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Search results for: VARIABLE-FIDELITY SIMULATIONS
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Monte Carlo simulations
e-Learning CoursesVirtual platform for the project "Monte Carlo simulations of energetic electrons and positrons in condensed matter".
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2022 MICROSCOPY IN ENVIRONMENTAL MONITORING -lecture - Nowy
e-Learning CoursesThe online repository will be used to teach students by presenting them lectures about variable aspects of microscopy techniques used in environmental monitoring.
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2024 Microscopy in Environmental Monitoring
e-Learning CoursesThe online repository will be used to teach students by presenting them lectures about variable aspects of microscopy techniques used in environmental monitoring.
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Theoretical Principles of Nanotechnology 2022/2023
e-Learning CoursesThis is the webpage for Theoretical Principles of Nanotechnology for (Nanostructures and computer simulations in material science)
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Spectroscopy Methods in Nanotechnology - laboratory 2022
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.
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Spectroscopy Methods in Nanotechnology - laboratory 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.
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Introduction to quantum mechanics 2022/2023
e-Learning CoursesIntroduction to quantum mechanics, kierunek: Nanotechnologia, specjalność: Nanostructures and computer simulations in material science, II stopień, semestr 1
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Introduction to quantum mechanics 2024/2025
e-Learning CoursesIntroduction to quantum mechanics, kierunek: Nanotechnologia, specjalność: Nanostructures and computer simulations in material science, II stopień, semestr 1
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Diploma seminar - 2022
e-Learning CoursesCourse "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.
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Diploma seminar - 2023
e-Learning CoursesCourse "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.
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Spectroscopy Methods in Nanotechnology 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.
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Team Strategies - sem. 2022/23
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
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Spectroscopy Methods in Nanotechnology 2022
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.
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Team Strategies - sem. 2023/24
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
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Team Strategies - sem. 2024/25
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
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DAYLIGHT IN ARCHITECTURE (Elective Project I: MSc term 1) - 23-24
e-Learning CoursesThe objectives of this course are: To familiarize students with the role and importance of daylight in shaping building spaces and interiors. To learn about the basics of daylight simulations in the context of complex design decisions and for LEED and BREEAM, integrated design purposes. Proposed assignments 1 & 2: 1. Daylight analysis exterior, the interior of the iconic building (sunlight provision, daylight factor, and...
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Daylight in Architecture 2022/23
e-Learning CoursesTutor: Professor Claudia Naves David Amorim (University of Brasilia) Project: 60 h (lectures + online platform + individual consultations) With a support of e-platform NLITED educational content; http://lms.nlited.eu/, Students will become familiar with the different methods of daylight assessment within the built environment. Innovative daylight design is understood as a better user-centred and energy-efficient design strategy. The...
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Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)
e-Learning CoursesModelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...
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Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)
e-Learning CoursesModelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...