection and visualization techniques, design of experiment, statistical, AHP and other methods to scientific tools.
obligatory
-
TILTM23011 9 credits
Marine Transport Ecosystem
Module aim
To provide theoretical knowledge and understanding of how the marine transport ecosystem works, what makes up its content, how it is created and what problems are solved.
Module description
The concept of the maritime transport system is defined, the place of the maritime transport system in the global logistics supply chain, its significance in the national and global economy, distinguishing the competitive advantage of maritime states, emphasizing the impact of the maritime transport system on the environment, the issue of Green logistics and the relevance of reverse logistics processes. The main elements of the system, the specificity of their activities, global trends and innovations, digitization, and marine energy perspectives are analyzed.
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TIMGM17164 9 credits
Optimization Theory and Methods in Engineering
Module aim
To teach students solve, formulate and apply optimization problems in engineering, evaluate the specific features of optimization problems and potential methods.
Module description
Formulation of optimization problems, criteria, obkective function and constraints formulation, optimaly conditions, methods of linear programming, examples of solutions. Non-linear programming methods, examples of solutions. Algorithm of genetics. Stochastic programming. Multicriteria optimization. LP search.
-
TIAIM17100 6 credits
Theory of Reliability of Transport Machinery
Module aim
To introduce students to the main transport machinery reliability theory terms, to define the basic quality of the machine defining reliability indicators, examine the physical processes taking place in transport machinery units. Provide the most important mathematical statistical methods for the qualitative parameters of vehicle modeling and predict.
Module description
The most important vehicles theory of reliability terms and definitions. Physical machinery reliability basics, the vehicle unit processes analysis. Reliability indicators and forecasting. Statistical models (empirical and theoretical distributions), for transport machinery qualitative indicators, and their conclusion and practical application. Students must attend at least 60 percent of the exercises during the scheduled time.
-
TIMGM18169 3 credits
Research in Transport Engineering
Module aim
To learn how to apply scientific methods in the research.
Module description
During lectures students are introduced to the scientific methods, methods of decision-making, funding system and levels of technical preparation of research and experimental development. It contains information about the data collection and visualization techniques, design of experiment, statistical, AHP and other methods to scientific tools.
one of the following
-
TIAIM17101 3 credits
Master Graduation Thesis 1
Module aim
To familiarize with the research work object, to formulate the scientific problem, the research aim and problem solving, to implement an analytical review, to prepare the research methodology.
Module description
The formulation of a problem, the discussion of research works, the formulation of the work contents in a postgraduate’s final work. The formulation of the research aim and solved problems, the choice of research methods and experimental equipment. Under the themes of a solved scientific problem, to gather scientific works and to implement their analysis. Having implemented the analysis of scientific works, to adjust the aims and objectives of scientific researches.
-
TIMGM17167 3 credits
Master Graduation Thesis 1
Module aim
With the formulation of the research problem, research purpose and the solution of the problem and acquire innovative skills applicable to technological problems.
Module description
Postgraduate thesis formulation of the problem, the study work discussion, work volume formulation. Research objective and of the tasks the formulation, research techniques and exploratory equipment selection. According to a scientific problem addressed themes of collecting scientific work and perform their analysis. After scientific analysis of works to adjust the research aim and objectives.
-
TIMGM17071 3 credits
Master Graduation Thesis 1
Module aim
To familiarize with the research work object, to formulate the scientific problem, the research aim and problem solving, to implement an analytical review, to prepare the research methodology.
Module description
The formulation of a problem, the discussion of research works, the formulation of the work contents in a postgraduate’s final work. The formulation of the research aim and solved problems, the choice of research methods and experimental equipment. Under the themes of a solved scientific problem, to gather scientific works and to implement their analysis. Having implemented the analysis of scientific works, to adjust the aims and objectives of scientific researches.
one of the following
-
TIMGM17167 3 credits
Master Graduation Thesis 1
Module aim
With the formulation of the research problem, research purpose and the solution of the problem and acquire innovative skills applicable to technological problems.
Module description
Postgraduate thesis formulation of the problem, the study work discussion, work volume formulation. Research objective and of the tasks the formulation, research techniques and exploratory equipment selection. According to a scientific problem addressed themes of collecting scientific work and perform their analysis. After scientific analysis of works to adjust the research aim and objectives.
-
TIAIM17101 3 credits
Master Graduation Thesis 1
Module aim
To familiarize with the research work object, to formulate the scientific problem, the research aim and problem solving, to implement an analytical review, to prepare the research methodology.
Module description
The formulation of a problem, the discussion of research works, the formulation of the work contents in a postgraduate’s final work. The formulation of the research aim and solved problems, the choice of research methods and experimental equipment. Under the themes of a solved scientific problem, to gather scientific works and to implement their analysis. Having implemented the analysis of scientific works, to adjust the aims and objectives of scientific researches.
2 Semester
obligatory
-
TIAIM17105 9 credits
Road Vehicle Safety (with course project)
Module aim
To acquaint students with the vehicle active and passive safety, define the basic vehicle safety determining measures, provide the theoretical basis for the design of individual systems on traffic safety.
Module description
The active and passive vehicle safety. Driver’s working place. Vehicle stability. Reliability of vehicle body construction. Modern transport traffic safety assurance systems. Students must attend at least 60 percent of the exercises during the scheduled time.
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TIMGM17168 6 credits
Optimization of the Control System of Transport Machines
Module aim
To develop skills of applying optimal control methods to optimizing the dynamic processes of transport machnines.
