. "Computer Graphics, Computer Simulation, Virtual Reality"@en . . . . . . . . . . . . . . . . . . . . . . . . . . "Basics of monte carlo simulations"@en . . "5" . "LEARNING OUTCOMES\nAfter completion the course you will be able:\n\nGenerate uniform and non-uniform random numbers by using different methods\nApply pseudo- and quasirandom numbers for different tasks\nPerform Monte Carlo integration of multidimensional functions\nEstimate the statistical error of the mean for different methods\nGenerate the synthetic data to improve on estimation of the average and the error of the mean\nImprove the convergence of the Monte Carlo integration result using different methods\nCreate your own Game of life by using the Cellular automata principle" . . "Presential"@en . "FALSE" . . "Test, analysis, simulation"@en . . "7" . "no data" . . "Presential"@en . "TRUE" . . "Flow and simulation of subsurface processes"@en . . "9" . "In this module, students acquire the necessary tools and knowledge to accurately model the building blocks of subsurface\nreservoirs and to accurately model flow of fluids/energy through these subsurface reservoirs. After completing this module, students will be able to:\nEvaluate how to build process and stochastic reservoir models and choose appropriate rock properties or facies distribution [ILO\nA,C]\nAnalyse the physics and develop an analytical model for two-phase flow, thermal processes and poroelasticity through porous\nmedia with different assumptions and for different applications \nDesign a stable and consistent numerical method for modelling of flow and transport in porous rocks \nImplement and create the three model types (reservoir model, analytical two-phase flow, numerical flow model) with geo-energy\nrelated software and codes\nApply the models to geo-energy related test cases and analyse the solutions with respect to the role of uncertainties, sensitivities,\nrelationships and consequences critically for the different test cases \nWork as a team on subject related problems and report findings and interpretations, including codes and choices made, in a\nstructured and consistent way." . . "Presential"@en . "TRUE" . . "Technical graphics"@en . . "3" . "Learning outcomes\nLearning outcomes: after passing the course student:\n1. Knows the ISO and ANSI standards for compiling of technical drawings;\n2. Is able to make a drawing consisting of all necessary views, sections and dimensions from real detail with 15 - 25 dimensions;\n3. Has the basic knowledge of SolidWorks software and is able to use it for creating simple model and drawing files;\n4. Is able to solve creatively modelling assignments, which are not precisely formulated;\n5. Is able to divide three-dimensional objects into smaller parts and use it for determining the logic of model building in SolidWorks software.\nBrief description of content\nDuring the course students will be involved into the principles of classical engineering geometry, designing and drafting processes. They will also get an overview of selected ISO and ANSI standards needed for preparing production drawings.SolidWorks software is installed at the computer lab W. Ostwaldi Str 1. This software will be introduced to students and they should use it for performing their assignments. Communication with students, in addition to the lectures, is organized on the Moodle platform." . . "Presential"@en . "TRUE" . . "Technical graphics II"@en . . "3" . "Learning outcomes\nAfter completion of this course the student:\n1. Is able to compose assembly models and drawings consisting of fits and tolerances;\n2. Knows the basic manufacturing processes of metal;\n3. Is able to use mathematical modelling and MS Excel for design tasks;\n4. Is able to solve modelling assignments on the level of the SolidWorks CSWA certification;\n5. Has practical and creative problem-based learning experience in team for solving engineering tasks.\nBrief description of content\nStudents are asked to compile SolidWorks part and drawing files of real details with different complexity in the form of independent work and teamwork. For solving design tasks, students will be introduced to the standards of compiling assembly drawings consisting of threads and fits. Two problem-based creative assignments for three-member teams are taken from real life. Here students must find a creative solution, execute the overall design and present their design in class\nStudents with high academic achievement level will get the access to sit an on-line SolidWorks CSWA certification exam." . . "Presential"@en . "TRUE" . . "Modelling and simulation"@en . . "5" . "no data" . . "Presential"@en . "TRUE" . . "Basics of engineering graphics"@en . . "3" . "Basics of preparing and knowing how to read engineering technical\ndocumentation. Methods of representing geometric figures in the\nplane based on parallel and median projection. Standardization in\nthe field of technical documentation. Learning about basic software\nsupporting the process of developing technical documentation." . . "Presential"@en . "TRUE" . . "Engineering graphics"@en . . "3" . "CAD/CAM/CAE systems - organisation and structure. Performing\n2D drawings. Modelling solids based on primitives and NURBS\ncurves. Modelling solid assemblies using standards. Performing\ndetailed drawings (2D) from solid components and assembly draw-\nings (2D) from solid subassemblies. Introducing changes to 2D\ndrawings and solids." . . "Presential"@en . "TRUE" . . "Engineering graphics"@en . . "2" . "Creating the orthogonal projection of spatial geometrical forms onto adequate plane of projection.