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Search results for: recycling%20methods
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Ecological Aspects of Polymer Package Recycling
e-Learning CoursesEcological Aspects of Polymer Package Recycling dr hab. inż. Justyna Kucińska-Lipka
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Polyolefins: from cradle to grave.
e-Learning CoursesThe course will consist of lectures followed by discussions. Using the obtained knowledge, students will be asked to work out a plan selecting catalysts, production process and recycling process for a specific type of polyolefin for a selected application.
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2022 Ecological aspects of polymer package recycling
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2023 Ecological aspects of polymer package recycling
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Recykling Tworzyw Polimerowych - WYKŁAD / LABORATORIUM
e-Learning CoursesKierunek: Inżynieria Materiałowa (Studia II Stopnia - Semestr II) Specjalność: Inżynieria Materiałów Polimerowych Rok Akademicki: 2021/2022 WYKŁAD: prof. dr hab. inż. Janusz Datta - E-MAIL: janusz.datta@pg.edu.pl LABORATORIUM: dr inż. Marcin Włoch - E-MAIL: marcin.wloch@pg.edu.pl
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Recykling tworzyw polimerowych (PG_00039687) - WYKŁAD / LABORATORIUM
e-Learning CoursesKierunek: Inżynieria materiałowa (Stuia II Stopnia)Specjalność: Inżynieria materiałów polimerowychRok akademicki: 2022/2023Odpowiedzialny za przedmiot: prof. dr hab. inż. Janusz Datta
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Recykling tworzyw polimerowych (PG_00039687) - WYKŁAD + LABORATORIUM - 2023/2024
e-Learning CoursesKierunek: Inżynieria Materiałowa (Studia II Stopnia) Specjalność: Inżynieria Materiałów Polimerowych Rok akademicki: 2023/2024 WYKŁAD: prof. dr hab.inż. Janusz Datta (Chemia C, p.201) LABORATORIUM: dr inż. Marcin Włoch (Chemia C, p.204)
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2023 Ekologiczne aspekty recyklingu opakowań polimerowych
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2022 Ekologiczne aspekty recyklingu opakowań polimerowych
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Recykling materiałów polimerowych IM I st., VII sem. 2022/2023
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Numerical Methods
e-Learning CoursesNumerical Methods: for Electronics and Telecommunications students, Master's level, semester 1 Instructor: Michał Rewieński, Piotr Sypek Course description: This course provides an introduction to computational techniques for the simulation and modeling of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by various applications including modeling of integrated circuits,...
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Research Methods
e-Learning CoursesThis course on research methods is intended for 5th semester students of BiM Programme.
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Monte Carlo Methods
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
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Qualitative Research Methods
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Quantitative research methods
e-Learning CoursesQuantitative research methods - dr P. Paradowski
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FORECASTING - QUANTITATIVE METHODS
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ESynthesis methods of nanomaterials
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Microscopy methods in nanotechnology
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Lean Manufacturing, W, Mechatronika, IDE, sem. 03, letni 23/24 (PG_00062997)
e-Learning CoursesDevelopment of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.
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Lean Manufacturing, W, Energetyka, sem. 03, letni 23/24 (PG_00062998)
e-Learning CoursesDevelopment of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.
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Effective Project Management, DaPE, sem 1 sem 3, 2022/2023 - Nowy
e-Learning CoursesThe aim of the course is to familiarize students with modern methods of effective project management, to present principles, methods and tools supporting decision-making and control processes with particular emphasis on individualized approach to the specifics of the project and its surroundings.
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[NF] Physical Research Methods I: Computational methods for transport phenomena
e-Learning Courses{mlang pl} Dyscyplina: NF Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: Prof. Maurizio Dapor Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: NF Obligatory course for 1st and 2nd-year PhD students Academic teacher: Prof. Maurizio Dapor Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}
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Materials science. Quantum particle approach. 2022.
e-Learning Coursesquantum methods for materials and molecular modeling.
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Material Science Quantum Particle Approach 2021
e-Learning Coursesquantum methods for materials and molecular modeling.