Module description
Optimization of transport machines’ (TM) control systems by using variational calculation. Euler’s equation. Balz problem. Optimization problems with Lagrange multipliers break points. Optimal control. Pontryagin maximum principle. Hamilton-Jacobi equation. Numerical methods of optimal control. Bellman principle. Optimization of vehicle construction, suspensijon, transmissions and structures loads. Optimization of TM suspensions, transmissions and structures.
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TIAIM17106 6 credits
Researches of Internal Combustion Engines
Module aim
Provide knowledge about determination possibilities of ICE efficient and ecological parameters during ICE experimental and numerical simulation researches. Analyze biofuel and alternative fuel characteristics, engine systems and mechanisms influence for ICE efficient and ecological parameters. Present main numerical analysis methods of ICE working process, which are designed for simulation and forecast purpose of qualitative ICE parameters.
Module description
Standards of internal combustion engines (ICE) and statistical processing of results. Fuel properties determination by experimental and numerical researches. Principles of ICE numerical model design and combustion process analysis in spark ignition and compression ignition engines. Analysis of efficient and ecological ICE parameters and prediction using numerical simulation. Students must attend at least 60 percent of the exercises during the scheduled time.
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TIAIM17107 3 credits
Master Graduation Thesis 2
Module aim
To provide special and modern knowledge of transport engineering study programme, to formulate special abilities which are necessary to implement scientific researches; to obtain project preparation-related skills employed to solve technological problems.
Module description
To prepare an analytical methodical part of a final work, to set the research aim and formulate the objectives, to set the research object and to define the objective function. Under to the results of an implemented review of scientific sources, to choose the research methods, to explicitly define the algorithm of work completion.
obligatory
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TIMGM17072 9 credits
Rail Vehicle Dynamics (with Course Project)
Module aim
To provide the newest specific knowledge of Rail vehicle dynamics; to form special skills of investigation and solving engineering problems required for investigation of rolling-stocks dynamic characteristics; to acquire the innovation capabilities to be applied for solving technological problems of rail vehicle dynamics.
Module description
Vehicle dynamics reveals the dynamic processes of trains’ movement, the interaction between the running vehicle chassis and rails, analysis the dynamics processes during vehicle overcome the track curves and switches, vehicle suspension dynamic characteristics, rail vehicle hunting (oscillation) processes on track, wheel-set creepage forces, the vehicle derailment conditions, vehicle noise and vibrations.
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TIMGM18273 6 credits
Machines and Technologies of Rail-track Construction
Module aim
To introduce the Master’s students with the construction of railways, their construction machinery and technologies, the properties of materials and machinery used, their selection and research methods.
Module description
Railway structures, their structural elements, materials used, their properties, production machinery and technologies. Machines and mechanisms for the construction and maintenance of railway structures, their work technologies, evaluation of parameters, selection, research.
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TIMGM17168 6 credits
Optimization of the Control System of Transport Machines
Module aim
To develop skills of applying optimal control methods to optimizing the dynamic processes of transport machnines.
Module description
Optimization of transport machines’ (TM) control systems by using variational calculation. Euler’s equation. Balz problem. Optimization problems with Lagrange multipliers break points. Optimal control. Pontryagin maximum principle. Hamilton-Jacobi equation. Numerical methods of optimal control. Bellman principle. Optimization of vehicle construction, suspensijon, transmissions and structures loads. Optimization of TM suspensions, transmissions and structures.
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TIMGM17074 3 credits
Master Graduation Thesis 2
Module aim
To provide special and modern knowledge of transport engineering study programme, to formulate special abilities which are necessary to implement scientific researches; to obtain project preparation-related skills employed to solve technological problems.
Module description
To prepare an analytical methodical part of a final work, to set the research aim and formulate the objectives, to set the research object and to define the objective function. Under to the results of an implemented review of scientific sources, to choose the research methods, to explicitly define the algorithm of work completion.
obligatory
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TILTM17152 9 credits
Transport Economics (with course work)
Module aim
To improve knowledge of master level students in the transport economics and it application for companies and infrastructure subjects economic evaluation, business analysis and development.
Module description
Transport economics includes such important questions, as mobility, transport and location; transport demand; direct transport cost; extra transport cost; pricing of transport service; transport planning and forecasting; transport and economic development and policy; competition of transport services; policy of pricing; programme of public services; international cooperation; analysis and development of business of transport company.
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TIMGM23002 6 credits
Development and Training of Leaders in Transport Sector
Module aim
To provide master’s students, as future leaders, with leadership knowledge and skills. To highlight the importance of leadership and its impact on the performance of organizations in the transport sector.
Module description
In the context of a constantly changing environment, transformations, globalization, the entry of the younger generation into the labor market, and hybrid work are creating new challenges for the effectiveness of management in the transport sector. The role of the manager and their development is particularly important. During the sessions, the concept of leadership in the transport sector, leadership theories, and the prerequisites for developing leaders are discussed. The qualities required of a modern manager and their role in team formation are evaluated. The course analyzes how to reveal employees’ best qualities and use them for the success of the organization, how to shape organizational culture, create motivation systems, and manage conflicts. Ethical and social responsibility aspects are examined. Theoretical knowledge is applied through practical tasks.
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TIMGM18214 6 credits
Traffic Flows
Module aim
Are to gain insight into theory and modeling of traffic flow operations, to learn to apply theory and mathematical models to solve practical problems.
