About Doctoral Studies

Module aim

To develop students' pedagogical competence, adapted to the individual educational practice, successful and modern planning, organizing and managing the study process.

Description

The subject reveals close connections between subject, scientific and educational competencies of a teacher. During lectures, seminars, and independent work, higher education didactics is analyzed, emphasizing student-centered studies, international and national higher education space, forms and methods of communication, methodologies in academic environment with different groups of society. The basis of studies consists of reflexive experiential learning, which helps to develop doctoral students' analytical and critical thinking, ability to evaluate their own and others' decisions, promotes a holistic and responsible approach to their activities.

Module aim

To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.

Description

Science philosophy. Prevention of plagiarism. Search for scientific information. Scientific information bases. How to write and publish a paper in a journal indexed in Web of Science. Modern software tools for research planning and scientific results publishing. Modern software tools for research planning and scientific results publishing Knowledge transfer, commercialization and patenting.

Module aim

To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.

Description

Science philosophy. Search for scientific information. How to write and publish a paper in a journal indexed in Web of Science. Big data and its analytics. Modern software tools for research planning and scientific results publishing. Quantitative methods for cross-sectional data analysis. Modern software tools for processing and vizualization of experiments results. Statistical processing of the research data and development of empirical models. Knowledge transfer, commercialization and patenting.

Module aim

To introduce the most innovative research methods and methodologies providing specialized knowledge for the solutions to the scientific research and other areas problems.

Description

Science philosophy. Prevention of plagiarism. Search for scientific information. Scientific information bases. How to write and publish a paper in a journal indexed in Web of Science. Modern software tools for research planning and scientific results publishing. Modern software tools for research planning and scientific results publishing Knowledge transfer, commercialization and patenting.

Module aim

To get acquainted with tendencies of philosophy of art and aesthetics of architecture.

Description

The most essential tendencies in the history of development of art philosophy and fundamental problems of ideas of architectural art are studied.

Module aim

To obtain necessary theoretical and prctical knowledge to conduct independent scientific research in the field of "design thinking" for the harmonization of material environment.

Description

The module "Research on the role of social interest /RSI/ in the harmonization process of material environment" is a theoretical, scientific research course, aimed to define the material environment aesthetic harmonization, involving society, mutual interaction processes and concepts. To reveal the nature of the RSI phenomenon in a postmodern society, as a complex manifestation, and to uncover and model interactions between intersts groups by proposing conclusions and recommendations for such a model omplementation. The module includes formal /legislation, Lithuanian, and EU policy definitions /and informal/ innate norm and morality based / environmental ibfluence contexts as well as aesthetical-artistic, social, economic, technological-engineering. psychological, ecological RSI aspects.

Module aim

Develop knowledge of contemporary urban design research and practice relevant to the solution of environmental formation problems

Description

Contemporary town content and town form conceptions. Peculiarities of the governing of town development in market economy situation. The attitude of sustainable urban development. Problems of renewal of the central districts in big cities. Problems of regeneration of the historical structures. Peculiarities of urban development of the peripheral parts of cities. The tasks of the sustainable development of suburbs. Fundamentals of formation of integral urban structure.

Module aim

Acquire knowledge of architectural history phenomena and contemporary architecture trends

Description

The stages of the history of architecture are studied and a comparative analysis of the development of global and Lithuanian architecture is performed. The problem of philosophy, axiology, ethics, psychology, semiotics, and the exchange of artistic ideas and principles in architecture are researched.

Module aim

To provide the knowledge on the theoretical background of the EU's agricultural policy, and dependence of the policy frameworks' evolution on general trends of socio-economic development.

Description

Content of the course is focused on the historical and evolutionary development of the EU common agricultural policy (CAP), analyzing the main economic and social development concepts that determined the essential changes of the CAP, and individual contribution of scientists to the development of the CAP. The aim is to highlight the differences of the CAP models at different development stages the EU rural policy and to explain their evolutionary character by adjusting a combination of variable and static components of the policy model. The possibilities to adapt previous experiences of the old EU countries developing national CAP models for Lithuania and other post-socialist countries is also part of the course. Finally the concepts of post-industrial economy are provided that gave impact for the recent CAP framework and discussions about the CAP evolution prospects and trends in the future.

Module aim

To get acquainted with methodology of financial forecasting and financial management peculiarities.

Description

Financial information. Universality and specifics of financial information. Financial environment. Business and financial system. Financial modelling process. Accounting and financial information for forecasting. Financial statement modelling. Forecasting performance. Business valuations. Planning under conditions of uncertainty. Sensitivity analysis. Scenario analysis. Monte Carlo simulation. Formation and management of investment portfolio. Investment risk and its management. Financial management for value creation.

Module aim

To master theoretical provisions, structure and functions of the welfare economics as well as key levers of economic management - fiscal and social policy.

Description

The concept of welfare in the context of sustainable development. Object of welfare economics. The concept of social effectiveness. The concept of citizens' welfare. The concept of living standard and its quality. Main characteristics of living standard. Employment. The problem of unemployment, its social and economic subsequences. Employment policy and evaluation of effectiveness of its measures. Level of population income and its structure. The concept of poverty. The main social economic indicators determining poverty. Social insurance and its structure. Social services and social support in cash.

Module aim

To provide doctoral students with complex knowledge and skills related to investment portfolio management, its processes, developing the ability to analyze current and past market situations, the causes and factors of changes in the historical prices

Description

The study subject Investment Portfolio Theory and its application comprehensively examines the main issues of investment and portfolio formation and management, such as securities portfolio formation and management, analysis of investment environment, that is necessary for proper selection of assets in the portfolio, market uncertainty, risk and return coordination, inclusion of alternative investments into the portfolio, different portfolio theories and their application in modern markets.

Module aim

To master welfare economics, social exclusion and labour market policy theoretical provisions, structure and functions.

