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Search results for: COMPUTER-AIDED ENGINEERING, DESIGN 30 AUTOMATION, FINITE-ELEMENT METHODS, GALERKIN METHOD, MICROWAVE 31 CIRCUITS, REDUCED BASIS METHODS, REDUCED ORDER SYSTEMS, SPURIOUS 32 MODES. 33 I
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Finite Element Method
e-Learning CoursesItem Name : Finite Element Method- Abaqus learning Field of study : Civil Engineering Faculty : Faculty of Civil and Environmental Engineering Education level : Second degree studies Form of studies : Full-time studies Year of studies : 1 Study semester : 2 Start of the semester : November 2021 Academic year of the course : 2021/2022 Form of classes : Lecture, Laboratory
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Finite Element Method Applications - winter 2022/2023
e-Learning CoursesFinite Element Method Applications - summer 2022/2023 Seminar.
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Finite Element Method Applications - summer 2022/2023
e-Learning CoursesFinite Element Method Applications - summer 2022/2023 Seminar.
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Finite Element Method Applications - winter 2023/2024
e-Learning CoursesFinite Element Method Applications - winter 2022/2023 Seminar.
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Finite Element Method Applications 2023/2024 Summer
e-Learning CoursesFinite Element Method Applications - summer semester 2023/2024 Seminar.
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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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Finite Element Method - winter 2022/2023
e-Learning CoursesCivil Engineering, Studia Stacjonarne II Stopień, II semestr
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Finite Element Method - winter 2023/2024
e-Learning CoursesCivil Engineering, Studia Stacjonarne II Stopień, II semestr
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Computer aided machine design
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Computer Aided Manufacturing Systems, PG_00054486, Summer semester 2021/2022
e-Learning CoursesGetting acquainted with the subject of computer-aided manufacturing as well as with the tendencies inmodern manufacturing
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Computer controlled systems - 2022/2023
e-Learning Coursesmateriały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...
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Numerical Methods for Partial Differential Equations
e-Learning CoursesCourse description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...
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Computer Aided Design - 2022/23
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Computer Aided Design 23/24
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Computer Aided Manufacturing Systems (M:320417W0)
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Computer aided machine design 2022/23
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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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Computer Aided Machine Design and Manufacturing (PG_00060425)
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Numerical Methods - Data Engineering
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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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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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...
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Quantitative research methods
e-Learning CoursesQuantitative research methods - dr P. Paradowski
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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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[IMe] Advanced numerical methods in mechanics
e-Learning Courses{mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....
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Numerical Methods - Data Engineering - 2023
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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Numerical Methods - Data Engineering - 2024
e-Learning CoursesInżynieria danych
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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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[ILiT, IŚGiE] Mathematical methods in engineering
e-Learning Courses{mlang pl} Dyscyplina: ILiT, IŚGiE Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: P. Kłosowski Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: ILiT, IŚGiE Obligatory course for 1st-year PhD students Academic teacher: P. Kłosowski Total hours of training: 15 teaching hours Course type: lecture {mlang}
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[ILiT, IŚGiE] Mathematical methods in engineering
e-Learning Courses{mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: dr inż. Roger Sauer, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic teacher: dr...
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Mathematical Methods in Engineering 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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Scientific methods of computer data analysis and presentation
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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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Computer Aided Design ERASMUS, sem. II _2018/19
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Modelling methods in design (CAD, FEM)
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Introduction to advanced numerical methods in engineering
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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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[AEiE] Introduction to advanced numerical methods in engineering
e-Learning Courses{mlang pl} Dyscyplina: automatyka, elektronika i elektrotechnika Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: dr hab. inż. Robert Bogdanowicz, prof. PG, dr inż. Grzegorz Fotyga, dr hab. inż. Piotr Kowalczyk, prof. PG, dr hab. inż. Rafał Lech, prof. PG, dr hab. inż. Paweł Wierzba, prof. PG Liczba godzin: 15 Forma zajęć: wykład Kurs realizowany w zakładce WETI: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=10126 Na...
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Multiscale Methods Summer School 2023
e-Learning CoursesSummer school on Multiscale Methods at Gdańsk University of Technology. 3. - 7. July: 10 hours online10. - 14. July: 10 hours online17. - 21. July: 10 hours online24. - 28. July: 30 hours online or in Gdańsk (you choose) Participation is for free! More info and registration: https://ftims.pg.edu.pl/en/science-app/summer-schools-2023/multi-scale-methods-summer-school
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Electrical Engineering [Design and Production Engineering][2022/23]
e-Learning CoursesAdditional teaching materials for Electrical Engineering for design and production engineering course at the Faculty of Mechanical Engineering - 4'th semester, undergraduate
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Electrical Engineering [Design and Production Engineering][2023/24]
e-Learning CoursesAdditional teaching materials for Electrical Engineering for Design and Production Engineering of the Faculty of Mechanical Engineering and Ship Technology course, conducted at the Faculty of Electrical and Control Engineering - 4'th semester, undergraduate
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Computer modeling and design of materials 2022/2023
e-Learning CoursesComputer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3
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Computer Controlled Systems Lab - 2023/2024
e-Learning CoursesComputer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...
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Computer Controlled Systems Lab - Nowy - Nowy
e-Learning CoursesComputer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...
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Computer Aided Manufacturing Systems (M:320417W0) (PG_00063000) 2023-24 Summer Semester
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Advanced methods in biosensing: fundamentals and applications
e-Learning CoursesThis course provides instruction in the basic science and engineering conceptsrequired to understand the design and application of biosensors. Different biosensorsystems are explored, ranging from electrochemical devices, through to optical orthermal systems. Instruction is also given in the general principles of sampling andanalysis, statistical presentation and manipulation of data. The primary focus will bethe physics of biomolecule...
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Systems Software Design 1
e-Learning CoursesSystems Software Design
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Computer Aided Manufacturing Systems (M:320417W0) Mechatronika sem. 1, 2022/2023 lato
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METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)
e-Learning CoursesMETHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski
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[IMa] Experimental Methods for Materials Characterisation
e-Learning Courses{mlang pl} Dyscyplina: inżynieria materiałowa Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: A. Mielewczyk-Gryń, M. Szkodo, B. Bochentyn, J. Ryl Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: materials engineering Obligatory course for 1-st and 2nd-year PhD students Academic teachers: M. Gazda, A. Lisowska-Oleksiak, A. Mielewczyk-Gryń, R. Bogdanowicz, T. Klimczuk, Ł. Piszczyk,...