Module description
This course discusses fundamental traffic flow characteristics and traffic flow variables and their definitions. Empirical relation between the flow variables and the bottleneck capacity analysis, shockwave analysis and a review of macroscopic and microscopic traffic flow models are presented. Traffic flow stability issues are discussed as well as numerical solution. An overview of human factors relevant for the behavior of drivers is explained. The car-following model and other approaches to describe the lateral driving task and gap acceptance in modeling and lane changing will be discussed. Microscopic models for pedestrian flow behavior are discussed also.
obligatory
-
TIAIM17105 9 credits
Road Vehicle Safety (with course project)
Module aim
To acquaint students with the vehicle active and passive safety, define the basic vehicle safety determining measures, provide the theoretical basis for the design of individual systems on traffic safety.
Module description
The active and passive vehicle safety. Driver’s working place. Vehicle stability. Reliability of vehicle body construction. Modern transport traffic safety assurance systems. Students must attend at least 60 percent of the exercises during the scheduled time.
-
TIMGM17168 6 credits
Optimization of the Control System of Transport Machines
Module aim
To develop skills of applying optimal control methods to optimizing the dynamic processes of transport machnines.
Module description
Optimization of transport machines’ (TM) control systems by using variational calculation. Euler’s equation. Balz problem. Optimization problems with Lagrange multipliers break points. Optimal control. Pontryagin maximum principle. Hamilton-Jacobi equation. Numerical methods of optimal control. Bellman principle. Optimization of vehicle construction, suspensijon, transmissions and structures loads. Optimization of TM suspensions, transmissions and structures.
-
TIAIM17106 6 credits
Researches of Internal Combustion Engines
Module aim
Provide knowledge about determination possibilities of ICE efficient and ecological parameters during ICE experimental and numerical simulation researches. Analyze biofuel and alternative fuel characteristics, engine systems and mechanisms influence for ICE efficient and ecological parameters. Present main numerical analysis methods of ICE working process, which are designed for simulation and forecast purpose of qualitative ICE parameters.
Module description
Standards of internal combustion engines (ICE) and statistical processing of results. Fuel properties determination by experimental and numerical researches. Principles of ICE numerical model design and combustion process analysis in spark ignition and compression ignition engines. Analysis of efficient and ecological ICE parameters and prediction using numerical simulation. Students must attend at least 60 percent of the exercises during the scheduled time.
-
TIMGM17170 3 credits
Master Graduation Thesis 2
Module aim
With the formulation of the research problem, research purpose and the solution of the problem and acquire innovative skills applicable to technological problems.
Module description
Postgraduate thesis formulation of the problem, the study work talk, work volume formulation. Research objective and the issues addressed in the formulation, research techniques and exploratory equipment selection. According to a scientific problem addressed themes of collecting scientific work and perform their analysis. After scientific analysis of works to adjust the research aim and objectives.
obligatory
-
TIMGM23001 9 credits
Maritime Transport Loading Technologies (with course project)
Module aim
To get acquainted with the technologies of various types of cargo loading processes, the organization of the work of loading complexes and the organization of the work of employees.
Module description
Formation of students’ knowledge in the field of transport technologies and organization of loading processes in maritime transport, organization of loading works, abilities to create technological processes of loading works, create technical documentation, monitor the condition of transport infrastructure objects.
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TIAIM23001 6 credits
Management of Engineering Systems of Marine Vessels
Module aim
To provide knowledge of the principles of operation and management of marine engineering systems (ballast water, fuel, electrical, propulsion, firefighting, cargo management, cargo handling, hydraulic and lubricating oil, sewage, oily waters, desalination and environmental management, etc.) in order to increase the efficiency of the systems and the sustainability of resources.
Module description
The subject “Management of engineering systems of marine vessels” provides students with knowledge of the principles of operation and management of marine engineering systems (ballast water, fuel, electrical installation, propulsion, firefighting, cargo management, cargo handling, hydraulic and lubricating oil, sewage, oily waters, desalination and environmental management, etc.) with a view to improving the efficiency of the systems and the sustainability of resources.
-
TIMGM17168 6 credits
Optimization of the Control System of Transport Machines
Module aim
To develop skills of applying optimal control methods to optimizing the dynamic processes of transport machnines.
Module description
Optimization of transport machines’ (TM) control systems by using variational calculation. Euler’s equation. Balz problem. Optimization problems with Lagrange multipliers break points. Optimal control. Pontryagin maximum principle. Hamilton-Jacobi equation. Numerical methods of optimal control. Bellman principle. Optimization of vehicle construction, suspensijon, transmissions and structures loads. Optimization of TM suspensions, transmissions and structures.
one of the following
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TILTM17153 6 credits
Management of the Logistics System Structural Units
Module aim
Provide theoretical knowledge about structural units of Logistics system, form understanding of structural unit management as well as skills, connected with applications of separate structural unit management methods.
Module description
Subject module is designed to provide theoretical knowledge about the Management of Logistics system structural units, implementation possibilities of requirements, applicable to Logistics system; activity formation of Logistics channels.
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TIMGM18275 6 credits
Queueing Systems in Transport
Module aim
Acquaint students with application of queuing theory in transport.
Module description
Subjects of queuing theory, objective and main notions. Time diagrams. Elements of graph theory. Scheduling theory. Waiting time, intensity of requirements, occupation timetable, service capacity. Classification of queuing systems. One-channel and multi-channel systems. Definition of theory requisitions flows and service time distributions. Puasonic and nonpuasonic systems of queuing theory.