Description

The subject aims to overview theories of social policy, social risks and social and labour market problems in contemporary society and the main elements of the system of social protection. It also covers concepts of social justice, historical development of the Welfare State and its models, challenges raised by globalization and modernization of the Welfate state. The subject is oriented towards practical aspects of social policy, covering all branches of social security including the compensation schemes of income lost due to social risks, labour market policy and programs of employment support. The curricula of the subject also includes the development of Lithuanian social welfare system.

Module aim

To provide the knowledge about the global economy and acquire the abilities to conduct the scientific research on globalization and global economic development

Description

The module includes integrated studies on globalization processes and the global economy. Priority is given to topics and issues such as: 1. Globalization and the global economy as the objects of the scientific cognition and research. Theories of globalization and global economics, their diversity; 2. Global markets. International trade, international investment, scientific and technological progress and technology transfer in the system of the global economic development processes. The labor migration and the global labor market development in the context of the processes of economic globalization. Social development, environmental protection and the strengthening of national and international security under conditions of economic globalization; 3. International organizations and their activities in the context of the processes of globalization and the development of the global economy.

Module aim

To provide doctoral students with the complex knowledge and skills necessary to make investment decisions in different areas of the economy, solving different types of investment problems, where a balance of return and risk is required.

Description

The subject Investment decisions is related to the formation of the bases of investment decisions, overview of basic investment theories, understanding of investment valuation principles, analysis and management of investing in different securities, alternative investment and application of simulation technologies in investment management.

Module aim

To get acquainted with main processes taking place in modern market economy.

Description

Universality of economic information. Estimation of demand and supply scope. Theory of macroeconomics - the effective means of business management. Alternatives of market models. Economic regulation of a country. Demand for economic resources and production. Incomes and question of standard of living. Economical problems of environmental protection. Estimation of operation's scope. Principles of economical equilibrium. Macroeconomic instability. Classical and Keynes theory of employment. Fiscal economy means. Banks and monetary policy. Budgeting policy. Regulation of macroeconomic processes.

Module aim

The aim of this course is to set the list the concepts that define the new ICTs as types of governing"logics" - that is frameworks through which the current media ecosystems work.

Description

The influence of information technology communication content on public information is inseparable from the development of information technologies and their social definition. In the scientific literature, this is described as a social construction of technology. Social construction is defined by common principles of technology application, which change with each generation of information technology and potentially take on new forms. The course structure is based on a series of lectures and seminars where students actively read and engage with the course material and it is led by an experienced researcher. The course is driven by the need to better understand the current information communication technologies and their ecosystems that govern our current social lives. Specifically, the focus here is on the social and technological contexts in which new ICTs emerge and what are the typologies of the analyses that can be applied to them.

Module aim

To provide research degree candidates with systemic knowledge about interdisciplinary innovations in digital communication and co-creation, and to develop practical skills for applying different digital communication methods in distinct environments

Description

This course is built form lectures and small seminar groups led by experienced researchers. The course research on the Internet enabled society and reflects Lithuanian Smart specialisation priority "Inclusive and creative society", which highlights the impact of ICT technologies on social progress. Artificial intelligence, virtual and augmented reality, ICT supported collective intelligence and other innovations are directly related to the development of digital communication. The development in the field of digital communication and co-creation is influenced by the innovations in three fields: growing connectivity through ICT, open data movement and diversity in digital collaboration forms. However, because of the diversity in technological tools and information channels, the networked society face in praxis the problems with coordination, collective decision making and opinion structuring, security and privacy, etc. These problems will be discussed from interdisciplinary perspective.

Module aim

The aim of the course is to form the ability to keep discussion on various topics by critically evaluating the propositions of disputants as well as texts and contexts they use.

Description

Annotation of course The course analyses dialogue as triplex structure: talking - with somebody - about something. It also researches the above mentioned structure's extension into polylogue through the other (direct or indirect) participants of communication, namely, into talking - with somebody - about something - by referring on somebody - criticizing somebody - and so on. The course critically compares the main theories of communication by revealing their differences, advantages and deficiencies as well as critical limits and incommensurability. The course also searches for the similarities between those theories as well as for possibilities and principles of the inter-theoretical dialogue. Finally, it reveals how inter-theoretical discussions enable critical evaluation of uncritical monological statements within communication theories themselves

Module aim

To acquire knowledge and skills, needed to perform communication research corresponding frontier and emerging research tendencies.

Description

Course creates possibility for students to get acquainted with Frontier methodology of communication science and emerging research tendencies, to find out purpose and specifics of contemporary research in communication science, to get acquainted with emerging data collection technologies. Students perform scientific research research: prepare research programme, collect data, and perform data analysis. Students have to demonstrate ability to choose appropriate frontier research methods, to perform the research and to interpret and present research findings

Module aim

The aim of the course is to disclose the knowledge of contemporary strategy theory, scientific research knowledge and to develop the abilities of their application and the development of new fundamental knowledge and ideas.

Description

Strategic management decisions' course discusses theories of markets, firms and their interactions and relevance to strategy theory, strategy theory as positive theory versus normative theory, long term value of capabilities based resources, intangible strategic resources and their interaction with performance of the firm, competitive interaction: clusters, strategic alliances and acquisitions, teams of managers and decision making, building dynamic, systemic, cognitive, and holistic strategy theory, empirical issues of researches investigating competence based strategy theory.

Module aim

To master management decision-making theory and methods.

Description

The course presents the management decision process, discusses the conditions (environmental impact), analyzes management decision-making models, delves into the peculiarities of group decision making, analyzes quantitative and qualitative decision-making methods and techniques, the application of multi-criteria methods in making management decisions in organisations.

Module aim

To provide theoretical knowledge in the field of business process digitalization management, to generate competences to evaluate changing processes and to form scientifically based solutions in the context of global digitalization.

Description

The course examines the latest research trends in business process digitalization management, emerging new business models, changing processes, innovative solutions and their assessment methods.

Module aim

To master methodological principles of public management and to project their implementing schemes.