\n Learning of the spatial imagination." . . "Presential"@en . "TRUE" . . "Engineering graphics - cad 1"@en . . "2" . "Making views of machine’s element basing on the real object according to the rules of InternationalStandards (ISO) and the technical drawing." . . "Presential"@en . "TRUE" . . "Engineering graphics - cad 2"@en . . "2" . "Creating the technical drawing of machine’s element and assembly drawing by hands and using the\n 2D-CAD system. Introduction to the 3D-CAD system (Drafting Module). Making plain paper technical documentation basing on the given spatial model created by the use of 3D-CAD system." . . "Presential"@en . "TRUE" . . "modeling and simulation in earth sciences"@en . . "no data" . "no data" . . "no data"@en . "TRUE" . . "Engineering graphics I"@en . . "3" . "Technical drawing, rules for its implementation and applicable standards. Surveying drawing. Analog and digital form of graphic documents. Computer graphics: raster and vector forms, popular graphics formats, software used to create computer graphics. Applicable law regulations regarding maps and geodetic documents. Conventional signs used on the base map. The base map in the analog version and the numerical map. Design principles in CAD. Preparation of the project, setting the environment (units of measure, coordinates, boundaries, etc.), editing 2D graphics, cooperation with other editors (import, export), copying and printing the project." . . "Presential"@en . "TRUE" . . "Engineering graphics II"@en . . "2" . "Introduction to Microstation. Working with views (group management, saving, attributes). Design file configuration (colors, coordinate format, precision, locks, etc.). Introduction of basic drawing tools (lines, arcs, polygons, ellipses). Draw Precision Draw with AccuDraw and Snap Mode. Editing drawing objects (copy, rotate, scale, etc.). Measurements of drawing objects with the use of Microstation\ntools. Working with layers (element attributes, filters, layer manager). Text elements (creating and editing styles). Advanced techniques for modifying objects (trimming, lengthening, etc.). Working with \ncells (creating cells, cell libraries). Grouping of elements (chains and complex polygons, graphic groups). Reference files. Printing." . . "Presential"@en . "TRUE" . . "Simulation and design tools I"@en . . "6" . "Objectives and Contextualisation\nThis course has been created with a user perspective, oriented towards the acquisition of competences in the use of the CAD software tools that industry generally uses in the field of RF-FEM components manufacturing and Antennas, along with presence in the markets of communications infrastructures, sector of mobile communications, broadcasting, space sector or automotive between many others.\n\nThe use of the subject by the student will mean that this acquires new methodologies and skills for the efficient exploitation of software tools available in a wide variety of situations for the development of the profession.\n\n\nCompetences\nDevelop personal work habits.\nDevelop thinking habits.\nLearn new methods and technologies, building on basic technological knowledge, to be able to adapt to new situations.\nSelect and devise communication circuits, subsystems and systems that are guided or non-guided by electromagnetic, radiofrequency or optical means to fulfil certain specifications.\nWork in a team.\nLearning Outcomes\nContrast numerical and analytical results.\nDescribe the main methodologies of modelling and simulation, and choose the most suitable for the simulation of a certain subsystem.\nDevelop independent learning strategies.\nDevelop the capacity for analysis and synthesis.\nMeasure the parameters of a communication system on the basis of simulation results.\nUse software tools for electromagnetic and radiofrequency analysis.\nWork cooperatively.\n\nContent\n1. Introduction\n\n1.1. CAD tools based on Circuit Theory\n\n1.2. CAD tools based on Field Theory\n\n2. Electromagnetic simulation software\n\n2.1. FEKO: the method of moments\n\n2.2. ADS-Momentum: the method of moments\n\n2.3. HFSS: finite element method." . . "Presential"@en . "FALSE" . . "Numerical simulation techniques"@en . . "6" . "Specific Competition\nCE8 - Know how to program, at least, in a relevant language for scientific calculation in Astrophysics\nCE11 - Know how to use current astrophysical instrumentation (both in terrestrial and space observatories) especially that which uses the most innovative technology and know the fundamentals of the technology used\nGeneral Competencies\nCG1 - Know the advanced mathematical and numerical techniques that allow the application of Physics and Astrophysics to the solution of complex problems using simple models\nBasic skills\nCB6 - Possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context\nCB7 - That students know how to apply the knowledge acquired and their ability to solve problems in new or little-known environments within broader contexts\nCB8 - That students are able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments\nCB10 - That students possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous\nExclusive to the Theory and Computing Specialty\nCX2 - Apply knowledge of computer science, physics, astrophysics and computing to build numerical simulations of astrophysical phenomena or scenarios\n6. Subject contents\nTheoretical and practical contents of the subject\nProfessor: Dr. Christopher BA Brook\nModule 1: Review of the principles of galactic dynamics. Introduction of methods to solve the equations of motion of N-body systems. Introduction of the tree method Practices: Using publicly available simulation codes to form galaxies. Create initial conditions. Simulation and analysis of a galaxy formation model.