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TIAIM18201 6 credits
Transport Traffic Organization and Control
Module aim
To introduce the most advanced traffic organization measures and research organization dealing with traffic issues. Develop the special skills required for the planning of traffic organization and management.
Module description
The road traffic organization is beeing analysed, means of improvement of road traffic safety are being pointed out. It is being acquainted with th scientific reasearch in the field. Students must able to analyse and to establish reason of road accsidents, to evaluate masures for the improvement of traffic safety, to calcolate the efficiency of evaluation. Students must attend at least 60 percent of the exercises during the scheduled time.
one of the following
-
TILTM17153 6 credits
Management of the Logistics System Structural Units
Module aim
Provide theoretical knowledge about structural units of Logistics system, form understanding of structural unit management as well as skills, connected with applications of separate structural unit management methods.
Module description
Subject module is designed to provide theoretical knowledge about the Management of Logistics system structural units, implementation possibilities of requirements, applicable to Logistics system; activity formation of Logistics channels.
-
TIMGM18275 6 credits
Queueing Systems in Transport
Module aim
Acquaint students with application of queuing theory in transport.
Module description
Subjects of queuing theory, objective and main notions. Time diagrams. Elements of graph theory. Scheduling theory. Waiting time, intensity of requirements, occupation timetable, service capacity. Classification of queuing systems. One-channel and multi-channel systems. Definition of theory requisitions flows and service time distributions. Puasonic and nonpuasonic systems of queuing theory.
-
TIAIM18201 6 credits
Transport Traffic Organization and Control
Module aim
To introduce the most advanced traffic organization measures and research organization dealing with traffic issues. Develop the special skills required for the planning of traffic organization and management.
Module description
The road traffic organization is beeing analysed, means of improvement of road traffic safety are being pointed out. It is being acquainted with th scientific reasearch in the field. Students must able to analyse and to establish reason of road accsidents, to evaluate masures for the improvement of traffic safety, to calcolate the efficiency of evaluation. Students must attend at least 60 percent of the exercises during the scheduled time.
one of the following
-
TILTM17153 6 credits
Management of the Logistics System Structural Units
Module aim
Provide theoretical knowledge about structural units of Logistics system, form understanding of structural unit management as well as skills, connected with applications of separate structural unit management methods.
Module description
Subject module is designed to provide theoretical knowledge about the Management of Logistics system structural units, implementation possibilities of requirements, applicable to Logistics system; activity formation of Logistics channels.
-
TIMGM18275 6 credits
Queueing Systems in Transport
Module aim
Acquaint students with application of queuing theory in transport.
Module description
Subjects of queuing theory, objective and main notions. Time diagrams. Elements of graph theory. Scheduling theory. Waiting time, intensity of requirements, occupation timetable, service capacity. Classification of queuing systems. One-channel and multi-channel systems. Definition of theory requisitions flows and service time distributions. Puasonic and nonpuasonic systems of queuing theory.
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TIAIM18201 6 credits
Transport Traffic Organization and Control
Module aim
To introduce the most advanced traffic organization measures and research organization dealing with traffic issues. Develop the special skills required for the planning of traffic organization and management.
Module description
The road traffic organization is beeing analysed, means of improvement of road traffic safety are being pointed out. It is being acquainted with th scientific reasearch in the field. Students must able to analyse and to establish reason of road accsidents, to evaluate masures for the improvement of traffic safety, to calcolate the efficiency of evaluation. Students must attend at least 60 percent of the exercises during the scheduled time.
one of the following
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TIAIM17107 3 credits
Master Graduation Thesis 2
Module aim
To provide special and modern knowledge of transport engineering study programme, to formulate special abilities which are necessary to implement scientific researches; to obtain project preparation-related skills employed to solve technological problems.
Module description
To prepare an analytical methodical part of a final work, to set the research aim and formulate the objectives, to set the research object and to define the objective function. Under to the results of an implemented review of scientific sources, to choose the research methods, to explicitly define the algorithm of work completion.
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TIMGM17170 3 credits
Master Graduation Thesis 2
Module aim
With the formulation of the research problem, research purpose and the solution of the problem and acquire innovative skills applicable to technological problems.
Module description
Postgraduate thesis formulation of the problem, the study work talk, work volume formulation. Research objective and the issues addressed in the formulation, research techniques and exploratory equipment selection. According to a scientific problem addressed themes of collecting scientific work and perform their analysis. After scientific analysis of works to adjust the research aim and objectives.
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TIMGM17074 3 credits
Master Graduation Thesis 2
Module aim
To provide special and modern knowledge of transport engineering study programme, to formulate special abilities which are necessary to implement scientific researches; to obtain project preparation-related skills employed to solve technological problems.
Module description
To prepare an analytical methodical part of a final work, to set the research aim and formulate the objectives, to set the research object and to define the objective function. Under to the results of an implemented review of scientific sources, to choose the research methods, to explicitly define the algorithm of work completion.
one of the following
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TILTM17153 6 credits
Management of the Logistics System Structural Units
Module aim
Provide theoretical knowledge about structural units of Logistics system, form understanding of structural unit management as well as skills, connected with applications of separate structural unit management methods.
Module description
Subject module is designed to provide theoretical knowledge about the Management of Logistics system structural units, implementation possibilities of requirements, applicable to Logistics system; activity formation of Logistics channels.
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TIMGM18275 6 credits
Queueing Systems in Transport
Module aim
Acquaint students with application of queuing theory in transport.