Description

During the course of Theory of Public Management the concept, content, context and evolution as well as perspective of public management are provided. Components and principles of public management, open, closed and hybrid models as well as methods of public management, legal, political, social, economical, cultural environment of public management, the role of synthesis of public and private sectors, their partnership are examined. The potential of public management, human, financial and information resources are evaluated. Also state budget role, content, planning and execution, applied aspects of budget theory, strategic planning, planning decision assessment, public management institutions, its image and public trust, function review of public institutions are analyzed. Public management ethics, professional ethics, political ethics and codes of ethic are exemined.

Module aim

To provide knowledge on the evaluation and management of knowledge and innovation processes, their impact on increasing the effectiveness of organizational management, to acquire the ability to apply theories and methods to form reasonable decisions.

Description

The knowledge and innovation process management course examines the concept of knowledge and innovation management, processes and challenges in the conditions of globalization and transformation, knowledge and innovation processes management components, development, created value for organization management and the knowledge economy, knowledge and innovation processes evaluation methods, factors and criteria, development possibilities.

Module aim

To master Management methodological principles.

Description

During the course of Management Theory the essence of management theory is provided, alongside with its development and modern directions. In addition, the essence of management decision making is provided with modern simulation methods and decision support systems. System theory is analysed, including the interpretation of the management problem solution on the view of system theory and the content of management methods, the character of its implementation making decisions on various management problems, the content of management functions and management tasks in the different areas are analyzed and the prospects of Management are considered.

Module aim

To support doctoral students to acquire knowledge of modern optoelectronic materials, devices and technologies, and to implement and apply the acquired knowledge in future research and experimentation.

Description

Systematic theoretical and practical knowledge about modern optoelectronic materials, structures and basic technological solutions; knowledge about basic physical mechanisms of light emitters, radiation receivers and devices for manipulation of electromagnetic waves. Development of abilities of modeling, optimization and application in practical situations.

Module aim

To support doctoral students to master theory of artificial neural networks, and organize, implement and apply the acquired knowledge in the future research and experimentation.

Description

Students acquire systematic theoretical and working knowledge about modern static and dynamic artificial neural networks (up to 20 different titles), their structure, operations and training. They master with MATLAB artificial neural networks' simulation and processing of signals. Capabilities, learning processes, structure optimization and application aspects of artificial neural networks are questioned.

Module aim

The aim of the module is to provide the knowledge about the embedded systems, which are necessary for research and development of new Embedded Systems for the control of technologies.

Description

The knowledge about the Embedded Systems (ES) classification, development stages, development platforms, ES kernels, data transfer, integrated ES development environments, debugging of ES programs and operation systems dedicated to ES are provided. The specialized knowledge about the ES dedicated to control of the AC motors and ES for automatic control of the technologies are delivered as well.

Module aim

To acquire a deeper knowledge about computer system design and application for advanced research in the field of computer and information security.

Description

Acquire theoretical and practical knowledge about modern computer systems, their security tools and mechanisms. Learn how to model computer system security using various methods and applications. Focus on computer systems security incident detection, analysis and management issues.

Module aim

To provide PhD students with knowledge about structure of advanced microprocessor systems and principles of discrete time control systems design. Acquire ability to apply that in their research work.

Description

Student will acquire systemic and working knowledge for choosing of suitable system structure and elements, acquire abilities to predict the behavior of the plant, to choose optimal existing or develop new control algorithms. Acquire knowledge to develop suitable structure of microprocessor software, enabling long lasting reliable operation of the system and its renovation possibilities.

Module aim

Acquire a systemic understanding about the theory of signal processing in electronic circuits, ability to organize, implement and apply the acquired knowledge in the future R&D.

Description

A systematic theoretical knowledge on characteristics of broad (narrow)-band deterministic signals and random processes is acquired. Evaluation techniques for (non-) linear circuit effects on signals; methods for selection of the right technique in time (frequency) domain; applications for signal processing; nonlinear circuits application for signal spectrum modification are mastered.

Module aim

To help doctoral students gain knowledge and skills of numerical methods which are necessary for electrodynamic systems research, and for designing microwave devices and systems.

Description

Students acquire theoretical and working knowledge about numerical methods (finite differences, finite elements, finite difference time domain, and integral equations) and possibility of their application for the solving of problems of electromagnetism. Students receive skills of calculation of electromagnetic fields, creations of models of microwave devices and researching of their properties.

Module aim

To acquire deeper knowledge and skills needed for the design and scientific research of system-on-chip and their systems.

Description

In the course of Design Integrated Circuits and Systems on Chips, deeper and/or new knowledge is acquired about computer models of integrated circuit components, the design of very large-scale circuits with complementary metal-oxide-semiconductor (CMOS) transistors, specifics of analog circuit modeling, advanced automated design technologies for chip layouts, and the developmental perspectives of design of systems-on-chip.

Module aim

To analyze the theoretical principles of noise generation and propagation, and to understand the development of new acoustically efficient materials and the improvement of noise reduction technologies.

Description

The module comprises basic theory about noise sources and its scatter with stress on physical and technical processes. Students are acquainted with methods to analyse noise suppressive materials and constructions. Regarding noise impact on human health software to simulate of noise levels and its scatter is presented.

Module aim

To get aquanted with the chemicals and chemical proceses naturally existing in the environment, with chemical pollutants formed in the environment, with their influence on people and other living organisms. To be aquanted with the modern methods used

Description

Chemicals naturally existing and the natural chemical processes that are going on in the Earth's atmosphere, especially in it's lower layers (troposphere and stratosphere), as well in the natural waters (hydrosphere) and in the Earth's crust upper layer (pedosphere); anthropogenical chemical processes and as of it's consequence generated chemical substances that pollute envirinment and negativelly effect on human and other living organisms; pollutants that cause negative changes in the global environment (decomposition of ozone in the stratosphere, global warming); the modern methods used for decrease the pollutants generation and for its removal.

