. "Remote Sensing"@en . . "Space System engineering"@en . . "Aerospace engineering"@en . . "Satellite Engineering"@en . . "Computer Science"@en . . "English"@en . . "Mathematics"@en . . "Mechanical engineering"@en . . "Fundamentals of research and innovation"@en . . "6" . "Course aim\nThe course aims to provide students with the knowledge and skills necessary for research and innovation developement.\n\nDescription\nThe module is about the methodological bases of science and innovations. Discribed scientific methodology category, their characteristics and interfaces. Physical methodological bases of science and physical modeling of technical processes, The similarity theory. The similarity criteria and their application in mechanics, aerodynamics, hydrodynamics. Dimensional analysis and its practical application. Statistical evaluation of experimental data. Regression analysis. Physical processes in a semi-empirical statistical modeling. Received distributions of fitness evaluation criterion and the correlation coefficient Chi square. Pafentology law. Research and presentation of the results. Innovation, the concept of the importance of their species. Conservative and radical innovation. Innovative process steps. Idea Generation, Evaluation and selection. Innovative projects. Intellectual property protection. Students must attend at least 60% of the time scheduled practical lectures. Students must attend at least 80% of the time scheduled laboratory work.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Numerical methods"@en . . "6" . "Course aim\r\nThe goal is to introduce the basic numerical methods and to learn how to apply these methods for solution of specific problems.\r\n\r\nDescription\r\nIn this course students learn the concepts of computer arithmetic, stability and computational complexity of numerical algorithms. Students learn numerical methods for solving nonlinear equations and systems of equations, direct and iterative methods for solving linear systems of equations, finite difference method for solving differential equations, interpolation and approximation methods, and numerical integration methods.\r\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Microsatellite engineering"@en . . "6" . "Course aim\r\nTo learn how to design key microsatellite subsystems that will satisfy overall spacecraft system and mission requirements.\r\n\r\nDescription\r\nDuring the course students are taught how to design a microsatellite starting from a set of mission and system requirements and ending with preliminary design of major satellite subsystems. This course is prepared as a natural extension of spacecraft systems engineering course and continues with more focus to actual subsystem design and analysis. As a result, students will understand the purpose and importance of good system design practises as well as learn about the implementation aspects of spacecraft subsystems. Students must attend at least 60% of the time scheduled practical lectures. Students must attend at least 80% of the time scheduled laboratory work.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Introduction to uav technology"@en . . "6" . "Course aim\r\nTo provide the knowledge regarding autonomous aerial vehicles technologies and systems, principles of operations, which on its turn will allow students to select the further direction during the master studies. To motivate students to investigate and research new technologies and systems, motivate the innovative thinking, search for new scientific knowledge\r\n\r\nDescription\r\nDuring the course students get familiar with main elements of the Unmanned Aerial Vehicles elements of technology like: powerplants, energy storage and supply, attitude and position determination systems and algorithms, thermal systems, radio communication systems, surveillance systems etc. With the increase of implementation of UAVs all over the world this knowledge becomes of extreme importance. Students must attend at least 60% of the time scheduled practical lectures. Students must attend at least 80% of the time scheduled laboratory work.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Research work 1"@en . . "6" . "Course aim\r\nThorough analysis of scientific and technical sources dealing with the theme of final master thesis and formulation of problems for the next reseach stage.\r\n\r\nDescription\r\nSelection of problem to be solved in master thesis. Review of literature according the problem of master thesis. Preparation of summary of the review. Formulation of the task of master thesis.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Computer-aided engineering (cae)"@en . . "9" . "Course aim\r\nTo provide knowledge on backgrounds of Finite Elements Method, FEM based computational technology and application to engineering (incl. aerospace structures) problems. To get the ability and skills to practical application the FEM software.\r\n\r\nDescription\r\nConcept of finite element method. Definitions. Standard discrete system. Diskretization of continua. Interpolation functions. Two-dimensional elements. Three-dimensional elements. Thin walled elements. Non-linear and time dependent problems. Applications to aerospace structures. Data procession technologies. Elements types and discretization procedures.