Module description
Subjects of queuing theory, objective and main notions. Time diagrams. Elements of graph theory. Scheduling theory. Waiting time, intensity of requirements, occupation timetable, service capacity. Classification of queuing systems. One-channel and multi-channel systems. Definition of theory requisitions flows and service time distributions. Puasonic and nonpuasonic systems of queuing theory.
-
TIAIM18201 6 credits
Transport Traffic Organization and Control
Module aim
To introduce the most advanced traffic organization measures and research organization dealing with traffic issues. Develop the special skills required for the planning of traffic organization and management.
Module description
The road traffic organization is beeing analysed, means of improvement of road traffic safety are being pointed out. It is being acquainted with th scientific reasearch in the field. Students must able to analyse and to establish reason of road accsidents, to evaluate masures for the improvement of traffic safety, to calcolate the efficiency of evaluation. Students must attend at least 60 percent of the exercises during the scheduled time.
one of the following
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TILTM17153 6 credits
Management of the Logistics System Structural Units
Module aim
Provide theoretical knowledge about structural units of Logistics system, form understanding of structural unit management as well as skills, connected with applications of separate structural unit management methods.
Module description
Subject module is designed to provide theoretical knowledge about the Management of Logistics system structural units, implementation possibilities of requirements, applicable to Logistics system; activity formation of Logistics channels.
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TIMGM18275 6 credits
Queueing Systems in Transport
Module aim
Acquaint students with application of queuing theory in transport.
Module description
Subjects of queuing theory, objective and main notions. Time diagrams. Elements of graph theory. Scheduling theory. Waiting time, intensity of requirements, occupation timetable, service capacity. Classification of queuing systems. One-channel and multi-channel systems. Definition of theory requisitions flows and service time distributions. Puasonic and nonpuasonic systems of queuing theory.
-
TIAIM18201 6 credits
Transport Traffic Organization and Control
Module aim
To introduce the most advanced traffic organization measures and research organization dealing with traffic issues. Develop the special skills required for the planning of traffic organization and management.
Module description
The road traffic organization is beeing analysed, means of improvement of road traffic safety are being pointed out. It is being acquainted with th scientific reasearch in the field. Students must able to analyse and to establish reason of road accsidents, to evaluate masures for the improvement of traffic safety, to calcolate the efficiency of evaluation. Students must attend at least 60 percent of the exercises during the scheduled time.
one of the following
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TIMGM17170 3 credits
Master Graduation Thesis 2
Module aim
With the formulation of the research problem, research purpose and the solution of the problem and acquire innovative skills applicable to technological problems.
Module description
Postgraduate thesis formulation of the problem, the study work talk, work volume formulation. Research objective and the issues addressed in the formulation, research techniques and exploratory equipment selection. According to a scientific problem addressed themes of collecting scientific work and perform their analysis. After scientific analysis of works to adjust the research aim and objectives.
-
TIAIM17107 3 credits
Master Graduation Thesis 2
Module aim
To provide special and modern knowledge of transport engineering study programme, to formulate special abilities which are necessary to implement scientific researches; to obtain project preparation-related skills employed to solve technological problems.
Module description
To prepare an analytical methodical part of a final work, to set the research aim and formulate the objectives, to set the research object and to define the objective function. Under to the results of an implemented review of scientific sources, to choose the research methods, to explicitly define the algorithm of work completion.
3 Semester
obligatory
-
TIAIM17111 9 credits
Expertise of Road Accidents (with course project)
Module aim
To give to students knowledge about investigation of a road accident, determination of mechanism of a rising of the road accident, vehicle speed and reasons of the accident.
Module description
Law basis of performance of the road accidents expertise. Evaluation of the speed of automobiles. Evaluation of the driver’s technical possibility to avoid road accident. Investigation of the different types of road accidents. Computer simulation of the road accidents. Investigation of the technical condition of vehicles by performance of the road accidents expertise. Students must attend at least 60 percent of the exercises during the scheduled time.
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TIAIM18301 6 credits
Road Users Psychophysiology
Module aim
Students familiar with professional psychology, touching road transport environment, specificity, impart knowledge about users of psychological skills role, problems and solutions. Also teach the acquired knowledge into practice. Develop the ability of users to assess the psychological knowledge in the field as one of the most important cars and road transport engineer professional success factors and to use them in solving issues of traffic safety.
Module description
The present theory of psychoanalysis, analytical and existential psychology. Analysis of traffic psychology participants place a modern transport engineering science system and its achievements in the country and abroad. The present users of psychological skills role in traffic safety system. The detailed analyzes of psychological diagnosis, psychological testing procedure. More analyzes road users psychophysiological research methodology, using special equipment. Addressing key psychological self-analysis and self-regulation. Students must attend at least 60 percent of the exercises during the scheduled time.
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TIMGM17173 6 credits
Modelling Transport Machines' System
Module aim
To teach how to understand and analyze the physical processes taking place in the transport machinery systems.
Module description
Transport machinery (TM) systems mathematical modeling of physical processes. Examined mechanical, hydraulic, pneumatic systems, their mathematical models. Hydraulic and pneumatic systems considered concentrated parameters and distributed parameters methods. Examined pressure waves in liquids and gases. Dealt with isothermal and non-isothermal hydrodynamic processes. Examined cross-media interaction. Transport machine systems to address both in time and frequency and scale.