Module aim

To give the knowledge in environmental physics and form the practical skills in application of fundamental laws of nature.

Description

The subject referred to as Environmental Physics is a combination of theory and practice that helps for doctoral students to gain a better understanding of electrostatic phenomena in the atmosphere, laws of light propagation in the atmosphere, heat pollution, ionizing and non-ionizing electromagnetic radiation in the environment, acoustic pollution, basics of fluid mechanics, earth's magnetic field, physics of energy conversion in the sources of renewable and non-renewable energy.

Module aim

To introduce the waste management technologies. Accentuate the waste management priorities, economic, environmental and social aspects and the basic processing and utilization technologies.

Description

Waste classification, theirs characteristics and sources of waste. System of waste management. Waste collection. Waste utilization importance. Waste recycling technologies, machinery and their constructions. Technical, social and economical aspects for waste recycling. Concrete technologies of waste recycling.

Module aim

To provide basic knowledge about biogeochemistry as a science that studies the chemical composition of living organisms and their role in geochemical migration, the distribution and concentration of elements in the biosphere, and the links between bi

Description

The module is dedicated to the theoretical knowledge of the main sections of biogeochemistry and the application of its main aspects to solving environmental engineering problems. The topics of the module include: the fundamental concept of biogeochemistry about living matter, its functions in the ecosystem, landscape and biosphere and its role in the evolution of the Earth as a planet; basic laws and principles of biogeochemistry; geochemical nature of biosphere evolution and its quantitative parameters; instability of the geochemical composition of the Earth's crust, its natural habitats and geochemical anomalies; technogenesis-induced changes in the exchange of chemical elements and the concept of the contamination footprint; biophilicity of chemical elements and their biological accumulation and notion in phytoremediation; distribution of elements in plants and their accumulation factors and process efficiency indicators; biogeochemical provinces; biological and biogeochemical cycl

Module aim

To gain knowledge about the influece of separate industrial activities on different environmental components, technogenic pollution factors and their impact on health of society, to get new knowledge about innovative environmental technologies.

Description

Global anthropogenic pollution problems and impact on society health. The new scientific research on air cleaning technologies, its tendencies and perspectives. The physical environmental pollution and its impact on environment and human health. The rating and limitation of pollition. Soil and hudrosphere anthropogenic pollition and society health. The sources of pollition and self-cleaning processes. Innovative environmental technologies are used to reduce pollution.

Module aim

Enhance students' knowledge and provide new technical and scientific information about water preparation and wastewater treatment technologies. To provide methodological knowledge necessary for planning and conducting research on water prepartation a

Description

Water needs, quality, natural sources, regulation and assessment. Water quality improvement: indicators, methods, achievable efficiency. Water preparation technologies. Water disinfection methods, processes, equipment. Wastewater composition, properties and quantities. Requirements for wastewater effluents. Wastewater pre-treatment, biological treatment, tertiary cleaning processes, equipment, selection. Sludge treatment: stabilization, thickening, dewatering, drying, burning, energy recovery and reuse. Management, automation and optimization of wastewater biological treatment.

Module aim

To provide knowledge about various environmental processes and their interrelationships, and to enhance mathematical modeling skills for addressing uncertainties.

Description

In the course, knowledge is acquired about mathematical modeling concepts, modeling levels, analytical solutions of transport equations, methods for solving differential equations, transport process equations, wave propagation modeling, computer programs, and the final synthesis of results.

Module aim

To enhance existing and gain new knowledge about the necessary input data for transport communication pavement structures, their interfaces and the impact on digital model accuracy and automated pavement design.

Description

The module is intended to provide knowledge and skills related to the automated design of pavement structure. Pavement structure model is based on the components of mechanistic-empirical method - specific data and functional properties of materials, determined by laboratory tests. The use of an automated design model ensures computation speed, accuracy, repeatability and reproducibility.

Module aim

The main goals of studies is to give to the students an overview of contemporary problems driven by global urbanisation and main challenges in town planning. To

Description

Sustainable town planning history and development. Contemporary sustainable development concepts and movements, common urban sustainability criterias. Town planning in accordance with the principles of sustainability. Implementation of sustainability concepts in general town plans. Land right and land owners, health and higiene norms and other restrictions in sustainable urban planning. Foreseeing the development of urban territories, regeneration of derelict land versus consuming new areas. Planning the sustainable urban transportation system. Types of built-up territory, their use and characteristics in terms of sustainability.

Module aim

To introduce PhD students to the theory, practice, and latest data analytics trends.

Description

The leading global trends in big data analytics are growing IoT networks, more approachable AI, the rise of predictive analytics, cloud migration of dark data, the rise of chief data officers, quantum computing, smarter and tighter cybersecurity, endpoint security, cloud security, open-source data, data democratization, data ethics. Practical application of big data analytics: construction, real estate, cities, banking and securities, communications, media and entertainment, healthcare providers, education, manufacturing and natural resources, government, insurance, retail and wholesale trade, transportation, energy, and utilities, big data & auto-driving car, big data in IoT, big data in marketing, big data in business insights. Big data. Wearable devices. The Internet of Things. Smart technologies. Standards and data integration. Data mining and its practical uses. Data mining problems, methods and systems. Text analytics. Video analytics. Biometric analytics. Affective computing.

Module aim

Introduction with principals of experimental and numerical modelling of soil mechanics problems, application possibilities.

Description

Overview of in situ and laboratory soil experiments. Probabilistic evaluation of experiments. Modeling experiments via numerical methods. Finite elements in geotechnics. Physical models for soil modeling - elastic, elastoplastic, Mohr-Coulomb, Hardening soil, Hardening soil small with strain stiffness, Soft soil, Hypoplastic. Discrete element method for modelling soli behavior.

Module aim

To provide a wider knowledge on fire processes and effects of these processes on structures and humans

Description

Physics and chemistry properties of fire geneses. Quantitative evaluation of fire process. Analises of general fire factors and parameters. Burning pecualiarity of diferent materials. Stage development of fire. Analises of smoke factors.