\r\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Astrodynamics"@en . . "6" . "Course aim\r\nAstrodynamics is the keystone of every space mission, thus the aim of the course is to provide the fundamental knowledge regarding body motion subject to gravitational and other forces. Students will learn to describe and analyze spacecraft trajectories, focusing on the mathematics and physics behind these concepts. The acquired knowledge will be applied by simulating body motion in Matlab and Simulink.\r\n\r\nDescription\r\nDuring the course students get familiar with the fundamentals of astrodynamics: body motion subject to gravitational and other (thrust and aerodynamic drag) forces, reference frames and orbital elements, two-, three-body problems are analyzed, including interplanetary trajectories and relative spacecraft motion.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Unmanned aerial vehicle systems"@en . . "6" . "Course aim\r\nTo provide students with the knowledge regarding the systems of autonomous aerial vehicles, principles of their operations and ways to improve that. To motivate students to investigate and research new technologies and systems, motivate thr innovative thinking, search for new scientific knowledge.\r\n\r\nDescription\r\nDuring the course students will get familiar with the main systems of Unmanned Aerial Vehicles, their functioning, influence on the performances on operations of entire vehicle, fault diagnostics etc. Such systems as: aircraft control, electrical, powerplant, position determination, safe emergency landing etc. will be discussed.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Research work 2"@en . . "3" . "Course aim\r\nAnalysis of theoretical methods and their application for the selected problem.\r\n\r\nDescription\r\nAnalysis of theoretical methods and their application for the selected problem.\r\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Spacecraft system engineering"@en . . "6" . "Course aim\r\nTo understand and learn how to practically apply systems engineering methodology in the design process of a spacecraft.\r\n\r\nDescription\r\nDuring the course students get familiar with main elements of the Unmanned Aerial Vehicles and Automated Space Vehicles elements of technology like: powerplants, energy storage and supply, attitude and position determination systems and algorithms, thermal systems, radio communication systems, surveillance systems etc. Since in these days similar systems and algorithms on Unmanned Aerial Systems and Space Vehicles are used, the course includes both subjects.\n\nOutcome: Not Provided" . . "Hybrid"@en . "FALSE" . . "Microcontrollers and their programming"@en . . "6" . "Course aim\r\nTo learn the principles of development of microcontroller-based devices dedicated to the scientific investigations. To choose the microcontroller and other elements for the microcontroller-based devices and to create the microcontroller programs using C programming language. To be able to substantiate solutions working individually or in the team\r\n\r\nDescription\r\nThe knowledge about the main microcontroller families and their characteristics are obtained in the course of Microcontrollers and their Programming. The PIC18 microcontroller family has been studied. The representative of this family microcontroller PIC18F4520 is studied in details. The development board dedicated to the design of electronic equipments based on the PIC18 family microcontrollers and C compiller MicroC PRO for PIC used for the creating of PIC microcontroller programs using C programming language have been studied as well. The development of concrete microcontroller programs dedicated to the processing of the analogue signals transmitted by the sensors and programs that are used for the time measurement, which can be employed during the research work, is studied.\n\nOutcome: Not Provided" . . "Hybrid"@en . "FALSE" . . "Autonomous control of unmanned aerial vehicles"@en . . "6" . "Course aim\r\nTo provide knowledge on control systems of Unmanned Aerial Vehicles and especially automated control systems implemented on mentioned vehicles. To motivate students to investigate and research new technologies and systems, motivate the innovative thinking, search for new scientific knowledge.\r\n\r\nDescription\r\nDuring the course students get familiar with control systems and their elements of the Unmanned Aerial Vehicles, with the special emphasis on the automation and automated systems implemented on these vehicles. Since implementation of UAVs is based on maximal automation of their systems, these questions are covered in the module.\n\nOutcome: Not Provided" . . "Hybrid"@en . "FALSE" . . "Remote monitoring"@en . . "6" . "Course aim\r\nTo provide the knowledge regarding autonomous aerial vehicles and autonomous space vehicles technologies and systems, principles of operations, which on its turn will allow students to select the further direction during the master studies. To motivate students to investigate and research new technologies and systems, motivate the innovative thinking, search for new scientific knowledge\r\n\r\nDescription\r\nDuring the course students get familiar with main elements of the Unmanned Aerial Vehicles and Automated Space Vehicles elements of technology like: powerplants, energy storage and supply, attitude and position determination systems and algorithms, thermal systems, radio communication systems, surveillance systems etc. Since in these days similar systems and algorithms on Unmanned Aerial Systems and Space Vehicles are used, the course includes both subjects. Students must attend at least 60% of the time scheduled practical lectures. Students must attend at least 80% of the time scheduled laboratory work.