Students must attend at least 60 percent of the practical exercises during the scheduled time. -
TIAIM17112 3 credits
Master Graduation Thesis 3
Module aim
To formulate special abilities necessary for planning of the analysis and experiment research, for preparing their aims, methodology, the implementation order and realization of them. To be able to use formed mathematical patterns for analysis research which are specified with experiments; to provide preliminary conclusions.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. Mathematical patterns of an analyzed research subject (system) are formed, developed, programmed and solved; Experimental equipment is chosen, adjusted, an experiment is planned, implemented, theoretical and experimental results are analyzed and compared, research results are discussed, preliminary conclusions are formulated.
obligatory
-
TIMGM17076 9 credits
Rail Vehicle Diagnostics (with Course Project)
Module aim
Acquaint students with objects of diagnostic types, parameters, diagnostic technical means, rising of rolling-stocks’ exploitation reliability by applying diagnostics means.
Module description
Subjects of the rolling-stock diagnostics: diesel engine and its systems, electric equipment, suspension, elements of pneumatic and hydraulic systems. All-round and partial diagnostics. Technical additional parameters of diagnostics. The structure of technical diagnostics systems. The means of technical diagnostics. Prognostication of the run. Improvement of the exploiting reliability of the rolling-stocks, using diagnostic means. Technical and additional parameters of diagnostics. The structure of technical diagnostics systems. The means of technical diagnostics.
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TIMGM17077 6 credits
Railway Transport Energetics
Module aim
To develop a complex awareness about the origin of energy, as well as the regularities of energy amounts and transformations.
Module description
Energy. Energy transformations. Energy sources and means of generation. Energy transformations, their laws. Energy transformation coefficient. Energy net cost. Sustainable energy use.
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TIMGM17173 6 credits
Modelling Transport Machines' System
Module aim
To teach how to understand and analyze the physical processes taking place in the transport machinery systems.
Module description
Transport machinery (TM) systems mathematical modeling of physical processes. Examined mechanical, hydraulic, pneumatic systems, their mathematical models. Hydraulic and pneumatic systems considered concentrated parameters and distributed parameters methods. Examined pressure waves in liquids and gases. Dealt with isothermal and non-isothermal hydrodynamic processes. Examined cross-media interaction. Transport machine systems to address both in time and frequency and scale.
Students must attend at least 60 percent of the practical exercises during the scheduled time. -
TIMGM17078 3 credits
Master Graduation Thesis 3
Module aim
To formulate special abilities necessary for planning of the analysis and experiment research, for preparing their aims, methodology, the implementation order and realization of them. To be able to use formed mathematical patterns for analysis research which are specified with experiments; to provide preliminary conclusions.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. Mathematical patterns of an analyzed research subject (system) are formed, developed, programmed and solved; Experimental equipment is chosen, adjusted, an experiment is planned, implemented, theoretical and experimental results are analyzed and compared, research results are discussed, preliminary conclusions are formulated.
obligatory
-
TIMGM18369 9 credits
Transport Element Interaction and Assessment Methods (with Course Project)
Module aim
To teach MSc students to analyse the processes associated with interaction between transport system’s elements and its parameters, and to make solutions, allowing for increasing a positive effect and decreasing a negative effect of this interaction on transportation development.
Module description
The classification model of transport system branches, its constitutive parts, levels of elements’ interaction, their parameters and methods of determination, the factors causing their changes and links as well as positive and negative effects and methods of elements’ interaction control are studied. The interaction between technological transport devices used in building, reconstruction, recycling and repair of transport roads and the affected medium, as well as the effect of technical and technological parameters on the result sought are analysed.
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TIMGM23003 6 credits
Project and Innovation Management
Module aim
The aim of the course is to develop theoretical and practical skills necessary to manage and smoothly complete engineering projects effectively, on time, qualitatively and within budget. It also introduces students to organizational innovations and projects management process and methodologies, with special emphasis on its life cycle. Upon successful completion of the course, students should be familiar with the tools used to plan, manage and implement projects. The course is intended for graduate students, future leaders, project managers.
Module description
The content of the study subject is based on a modern approach to project and innovation management processes in engineering companies and their improvement according to the strategic goals of organizations. The structure of the course is focused on the gradual development of participants’ knowledge and abilities, studying modern methodologies, best practices, scientific publications, performing individual and group tasks, presenting their results to the audience, discussing, and critically evaluating the work results of colleagues. Cases of project management and innovation implementation, process improvement, mistakes and lessons of specific engineering organizations are also analyzed.
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TILTM18154 6 credits
Transport Business Processes and Quality
Module aim
To provide students with knowledge and skills on transport business processes and its quality assurance.
Module description
Whilst studying the course, students will be able to familiarize themselves with the role of transport business in the supply chain; Students will know the importance of the procedural approach in business management; Students will be able to identify and design business processes by using business process modeling language; Students will be able to identify the quality ensuring elements, as well as to apply globally-recognized standards for transport business improvement.
obligatory
-
TIMGM18371 9 credits
Self Driving Vehicles (with course project)
Module aim
To provide comprehensive knowledge about autonomous vehicles: from their potential advantages and disadvantages and their interaction with society to their technological architecture and the control methods applied.
Module description
The module consists of theoretical and practical parts. The theoretical part includes: 1) general information – providing an overview of autonomous vehicles and discussing a standardized classification system. It also examines the potential advantages and disadvantages of autonomous vehicles, as well as the importance of public perception and legal frameworks for integrating autonomous vehicles into the transport system; 2) engineering information – analysing the technological architecture of autonomous vehicles. Methods of mathematical modelling, trajectory planning, and control of autonomous vehicles are discussed. During the practical part of the module, a simplified autonomous vehicle control system is developed.