Module aim

To be able to choose soil testing methofs, get parameters for the chosen soil model.

Description

Soil formation peculiarities and experimental researches needed for determination of the soil finite elements parameters for ground material model. Probabilistic evaluation of experimental data. Soil material models: elastic, elastic-plastic, Moro-Coulomb, Hardening Soil (HS), Hardening Soil with small strain stiffness (HSsmall), Soft Soil Creep models. Discrete element method used for soil simulation.

Module aim

Mastering of micro transport modelling at the level of road strech and intersection. Evaluation of transport and pedestrian flow interaction, impact of traffic flows on traffic safety.

Description

The main analyzed subjects are as follows: increase of transport traffic flow and generated problems in the European Union and Lithuania. Modelling of traffic flows on highways and national roads. Modelling of traffic flows on city streets. Simulation of conflict situations caused by transport traffic and pedestrian flows at intersections. Use of simulation results in road and/or street network development and reconstruction projects.

Module aim

To provide a theoretical background of developing physical models of composites; to teach solving physically nonlinear design problems.

Description

Current technologies enable of synthesising polymers with exceptional mechanical characteristics. Such materials are widely used in medicine, automotive, and spacecraft industries. However, conservative approaches to new materials are predominant in the design of building structures. The purpose of this module is to identify efficient structural solutions implementing fibre-reinforced polymers with exceptional mechanical properties. In this context, the "efficiency" criterion is understood as the ability of the element to withstand the design loads with the lowest material cost (taking into account the production technology).

Module aim

To introduce PhD students to the nonlinear analysis of reinforced concrete structures.

Description

Material and geometrical nonlinearity. Nonlinear problems in structures. Physical-mechanical properties of concrete at curing state. Shrinkage and creep of concrete. Deformation analysis methods of reinforced concrete structures accounting for concrete creep and shrinkage. Calculation examples and analysis of results. Analysis of concrete structure at meso-level. Analysis of concrete structure at micro-level. Stress-strain relationships for steel and concrete at uniaxial stress state. Strength and strain of concrete at bi-axial and tri-axial stress state. Influence of temperature on deformations of reinforced concrete constructions. Basics of theory of plasticity. Models of concrete cracking. Discrete and smeared cracks models. Cracks width calculation methods. Deflections calculation methods. Bond between steel and concrete and models. Stress- strain analysis using layer model. Basic principles of direct and iterative calculation methods.

Module aim

To analyze theoretical and applied methods of calculation of high strength and stainless steel and aluminum advanced structures.

Description

Advanced structures in high strength steel, stainless steel and aluminum. Scope, properties, requirements, behavior, theoretical and applied background of these materials.

Module aim

Provision of knowledge on the risk oriented design of safe objects belonging to critical infrastructures, namely, principal buildings, key components of transportation and energy delivery systems.

Description

Physics and chemistry properties of fire geneses. Quantitative evaluation of fire process. Analises of general fire factors and parameters. Burning pecualiarity of diferent materials. Stage development of fire. Analises of smoke factors.

Module aim

To introduce students to the theoretical and practical framework of digital construction and building information modelling.

Description

After completing this course, you will have the information and abilities necessary to successfully implement Building Information Modeling (SS-BIM) and digital construction in the construction industry. Knowledge of SS-BIM enhances the effectiveness and efficiency of operations throughout the construction sector. The core topics include the origin, components, definition, and application of SS-BIM, as well as its role throughout the project life cycle. The course also analyzes the latest global digital construction technologies-such as Chat GPT, digital twins, virtual and augmented realities, wearables, and IoT (including equipment monitoring and repair, inventory management and ordering, energy efficiency, and security)-across the building life cycle, with a focus on their potential implementation in Lithuania. Additionally, the course will feature presentations on real-world examples of the latest SS-BIM applications in real estate and construction both in Lithuania and globally.

Module aim

To analyze layered structure theory and computational methods, to present their analysis of the pros and cons

Description

Types of sandwich structures, composition and related methods of analysis. Analysis of sandwich structures with mild and rigid internal layers. Effect of ties for joint action of layers. Evaluation of regidity of joints.

Module aim

To give general fundamentals of digital and information modeling of buildings and its application for the development of an integrated AEC project.

Description

Modern computer-aided design technology in AEC is based on Building Information Modelling (BIM) concept. According to this concept building design project or its separate parts have to be created within three-dimensional object oriented parametric graphical-information model context covering all stages and parts of the project. Therefore, it is very important that all project participants (architects, constructors, engineers, technologists, etc.) successfully collaborate at all parts and stages of the project. The basis for such successful collaboration is the knowledge of standards and rules in the integrates project, and the ability to manage project data using a common data environment.

Module aim

To introduce PhD students to the life cycle of the built environment and its theory of analysis and its practical application in various fields.

Description

Life cycle of a built environment and its analysis (the life cycle of a building; phases of a life cycle assessment; integration of a LCA in green building rating systems; model for a complex analysis of the life cycle of a built environment with emphasis on the building's life cycle assessment; quantitative and qualitative aspects for analyzing the life cycle of a built environment; environment at micro-, meso- and macro-levels; model for a complex analysis of the life cycle of a built environment; practical realization of the model for a complex analysis of the life cycle of a built environment; stakeholders in various stages of the life cycle of a built environment; criteria system to describe the life cycle of a built environment systematically). Building LCA databases and tools (LCA databases; life cycle assessment software and databases; multipe variant design and analysis of a building's life cycle and selection of the most efficient options.

Module aim

To provide theoretical background and to teach how to develop multi-criteria discrete optimization models and apply decision support systems in order to solve problems of sustainable construction.