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Architectural and Urban Project I 2023/24
e-Learning CoursesOLD CITY GDANSK - CONNECTING SPACE Every year the main goal of the I-st Master degree semester is to learn the ways of architectural and urban revitalization of existing urban spaces that require it by implementing specific design activities - combining and redefining space, architectural recycling, mixing functions, etc. This year, the design studio course is in the students’ competition form organized with Gdansk City Authorities....
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Introduction to Numerical Simulation
e-Learning CoursesCourse description: This interdisciplinary course provides an introduction to computational techniques for the simulation of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by applications drawn from electrical, mechanical, and chemical engineering. Topics include: mathematical formulations of simulation problems; sparse direct and iterative linear system solution techniques,...
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Process Diagnostics - summer semester 2023/2024
e-Learning CoursesFamiliarization with modern methods of industrial process diagnostics
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Monte Carlo Methods - 2023/24
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
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Computational Intelligence - 2023
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence 2022
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence - sem. 2022/23
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence - 2023/2024 sem.
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Computational Intelligence - sem. 2023/2024
e-Learning CoursesWidening the students knowledge about the selected methods of artificial intelligence
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Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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Echolocation Methods - 2022/23
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[ILiT, IŚGiE] Numerical Methods
e-Learning Courses{mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: prof. dr hab. inż. Paweł Kłosowski Liczba godzin: 30 Forma zajęć: wykład/laboratoria {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic...
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[IMe] Modern optimisation methods
e-Learning Courses{mlang pl} Dyscyplina: Inżynieria Mechaniczna Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: dr hab. inż. K. Tesch Liczba godzin: 20h Forma zajęć: wykład {mlang} {mlang en} Discipline: Mechanical Engineering Obligatory course for 1st year PhD students Academic teacher: dr hab. inż. K. Tesch Total hours of training: 20 teaching hours Course type: lecture {mlang}
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Numerical Methods - Data Engineering
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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[IMe] Modern optimisation methods
e-Learning Courses{mlang pl} Dyscyplina: Inżynieria Mechaniczna Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: Prof. dr hab. inż. K. Tesch Liczba godzin: 20h Forma zajęć: wykład {mlang} {mlang en} Discipline: Mechanical Engineering Obligatory course for 1st year PhD students Academic teacher: Prof. dr hab. inż. K. Tesch Total hours of training: 20 teaching hours Course type: lecture {mlang}
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[IMe] Modern optimisation methods
e-Learning Courses{mlang pl} Dyscyplina: Inżynieria mechaniczna (PG+IMP PAN) Zajęcia obowiązkowe Prowadzący: dr hab. inż. Krzysztof Tesch, prof. uczelni Liczba godzin: 20 h Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering (GUT + IFFM PAS) Obligatory course Academic teacher: dr hab. inż. Krzysztof Tesch, prof. uczelni Total hours of training: 20 teaching hours Course type: lecture {mlang}
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Echolocation Methods - 2023/24
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Numerical Methods 2023/2024
e-Learning CoursesJest to pomocnicza formatka do tworzenia kursów wspomagających nauczanie stacjonarne na WILiŚ. Formatka została utworzona i udostępniona przez CNE. Uwaga: W celu wykorzystania i modyfikacji należy: 1) skopiować kurs wzorcowy 2) dopiero w kopii nanosić zmiany.
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Methods of structural studies for GT
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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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Applications of AI methods in enterprise
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Passive Methods in Heat Transport
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Physical testing methods of materials
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Qualitative methods for market research
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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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Surrogate methods in system engineering
e-Learning Courses{mlang pl} Dyscyplina: Automatyka, Elektronika i Elektrotechnika Zajęcia fakultatywne dla doktorantów II roku Prowadzący: dr hab. inż. Adrian Bekasiewicz Liczba godzin: 15 h Forma zajęć: wykład {mlang} {mlang en} Discipline: control, electronic and electrical engineering Facultative course for 2nd year PhD students Academic teacher: dr hab. inż. Adrian Bekasiewicz Total hours of training: 15 teaching hours Course...