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TIMGM18374 6 credits
Predicting the Remaining Service Life of Transport Machines
Module aim
To acquaint MSc students with operational failures of technological transport equipment (TTE), their causes and detection methods and techniques. To analyse the causes of failures. To determine the methods of their elimination.
Module description
The prediction of residual service life of transport technological equipment (TTE), its goals and importance are presented. Operational failures of potentially dangerous devices (e.g. hoisting and pressure-based equipment, etc.), their causes, methods and ways of controlling, failure identification, equipment reconditioning and residual life prediction are considered. Methods of checking technological equipment when their service life is over are provided.
-
TIMGM17173 6 credits
Modelling Transport Machines' System
Module aim
To teach how to understand and analyze the physical processes taking place in the transport machinery systems.
Module description
Transport machinery (TM) systems mathematical modeling of physical processes. Examined mechanical, hydraulic, pneumatic systems, their mathematical models. Hydraulic and pneumatic systems considered concentrated parameters and distributed parameters methods. Examined pressure waves in liquids and gases. Dealt with isothermal and non-isothermal hydrodynamic processes. Examined cross-media interaction. Transport machine systems to address both in time and frequency and scale.
Students must attend at least 60 percent of the practical exercises during the scheduled time. -
TIMGM17176 3 credits
Master Graduation Thesis 3
Module aim
Postgraduate thesis addresses the problem of scientific challenges, from theoretical and experimental investigations. In the present study the object (system) Mathematical models, improvement of programming and solving; exploratory equipment selection, coordination, experimentation, planning, experimentation, the use of theoretical and experimental results of the analysis and comparison of research results discussion.
Module description
Postgraduate thesis addresses the problem of scientific challenges, from theoretical and experimental investigations. In the present study the object (system) Mathematical models, improvement of programming and solving; exploratory equipment selection, coordination, experimentation, planning, experimentation, the use of theoretical and experimental results of the analysis and comparison of research results discussion.
obligatory
-
TILTM23033 9 credits
Economics of Sea Transport (with course project)
Module aim
To provide knowledge about the economy of sea transport companies and to develop the capacity to analyse and evaluate the economic efficiency, competitiveness and impact of transport companies’ activities on the national economy.
Module description
The theoretical and methodological principles of the economic assessment of maritime activities – the elements of the blue economy – ship, shipping and port – are analysed, the principles of the operation of the shipping market, the main indicators of the maritime economy, cost-effectiveness and competitiveness and the assessment of the impact on the national economy are analysed.
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TILTM23032 6 credits
Maritime Transport Logistics
Module aim
To provide students with knowledge and understanding of logistics and the peculiarities of its organization in maritime transport, material management functions, organization of transportation and interaction with ports and terminals, peculiarities of cargo transportation in maritime transport, information systems used in the organization of process work.
Module description
The module is designed to provide students with knowledge about the interaction of maritime transport and other modes of transport, intermodality, international sea routes and transport corridors, maritime and land port interfaces, the possibilities of applying IT tools in modeling logistic chains and applying various methods to assess the efficiency of these chains, sea port and liner shipping logistical connectivity.
-
TIMGM17173 6 credits
Modelling Transport Machines' System
Module aim
To teach how to understand and analyze the physical processes taking place in the transport machinery systems.
Module description
Transport machinery (TM) systems mathematical modeling of physical processes. Examined mechanical, hydraulic, pneumatic systems, their mathematical models. Hydraulic and pneumatic systems considered concentrated parameters and distributed parameters methods. Examined pressure waves in liquids and gases. Dealt with isothermal and non-isothermal hydrodynamic processes. Examined cross-media interaction. Transport machine systems to address both in time and frequency and scale.
Students must attend at least 60 percent of the practical exercises during the scheduled time.
one of the following
-
TIAIM17112 3 credits
Master Graduation Thesis 3
Module aim
To formulate special abilities necessary for planning of the analysis and experiment research, for preparing their aims, methodology, the implementation order and realization of them. To be able to use formed mathematical patterns for analysis research which are specified with experiments; to provide preliminary conclusions.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. Mathematical patterns of an analyzed research subject (system) are formed, developed, programmed and solved; Experimental equipment is chosen, adjusted, an experiment is planned, implemented, theoretical and experimental results are analyzed and compared, research results are discussed, preliminary conclusions are formulated.
-
TIMGM17176 3 credits
Master Graduation Thesis 3
Module aim
Postgraduate thesis addresses the problem of scientific challenges, from theoretical and experimental investigations. In the present study the object (system) Mathematical models, improvement of programming and solving; exploratory equipment selection, coordination, experimentation, planning, experimentation, the use of theoretical and experimental results of the analysis and comparison of research results discussion.
Module description
Postgraduate thesis addresses the problem of scientific challenges, from theoretical and experimental investigations. In the present study the object (system) Mathematical models, improvement of programming and solving; exploratory equipment selection, coordination, experimentation, planning, experimentation, the use of theoretical and experimental results of the analysis and comparison of research results discussion.
-
TIMGM17078 3 credits
Master Graduation Thesis 3
Module aim
To formulate special abilities necessary for planning of the analysis and experiment research, for preparing their aims, methodology, the implementation order and realization of them. To be able to use formed mathematical patterns for analysis research which are specified with experiments; to provide preliminary conclusions.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. Mathematical patterns of an analyzed research subject (system) are formed, developed, programmed and solved; Experimental equipment is chosen, adjusted, an experiment is planned, implemented, theoretical and experimental results are analyzed and compared, research results are discussed, preliminary conclusions are formulated.
one of the following
-
TIMGM17176 3 credits
Master Graduation Thesis 3
Module aim
Postgraduate thesis addresses the problem of scientific challenges, from theoretical and experimental investigations. In the present study the object (system) Mathematical models, improvement of programming and solving; exploratory equipment selection, coordination, experimentation, planning, experimentation, the use of theoretical and experimental results of the analysis and comparison of research results discussion.