Description

Basics of Multi-Criteria Discrete Optimization: goal formulation, data types, problem-solving models, and types of utility functions. Expert data processing and expert selection. Intelligent Decision Support Systems (IDSS), their classification and components; integration of multi-criteria IDSS with recommendation, consulting, expert, data, and text analytics systems; practical examples of decision support systems and their application to sustainable construction tasks. Latest Global Trends in Multi-Criteria Optimization and IDSS in the Built Environment include Generative AI, AI and Personalization, AI in Construction and Real Estate, Democratization of AI, Multimodality, AI in Transportation, AI in Climate Change Solutions, Digital Twins, Predictive Analytics, Shadow AI, Conversational AI, Augmented Reality, augmented work, and customized AI models revolutionizing construction, responsible AI.

Module aim

To give general fundamentals of theory and its practical use of statistical investigation and multiple criteria evaluation of building and building structures.

Description

Trends of development and application of statistical investigation in civil engineering codes of developed European countries. Application of random values, processes and areas and probalistic investigation models. Statistical control and evaluation of members and systems. All-round quality analysis of projects. Influence of micro-factors on efficieney of projects. Fundamental theory, methods and models for multiple criteria evaluation of projects. Optimality criteria. Theoretical methods for determination of weight values of criteria. Integration of multiple criteria decision making methods with recommender, advisory, expert, data and text mining methods. Combination of multiple criteria decision making systems with recommender, advisory, expert, data and text mining systems.

Module aim

The aim is to provide the Ph.D. students which the knowledge on the microorganisms, their influence on the building materials and the outcomes.

Description

Modern methods of the microorganism detection. Plant-based and traditional building thermal insulating materials. Biological additives for the building materials. Bio-cementation and bio-cements. Biological plastics.

Module aim

To analyse fundamentals of bulk and powder composite system development, with a view to their effective use in constructions and surface functional coating.

Description

Course material presents: classification of composites; criterion for composite design; composite structure and properties; major composites components along with physical and chemical processes caused by their interaction. Course mainly focuses at the metal matrix based composites, ceramic materials and their use in composites. The powder composites are analyzed as well .

Module aim

To provide latest knowledge about the features of design durability and residual life assessment of metal products, modeling of material degradation and fatigue phenomena, prediction models of residual life, variety of testing methods and equipment.

Description

Prediction the residual life and design durability of metal products and structures is very important in assessing the technical condition and safety of various designed and operated objects. The module provides doctoral students with an understanding of material degradation and fatigue phenomena, criteria and their modeling methodologies. The material taught in the module provides information about analytical prediction models of residual life and design durability. The module reviews the features and conditions of existing experimental methods, analyzes the specifics and structural features of various dynamic test equipment.

Module aim

To provide knowledge about new metal composites properties and weldability, fundametals of their welding processes , joints structure and design features

Description

Course material presents: bacis information about new metal matrix composites properties, physical-chemical and stucture features, weldability, fundamentals of metal composites laser, beam, stir, diffusion, induction, thermite, arc, ultrasonic, solid-state welding, brazing and soldering processes, joints structure and design features

Module aim

To give fundamental knowledge about microbial fuel cells, their design, materials, principle of operation, practical implementation and application.

Description

In this course, the fundamentals of electrochemical and bioelectrochemical processes are studied, as well as reactions on anode and cathode, and mass transfer phenomena.

Module aim

To provide up-to-date knowledge of microscopy techniques used to analyze the microstructures of materials.

Description

This module is designed to provide an in-depth understanding of advanced microscopy techniques for the analysis of material microstructures at various scales, ranging from the microscale to the nanoscale. Students will learn the principles behind different microscopy methods, their applications in materials science, and how they can be employed to characterize material properties and analyze microstructural features. Special emphasis will be placed on techniques such as Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Atomic Force Microscopy (AFM), including their variants and applications for mechanical and topographic analysis, as well as in corrosion and defect studies.

Module aim

To analyze the characteristics of raw materials, additives, assessing their impact on the structure, properties, durability of clay and ceramic materials; to explain thespecifics of structure formation and reveal the possibilities for modifying.

Description

The module provides knowledge about the structural formation characteristics of clay and ceramic materials, the physical and chemical processes occurring in clay materials at different production stages, as well as the possibilities for modifying the structure of clay and ceramic materials and their relationship to the properties and durability of products, along with the potential applications of clay and ceramic products. Understanding and the ability to manage the studied chemical, physical, and technological processes or phenomena will contribute to effective scientific work in the fields of materials, construction, and environmental engineering.

Module aim

To analyze the principles of creating functional and multi-component coatings, to be able to select the most suitable coating composition and method of formation and to evaluate the quality of the formed coating.

Description

The material of the module presents: the physical characteristics of thin surface films, the purpose and application of the coatings, the technological methods of films forming and the control of the properties of coatings.

Module aim

Provide the latest knowledge about the production technologies, characteristics of the structure formation and the variety of research of the properties of different porous materials.

Description

Every day people come into contact with porous materials, which surround them, and widely used in many engineering fields as well. A general introduction to porous materials provides PhD students with an understanding of the classification, properties and uses of porous materials. The material taught in the module provides information on the production technologies of porous materials of different nature, their practical application in different civil engineering structures (thermal insulation, sound absorption, vibration damping, etc.). The main properties of porous materials and various methods of determining these properties were analyzed in the module.

Module aim

To give knowledge on building materials with conglomerate structure, new building materials design, production technology and application in construction, implementation of building materials quality control and conformity assessment

Description

Building conglomerates and their application. Mineral binders: cement, lime and gypsum. Principles of building materials hardening. Microstructure of conglomerates. Chemical and mineral admixtures. Aggregates and their properties. Optimization of aggregates granulomatry. Reological and technological properties of mixtures. Microstructure and properties of hardened conglomerates. Corosion and durability of conglomerates. Optimization of mixtures.