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Research work 3"@en . . "6" . "Course aim\r\nTo develop skills to do computational or experimental usearch on the selected issue.\r\n\r\nDescription\r\nComputational or experimental research on the selected problem.\r\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Aerospace structures and materials"@en . . "6" . "Course aim\r\nTo provide the knowledge regarding to space environment for common materials, will lern, evaluate and analyzed material selection with space related situations, will be able select appropriate material for specific requirements, moreover, students will be introduce to various manufacturing technologies, be able correctly chose design for related manufactured technology.\r\n\r\nDescription\r\nDuring the course, students are introduced to the main materials used in the space environment and their processing technologies, such as computer machine tool processing technology, casting, composite materials production, casting, vacuuming, extrusion, 3D technologies and others. The prevailing environment in space and the design challenges it poses will also be assessed.\n\nOutcome: Not Provided" . . "Hybrid"@en . "TRUE" . . "Free choice obligatory course"@en . . "3" . "No Description, Outcome Not Provided" . . "Hybrid"@en . "FALSE" . . "Signals and signal processing"@en . . "9" . "Course aim\r\nIncreasing of knowledge and skills in theoretical analysis of signals and their processing methods in newest technology. Be able to explain the proposed solution, self-employed or diverse.\r\n\r\nDescription\r\nThe course of Signals and Processing provides knowledge on the basic items of signal theory: the analysis techniques of signals changing in electronic circuits, dynamic signals mapping, geometrical methods of signal theory, orthogonal signals theory, methods of calculating the amount of information. The mathematical models of fixed range signals and their associated sampling theorem, analytical signal, Gilbert's transformation are analyzed. During the study of discrete signals and their processing the students learn to make mathematical models of discrete signals and calculate the signal characteristics. The skills to analyze creation, processing and utilization of digital signals are acquired. Analog-digital and digital-analog converters, the fast Fourier transform and its applications, digital filtering algorithms in time and frequency domain, the digital device speed are analyzed.\n\nOutcome: Not Provided" . . "Hybrid"@en . "FALSE" . . "Radio communications and their applications"@en . . "9" . "Course aim\r\nTo provide knowledge about modern radio communication systems and their practical applications.\r\n\r\nDescription\r\nThe study course provides knowledge about data transmission systems, their block diagram and processes. Also this subject will enable students to better understand the wireless radio communication (WRC) technologies, to learn about recent and future trends of WRC technologies. Implementation of these systems in the SDR transceivers is analyzed.\r\n\nOutcome: Not Provided" . . "Hybrid"@en . "FALSE" . . "Discrete control systems"@en . . "9" . "Course aim\r\nLearn to design and analyze discrete control systems, design controllers matching specifications of discrete control system, apply those for control of various dynamic systems and get ability to use advanced informational technologies, design systems with incompletely defined information.\r\n\r\nDescription\r\nSubject \"Discrete control systems\" provides knowledge about design strategies of discrete control systems, block diagrams, the basis of mathematical models of systems: differential equations of discrete systems, discrete Laplace transform, transfer functions and stability analysis in frequency domain (Mikhailov, Nyquist methods) and Bode diagrams; and knowledge, required for system synthesis: principles of designing of proportional, integral, integral proportional and proportional integral derivative controllers and compensating elements; knowledge about modeling of transient processes using MATLAB software.