Module description
Postgraduate thesis addresses the problem of scientific challenges, from theoretical and experimental investigations. In the present study the object (system) Mathematical models, improvement of programming and solving; exploratory equipment selection, coordination, experimentation, planning, experimentation, the use of theoretical and experimental results of the analysis and comparison of research results discussion.
-
TIAIM17112 3 credits
Master Graduation Thesis 3
Module aim
To formulate special abilities necessary for planning of the analysis and experiment research, for preparing their aims, methodology, the implementation order and realization of them. To be able to use formed mathematical patterns for analysis research which are specified with experiments; to provide preliminary conclusions.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. Mathematical patterns of an analyzed research subject (system) are formed, developed, programmed and solved; Experimental equipment is chosen, adjusted, an experiment is planned, implemented, theoretical and experimental results are analyzed and compared, research results are discussed, preliminary conclusions are formulated.
Free choice
Free choice
Free choice
Free choice
Free choice
4 Semester
obligatory
-
TIAIM17113 30 credits
Master Graduation Thesis
Module aim
To implement the theoretical and experiment researches of an analyzed subject (system), to summarize obtained results, summarize and present of a final work, to publicly defense it.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. An analyzed research system, mathematical patterns are developed, programmed and solved, experiment equipment is adjusted, an experiment is implemented, theoretical and experiment results are analyzed and compared, summarized conclusions are formulated, the final work is summarized, presented.
obligatory
-
TIMGM17079 30 credits
Master Graduation Thesis
Module aim
To implement the theoretical and experiment researches of an analyzed subject (system); to summarize obtained results, summarize and present of a final work, to publicly defense it.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. An analyzed research system, mathematical patterns are developed, programmed and solved; Experiment equipment is adjusted, an experiment is implemented, theoretical and experiment results are analyzed and compared, summarized conclusions are formulated, the final work is summarized, presented.
obligatory
-
TIMGM17177 30 credits
Master Graduation Thesis
Module aim
Carry out theoretical and experimental research of the object (system), variation of theoretical results with experimental results, prepare a description of the final work and presentation and publicity.
Module description
Solving the problems of the scientific problem solved in the master’s thesis by conducting theoretical and experimental research. Improvement, programming and solution of mathematical models of the research object (system); coordination of experimental equipment, performance of the experiment, analysis and comparison of theoretical and experimental results, formulation of generalized conclusions, preparation of the final work description, presentation.
one of the following
-
TIAIM17113 30 credits
Master Graduation Thesis
Module aim
To implement the theoretical and experiment researches of an analyzed subject (system), to summarize obtained results, summarize and present of a final work, to publicly defense it.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. An analyzed research system, mathematical patterns are developed, programmed and solved, experiment equipment is adjusted, an experiment is implemented, theoretical and experiment results are analyzed and compared, summarized conclusions are formulated, the final work is summarized, presented.
-
TIMGM17177 30 credits
Master Graduation Thesis
Module aim
Carry out theoretical and experimental research of the object (system), variation of theoretical results with experimental results, prepare a description of the final work and presentation and publicity.
Module description
Solving the problems of the scientific problem solved in the master’s thesis by conducting theoretical and experimental research. Improvement, programming and solution of mathematical models of the research object (system); coordination of experimental equipment, performance of the experiment, analysis and comparison of theoretical and experimental results, formulation of generalized conclusions, preparation of the final work description, presentation.
-
TIMGM17079 30 credits
Master Graduation Thesis
Module aim
To implement the theoretical and experiment researches of an analyzed subject (system); to summarize obtained results, summarize and present of a final work, to publicly defense it.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. An analyzed research system, mathematical patterns are developed, programmed and solved; Experiment equipment is adjusted, an experiment is implemented, theoretical and experiment results are analyzed and compared, summarized conclusions are formulated, the final work is summarized, presented.
one of the following
-
TIMGM17177 30 credits
Master Graduation Thesis
Module aim
Carry out theoretical and experimental research of the object (system), variation of theoretical results with experimental results, prepare a description of the final work and presentation and publicity.
Module description
Solving the problems of the scientific problem solved in the master’s thesis by conducting theoretical and experimental research. Improvement, programming and solution of mathematical models of the research object (system); coordination of experimental equipment, performance of the experiment, analysis and comparison of theoretical and experimental results, formulation of generalized conclusions, preparation of the final work description, presentation.
-
TIAIM17113 30 credits
Master Graduation Thesis
Module aim
To implement the theoretical and experiment researches of an analyzed subject (system), to summarize obtained results, summarize and present of a final work, to publicly defense it.
Module description
Implementing theoretical and experimental researches, scientific problems are solved in a postgraduate’s final work. An analyzed research system, mathematical patterns are developed, programmed and solved, experiment equipment is adjusted, an experiment is implemented, theoretical and experiment results are analyzed and compared, summarized conclusions are formulated, the final work is summarized, presented.
Statistics
| Metric | Value |
|---|---|
| Enrolled students | 23 |
| Enrolled to FT | 22 |
| Min FT grade | 7.83 |