Module aim

To provide a deeper knowledge about building materials durability

Description

The effect of operating conditions and ambient environment on building materials. Resistance of building materials to moisture and the impact of water, frost, chemical agents, abrasion, temperature. The phenomena of corrosion occurring in building materials. Types of corrosion. Durability of porous building materials and test methods. Methods of predicting frost resistance. Combined effects of corrosion and frost resistance on the durability of building materials.

Module aim

Take a fundamental knowledge about advanced thermal insulating materials, their properties, production methods

Description

Production technologies, raw materials and their preparation. Classification of thermal insulating materials and general technical requirements. Structure. The main properties of these materials. Neorganic thermal insulation materials. Organic thermal insulation materials. Testing methods. Use thermal insulating materials in new and renewable structures.

Module aim

To provide doctoral students with knowledge about thermal insulating polymeric materials, their production, the peculiarities of structure formation and relevant performance properties.

Description

The module provides knowledge about the production, physical and chemical processes occurring during the production of thermal insulating polymeric materials, the peculiarities of structure formation and the possibilities of its modification with fillers of inorganic and organic origin, relevant performance characteristics, and the interpretation of the obtained results. The synthesis of raw materials used in producing these products and the effect of raw material technical parameters on hardening, structural parameters and performance are also examined.

Module aim

Provide the Ph.D. students with knowledge about the properties, structure and theoretical bases of production processes of refractory materials; familiarize with the possibilities of modification of refractory materials.

Description

The module provides knowledge about the classification of refractory materials, their properties, the physical and chemical processes that occur during their production and at high temperatures, the peculiarities of the formation of the material structure and its modification possibilities, as well as the hardening mechanisms of refractory concrete with different binders and the effect of various loads on the durability of refractory materials is discussed.

Module aim

To provide deeper knowledge about the structure and properties of materials, as well as methods for researching the structure of materials and their application

Description

The material definition. Materials classification. Atomic structure of materials. Cristal structure of materials. Properties of materials. Liquid materials and rheology. Metals. Ceramics. Cement and concrete. Polymer materials. Composite materials. Materials corrosion and degradation. Electrical, thermal, optical properties of materials. Atomic spectral (emission and absorption) analysis, X-Ray fluorescence analysis, optical microscopy, transmission electron microscopy, scanning electron microscopy, scanning probe microscopy (atomic force microscopy, tunelling microscopy), X-Ray microanalysis, X-Ray diffraction analysis, IR spectroscopy, differencial thermal and thermogravimetrical analysis.

Module aim

To be able to conduct a numerical study of various biological objects, applying the knowledge of mechanics.

Description

Basic concepts. Application of various biological processes in mechanics. Ability to apply knowledge of mechanics to specific biological objects: blood cell (erythrocyte, platelet), bacterium (S. aureus), virus (coronavirus), nucleotide (molecular biology, corresponding DNA sequence). Evaluation of biological interactions between objects when the object interacts at an appropriate distance, and the case when there is contact (contact mechanics). Evaluation of the adhesion effect when characterizing interaction at a distance. Finding mechanical parameters for numerical simulation.

Module aim

To provide the knowledge and understanding of biomechanical systems and their components, their interactions, liquid, solid, passive and active biological soft tissues mechanical properties of the muscle-skeletal system dynamics, biological fluid flo

Description

Provided knowledge of biomechanical systems, their structure, biomechanical elements of the system and their interactions, liquid, solid, passive and active soft biological tissue mechanical properties of the muscle-skeletal system dynamics features many degrees of freedom with biomechanical systems modeling methods, biological fluid mechanics peculiarities .

Module aim

The module aims to provide theoretical and practical knowledge of particle agglomeration patterns and mechanisms of agglomeration efficiency affecting the effects of experimental and numerical studies of particles agglomeration techniques.

Description

Trends, analysis and problems of atmospheric pollution control in Lithuania. Analysis and development strategy of air purification devices, which are being used in Lithuanian industry and power plants. Theoretical justification of methods for determination of dust and aerosol physical, mechanical and chemical properties. Metrological provision. Dust concentration. Kinetics of Brownian coagulation. Factors influencing the rate of coagulation. Particle polydispersity influence on coagulation rate. Gravitational coagulation. Influence of temperature, pressure and air viscosity on coagulation. Particle shape influence on coagulation. Turbulent coagulation of aerosol particles. Coagulation of charged particles. Coagulation of particles in acoustic field. Theoretical distribution of dust particles. Influence of meteorological conditions on physical and mechanical properties of dust. Dynamics of dust particles coagulation in a closed environment. Research of dust dispersion applying gravitati

Module aim

Introduce the students the main components of mechanical system design and principles, namely modeling of physical system, sensing components, actuating devices, signal and control, real-time interface. Develop the process of translating real physica

Description

This course covers the fundamental areas of technology on which successful mechanical system designs are based: physical modeling, from design model to truth model, and mathematical modeling of dynamic multidisciplinary physical systems; analysis of mathematical models; control actuator (electromechanical, pneumatic and fluid) modeling, analysis, and implementation; continuous controller design and real-time analog and digital implementation.

Module aim

Introduce PhD students with characteristics of mechatronic systems, their development, research of dynamic characteristics, modeling and practical implementation.

Description

During the studies, Phd students will be acquainted with the structure of mechatronic systems. They will study dynamic process which accours in mechatronic systems. They will be introduced with main principles of modeling and research of dynamics characteristics of mechatronic systems.

Module aim

Develop and deepen PhD students' knowledge and skills in modern methods of analysis of the thermodynamic energy, other energy-intensive technologies in assessing, developing, analyzing, interpreting their technical systems.

Description

The course introduces the principles and application areas of exergy analysis, emphasizing the links between exergy assessment, the environment, and sustainable development. It examines energy transformation processes - from renewable energy systems to psychrometric processes - illustrated through selected case studies. The course also covers: exergy-based life cycle assessment of thermal systems, thermodynamic analysis of countries, regions, and economic sectors, and the principles of exergoeconomics.

