Search results for: METHODS OF ORDER REDUCTION

• Introduction to Numerical Simulation

  e-Learning Courses

  • M. Rewieński

  Course 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,...

• Baltic Smart Asset Management - Training Module

  e-Learning Courses

  • A. Rogala
  • P. Rybarczyk

  Baltic Smart Asset Management is an international project co-financed by the funds from Interreg South Baltic Programme 2014-2020. The aim of the project is to develop methods, transnational collaboration processes and knowledge about Smart Asset Management (SAM) for District Heating (DH) sector. The training module will help to spread the professional knowledge on new solutions and applications of SAM methods to promote data-driven...

• Numerical Methods

  e-Learning Courses

  • P. Sypek
  • M. Rewieński

  Numerical 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,...

• Research Methods

  e-Learning Courses

  • K. Zięba

  This course on research methods is intended for 5th semester students of BiM Programme.

• Quantitative research methods

  e-Learning Courses

  • P. Paradowski

  Quantitative research methods - dr P. Paradowski

• Monte Carlo Methods

  e-Learning Courses

  • J. Franz

  This 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.

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• Monte Carlo Methods - 2023/24

  e-Learning Courses

  • J. Franz

  This 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.

• Monte Carlo Methods - 2024/25

  e-Learning Courses

  • J. Franz

  This 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.

• Spectroscopy Methods in Nanotechnology 2023

  e-Learning Courses

  • A. Witkowska

  Course 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.

• Spectroscopy Methods in Nanotechnology 2022

  e-Learning Courses

  • A. Witkowska

  Course 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.

• Numerical Methods for Partial Differential Equations

  e-Learning Courses

  • M. Rewieński

  Course 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;...

• Multiscale Methods Summer School 2023

  e-Learning Courses

  • P. Rakowski
  • I. Kuzborska
  • J. Szostak
  • J. Franz
  • M. Chmielecki
  • J. Borucka
  • M. Franz

  Summer 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  

• [ILiT, IŚGiE] Numerical Methods

  e-Learning Courses

  • P. Kłosowski

  {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...

• METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

  e-Learning Courses

  • P. Paradowski

  METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

• Qualitative Research Methods

  e-Learning Courses

  • K. Zięba

• FORECASTING - QUANTITATIVE METHODS

  e-Learning Courses

  • P. Paradowski

• Mathematical methods in engineering

  e-Learning Courses

  • I. Lubowiecka

• Microscopy methods in nanotechnology

  e-Learning Courses

  • J. Karczewski

• ESynthesis methods of nanomaterials

  e-Learning Courses

  • M. S. Łapiński

• Microscopy methods in nanotechnology

  e-Learning Courses

  • J. Karczewski

• [NF] Physical Research Methods I: Computational methods for transport phenomena

  e-Learning Courses

  • K. Wiciak-Pawłowska
  • J. Franz

  {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}    

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • R. Jankowski
  • A. Żak

  {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....

• Echolocation Methods - 2022/23

  e-Learning Courses

  • I. Kochańska
  • D. Toboła
  • H. Lasota

• [IMe] Modern optimisation methods

  e-Learning Courses

  • K. Tesch

  {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}

• Numerical Methods - Data Engineering

  e-Learning Courses

  • R. Lech
  • P. Kurgan
  • G. Fotyga

  studia inżynierskie, informatyka i inżynieria danych

• Echolocation Methods - 2024/25

  e-Learning Courses

  • I. Kochańska
  • D. Toboła
  • H. Lasota
  • J. Rydzewska-Pieczonka

• [IMe] Modern optimisation methods

  e-Learning Courses

  • K. Tesch

  {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}

• [IMe] Modern optimisation methods

  e-Learning Courses

  • K. Tesch

  {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}

• Echolocation Methods - 2023/24

  e-Learning Courses

  • I. Kochańska
  • A. Tułaza
  • D. Toboła
  • H. Lasota

• Numerical Methods 2023/2024

  e-Learning Courses

  • Ł. Żmuda-Trzebiatowski
  • R. Sauer

  Jest 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.