\r\n\nOutcome: Not Provided" . . "Hybrid"@en . "FALSE" . . "Master of Aerospace Engineering"@en . . "https://vilniustech.lt/studies/study-programmes/master-study-programmes/317411?element_id=317413&sp_id=72_pr_2023&f_id=460&qualification=a%3A1%3A%7Bi%3A0%3Bs%3A1%3A%22M%22%3B%7D" . "120"^^ . "Hybrid"@en . "Hybrid learning approach is applied in this study programme. Hybrid learning is an educational model where some students attend class in-person, while others join the class virtually from home. \nCuriosity, desire to construct, freedom to put your personal ideas into practice and develop a start-up - all these features fit under this master-degree study program. It is like a two-year long hackathon, where the science-based design of a prototype will become the major source of future skills. We see innovation in aeronautics as an interdisciplinary product, thereby your knowledge in the fields of electronics, mechanics, IT, transportation, aeronautics and any other branch of engineering will facilitate your team and provide the competitive advantage over the others. Everyone who seeks their education at the aeronautical engineering Master’s level should have background knowledge in aerodynamics, aircraft structures, mechanics and aircraft engine types. These courses are available online before the study process begins. All were prepared by the best technical universities in world including MIT, and TU Delft. The students of the current study program will develop the prototypes in teams, therefore individuals who seek like-minded partners or the groups with a unified idea are welcome to apply. The teams will be provided with the consultations by the experienced businesspeople, light on the start-up development will be shed by qualified mentors and the „Futurepreneurs“ programme. \n\nThe aim of the study programme is to prepare highly qualified specialists who have acquired interdisciplinary and novel knowledge in the field of aeronautical engineering. These specialists are capable of constructing satellite systems and their elements, overcoming engineering challenges while developing industrial UAVs, conducting interdisciplinary research and applying the obtained results to prototype and innovation development. \n\nExperts and experienced scientists will help to put the project into practice in one of these fields: drones (UAVs), nano-satellites, 3D printing in aeronautics, military innovation in aeronautics. \n\nOutcome:\nGoals:\r\n1. Educate highly skilled aviation mechanics specialists, having interdisciplinary and latest knowledge of aeronautics engineering study field and able to design aircraft cocpit installation and improvement modifications by coordinating technical solutions with the manufacturing institution, applying engineering methods and carrying out interdisciplinary research, to plan and supervise the work of aircraft technical maintenance personnel, employ life-long learning in order to participate in the global aviation engineering market.\r\n\r\nResults:\r\n1. Knowledge\r\nWill know, understand and be able to apply fundamental knowledge of natural sciences and mathematics as well as principles of aeronautics engineering study field creatively and will be able to use them to solve new engineering problems.\r\nWill know and be able to critically assess the latest developments in engineering.\r\n\r\n2. Research skills\r\nWill be able to plan and carry out analytical, modelling and experimental research, critically assess its data and draw conclusions.\r\nWill be able to analyse the applicability of new ways and methods for solving aerospace engineering problems\r\n\r\n3. Engineering analysis\r\nWill be able to solve non-standard and incompletely defined problems, discern standard and non-standard problems in aerospace engineering, clearly formulate them, and apply innovative methods for solving specific problems and implement solutions.\r\nWill be able to use their knowledge and understanding to solve practical problems in aerospace engineering by applying theoretical models and research methods, including mathematical analysis, numerical modelling, and experimental methods.\r\n\r\n4. Engineering design\r\nWill be able to apply the acquired knowledge and understanding to solve non-standard problems in aerospace engineering, among them problems related with other scientific and engineering fields.\r\nWill be able to implement innovative and original ideas and methods in aerospace engineering, make engineering decisions when confronted with multi-faceted, technically incomplete problems that are not accurately defined.\r\n\r\n5. Personal and social abilities\r\nWill be able to work effectively both individually and in a team, be a leader of a team composed of members of various study fields and levels, to communicate with the engineering community and the general public both on a national and international level.\r\nWill have a holistic understanding of the impact of engineering activity on the society and environment, adhere to the norms of professional ethics and engineering activity, understand the responsibility for it, will have a deep understanding of project management and business aspects, also of the links between technical solutions and economic consequences.\r\n\r\n6. Engineering practice ability\r\nWill be able to integrate knowledge from different study fields and solve multi-faceted engineering problems, to select appropriate engineering equipment and software.\r\nWill have knowledge of engineering activity organisation principles, understand interaction between its links, will be able to assess engineering activity in view of occupational health and safety and environmental aspects, and have knowledge of ethical, environmental, and commercial requirements for engineering activity."@en . . . . . . . . "2"@en . "FALSE" . . . "Master"@en . "Thesis" . "5157.00" . "Euro"@en . "5410.00" . "None" . "No Job Prospects Listed"@en . "no data" . "TRUE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . "Lithuanian"@en . . "Antanas Gustaitis' Aviation Institute"@en . .