Module aim

To learn modelling of interaction between rail vehicle wheel-set and track; evaluate adhesion factors correlation; analyse principles of train steady running assurance; estimate energy efficiency of traction energy recovery processes.

Description

Mechanical, and physical-chemical phenomena of rail traction vehicle wheel/rail adhesion, Hertz and Kalker theory for consideration of wheel/rail contact. Regularities of adhesion coefficient variation and the problematic of defining its value. The phenomenon of rail vehicle wheel slip and creepage. The selection methodology to select the rail vehicle according wheel/rail adhesion conditions and the ways to indicate a critical mass of train. Investigation of correlation of factors influencing on bogie interaction with the track and ensuring principles of train stable (continuous) running. Traction force, running resistance and speed diagrams for locomotive load analysis, the critical mass of freight trains. Algorithms of optimal traction force selection, taking into account track geometric parameters (vertical and horizontal curves) and wheel/rail adhesion conditions. Innovative systems of locomotive traction and braking force automatic adjustment and control. Scientific algorithms of

Module aim

To provide detailed knowledge about traffic flow, as dynamics sistema, inestigation methods and to apply methods to solve traffic flow problems.

Description

Traffic flow as a complex dynamic system is investigated. Road traffic system, the main characteristics of the roads and parameters. Classification of transport flow mathematical models. Automobile after automobile tracking mathematical model. Traffic flow continuum mathematical. model. The main assumptions. Kinetic Theory. Boundary conditions. A hydrodynamic theory, the main mathematical models. Discrete traffic flow method and the main assumptions. Transport flows with stochastic parameters. Determination of noise level in traffic flows. Transport flow control problems. Transport flows of dynamic processes in the study examples.

Module aim

Provide detailed knowledge of objects of rotortronics (rotor systems of transport machinery), their characteristics, the dynamic processes that develop the capacity to understand the physical processes occurring in them are described mathematically,

Description

Investigation system is rotor system and its elements. Rotor as a deformable body motion equations, the assumptions adopted, the applied force and moments. Hydrodynamic lubrication problem. Reynolds equation, boundary conditions, solution methods. Hydrodynamic bearing stiffness and damping. Two-body interactions.Hertz contact theory and the assumptions. Rolling bearings mathematical models, the assumptions adopted. The rotating system stability. The rotating system diagnostics, measurements devices and diagnostic techniques.

Module aim

To provide detailed knowledge about optimization of transport technological procesess, problems, solution methods. To develop skills to understand the transport technological procesess, to generate the optimization task, to pay the correct decision

Description

Optimization problems of technological processes are presented. Introduces common linear programming problem. The nonlinear optimization problem of vehicle suspension, the their elements as nonlinear dynamic system are presented.

Module aim

To provide theoretical knowledge regarding the interaction between the vehicle and road, also to increase abilities to evaluate various factors, which has influence on vehicle driving dynamics.

Description

Elements of transport system and their interaction. Types of pavement, features and behavior. Road climatology, parameters of road traffic, calculation and their interaction. Construction of pavement, acting factors on it and model. Influence of pavement on driving conditions. Road safety. Technologies and funding of road maintenance.

Module aim

Provide detailed knowledge of vehicles and technological equipment of dynamic, thermodynamic and hydrodynamic processes, problems, mathematical modelling, their characteristics, to develop skills to understand of physical processes.

Description

Investigation dynamic, hydrodynamic and thermodynamic processes in the vehicles and technological equipments. Liquid and gas are compressible medium. Speed of sound, pressure wave propagation. The main hydrodynamic equations, assumptions, boundary conditions, solution methods. The high-speed processes in the mechanical, hydraulic and pneumatic systems and their elements are considered.

Module aim

To provide detailed knowledge about vehicle transmissions, dynamic processes, problems, mathematical modeling, their characteristics, to develop skills to understand the physical processes occurring in them are described mathematically, to pay the co

Description

Vehicle transmissions dynamics processes are investigated. Transmission elements of nonlinear characteristics. Two-body interaction theories. Gear coupling characteristics. Transmission element equations of motion. Mathematical models of transmission elements. Research methods of dynamics processes of vehicle transmission.

Module aim

To deepen knowledge about the control of electric drives of traction vehicle, the peculiarities of control of static energy converters and to develop the ability to analyze the efficiency of drivers.

Description

Basic concepts and principles for control of rail traction vehicle electric drives. Comparative analysis of the characteristics of direct and alternating current electric machines. Investigation of static energy converters and the newest generation high power semiconductor cells. Development of structural diagrams and evaluation of functionality of electric drives of alternating and direct current system locomotives. Development of frequency converters for speed control of AC electric motors and analysis of embedded systems with microcontrollers. Analysis of regularities of automatic control of electric drives of rail traction vehicles. Evaluation of the efficiency of automatic control systems for analogue and digital rail vehicle electric drives. Research methods for new generation traction drive diagnostic systems.

Module aim

To provide detailed knowlegde about vehicle dynamics proceses, problems, their characteristics, mathematical modelling, to develop skilss to understand the physicals processes occuring in them are described mathematically and to choose solution met

Description

The vehicle considered as a complex dynamic system consisting of rigid and deformable bodies that are interconnected nonlinear physical (mechanical, hydraulic, pneumatic and electrical) connections. Analyzed the land, water and air vehicles (cars, wheeled tractors, locomotives, wagons, tank wagons, boats, airplanes, etc.) dynamic processes. Vehicle dynamic processes described by nonlinear differential equations. Road roughness characteristics. Wheel interaction with the road surface theories. The vehicle wheel mathematical models, their comparison and analysis. Deformable wheel mathematical model using the FEM for evaluating the tire dynamic, thermodynamic and hydrodynamic processes. Wheel interaction with a layer of water on the road surface (aquaplaning, Reynolds equation). The vehicle stochastic vibrations, comfort. Stability of vehicles, the stability analysis and stability Investigation zones. The vehicle anti-lock braking system (ABS) mathematical models. Dynamics of vehicle brak