\n\nProfessor: Dr. Claudio Dalla Vecchia\nModule 2: Schemes and numerical codes. Convergence and stability of a numerical code. Practice: Simulate N-body interactions. Create an N-body code and apply it to model the spread of viruses to plantation systems and galaxies.\n\nProfessor: Dr. Isaac Alonso Asensio\nModule 3: Elementary concepts. Gas equations. Discretization of the equations through finite differences. Conservative form of the gas equations; CFL criteria. Practice: construction of a one-dimensional code to solve the gas equations and basic application." . . "Presential"@en . "FALSE" . . "Dynamics modelling and simulation"@en . . "15.00" . "NA" . . "Presential"@en . "TRUE" . . "Experimental simulations"@en . . "4.00" . "Course Contents Experimental simulation (in aeronautics) deals with the systematic approach required to design and perform good experiments\nsimulating flight. It looks at the deficiencies of scaling real flight into a ground testing simulation and defines the validity of\nsimplifications required for testing. Particular attention is given to the simulation of aircraft propulsion and noise generation in\nground testing facilities.\nStudy Goals At the end of this course, the student will be able to:\n- Reduce a simulation challenge to its dominant nondimensional scaling parameters\n- Identify the necessary hardware required for ground based testing of the identified parameters\n- Create an effective test plan for a low-speed wind-tunnel test to satisfy predefined measurement objectives\n- Reflect on the possibilities of and limitations to obtaining data from wind-tunnel tests to describe aircraft behavior in free flight\n- Evaluate the power integration effects on aircraft performance and noise for a propeller-driven aircraft" . . "Presential"@en . "TRUE" . . "Cfd: large eddy simulation"@en . . "3.00" . "no data" . . "Presential"@en . "FALSE" . . "Piloted flight simulation"@en . . "4.00" . "Course Contents Lecture topics, not necessarily in chronological order\n1) Introduction to piloted flight simulation, including fidelity considerations\n2) Use of piloted flight simulation, including training and qualification\n3) Simulator sub-systems\n4) Modelling of vehicle dynamics\n5) Real-time software engineering\n6) Distributed simulation\n7) Motion bases, including cueing\n8) Visual systems, including image generation\n9) Control loading\nStudy Goals 1) You can explain the use cases of piloted flight simulators and the resulting (sub-)system requirements.\n2) You can explain the working principles of piloted flight simulator subsystems (vehicle model, real-time and distributed\nsoftware, motion system, visual system, and control loading).\n3) You can identify the design options for a flight simulators functions, distinguish strong and weak points, as well as relate\nthese to the simulators intended use.\n4) You can identify, analyze, and evaluate piloted flight simulator systems in an operational context, e.g. in a flight training\ncentre or a simulator manufacturing plant.\n5) You can identify and explain the different ways in which the fidelity of a simulator (system) can be evaluated (physical,\nperceptual, behavioural).\n6) You can use common methodologies used for assessing simulator fidelity in industry (QTG, OMCT, numerical stability)." . . "Presential"@en . "TRUE" . . "Real-time distributed flight and space simulation"@en . . "3.00" . "no data" . . "Presential"@en . "FALSE" . . "Simulation"@en . . "5.00" . "Learning Outcomes\nKnowledge of the terminology of discrete event simulation.\nAbility to analyze a physical system and to develop a simulation model.\nSimulation model transformation using simulation environments (programming languages, Crystal Ball, Arena).\nAbility of statistical analysis and explanation of simulation results.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nWork autonomously\nCourse Content (Syllabus)\nDesign, analysis and development of simulation, random numbers, random numbers generators and simulation sampling, statostocal analaysis of simulation results, Applications in industrial managementa and operational research. Practice on specialized simulation software." . . "Presential"@en . "TRUE" . . "Engineering systems modelling and simulation"@en . . "6.0" . "Simulation forms an important aspect in the design of UAVs. Such continuous-time systems can be simulated by means of the numerical solution of mathematical models. The module introduces simulation tools and numerical methods commonly used in aviation industry. It also considers the real-time application of simulation for hardware in the loop analysis and simulators for immersive training which will be demonstrated on a VR-based simulator." . . "Presential"@en . "TRUE" . . "Spatial simulation"@en . . "6" . "no data" . . "Presential"@en . "TRUE" .