• Passive Methods in Heat Transport

  e-Learning Courses

  • P. Szymański

• Physical testing methods of materials

  e-Learning Courses

  • L. Piotrowski
  • M. Chmielewski

• Qualitative methods for market research

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• Surrogate methods in system engineering

  e-Learning Courses

  • A. Bekasiewicz

  {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...

• Spectroscopy Methods in Nanotechnology 2024

  e-Learning Courses

  • A. Witkowska

• [soft skills] Didactic methods in the modern teaching process

  e-Learning Courses

  • R. Jankowski
  • J. Mytnik
  • A. Klej

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  dr hab. Joanna Mytnik, prof. PG, mgr Alina Guzik, Centrum Nowoczesnej Edukacji Liczba godzin: 15 Forma zajęć: wykład Kurs realizowany w zakładce Centrum Nowoczesnej Edukacji: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=10875 Na kurs należy zapisać się samodzielnie: https://enauczanie.pg.edu.pl/moodle/enrol/index.php?id=10875 Hasło...

• Methods of structural studies for GT

  e-Learning Courses

  • S. Makowiec

• Applications of AI methods in enterprise

  e-Learning Courses

  • R. Drozd
  • K. Flisikowski

• METHODS FOR QUALITY ASSURANCE AND CONTROL

  e-Learning Courses

  • P. Konieczka
  • A. Wasik

• Application of AI Methods in Enterprise

  e-Learning Courses

• Research Methods BiM 2022/23

  e-Learning Courses

  • M. Mcphillips
  • M. Zięba
  • K. Zięba

• Research Methods BiM 2023/24

  e-Learning Courses

  • M. McPhillips
  • K. Zięba
  • M. Licznerska

• [Soft Skills] Basic didactic methods

  e-Learning Courses

  • A. Klej
  • A. Męczkowska-Christiansen

  {mlang pl} Dyscyplina: soft skills Zajęcia obowiązkowe dla doktorantów I roku,  Prowadzący:  dr hab. Astrid Męczkowska-Christiansen Liczba godzin: 15 Forma zajęć:  {mlang} {mlang en} Discipline: soft skills Obligatory course for 1st-year PhD students Academic teacher: dr hab. Astrid Męczkowska-Christiansen Total hours of training: 15 teaching hours Course type:  {mlang}

• [Soft Skills] Basic didactic methods

  e-Learning Courses

  • A. Klej
  • A. Męczkowska-Christiansen

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:   Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: all disciplines Obligatory course for 1st-year PhD students Academic teacher:  Total hours of training: 15 teaching hours Course type: lecture {mlang} Soft skills Area I - didactic skills

• [ZiJ, EiF] Quantitative research methods

  e-Learning Courses

  • M. Gurczyńska
  • P. Paradowski

  {mlang pl} Dyscyplina: nauki o zarządzaniu i jakości, ekonomia i finanse Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  dr Piotr Paradowski Liczba godzin: 30 Forma zajęć: laboratories Kurs realizowany w zakładce WZiE: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=11366  Na kurs należy zapisać się samodzielnie: https://enauczanie.pg.edu.pl/moodle/enrol/index.php?id=11366  {mlang} {mlang en} Discipline:...

• [EiF, ZiJ] Quantitative research methods

  e-Learning Courses

  • P. Paradowski

  {mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  P. Paradowski, LIS&PG Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: P. Paradowski, LIS&PG Total hours of training: 30 teaching hours Course type: Laboratories {mlang}      

• Numerical Methods - Data Engineering - 2023

  e-Learning Courses

  • G. Fotyga

  studia inżynierskie, informatyka i inżynieria danych

• Numerical Methods - Data Engineering - 2024

  e-Learning Courses

  • G. Fotyga

  Inżynieria danych

• [IMa] Experimental Methods for Materials Characterisation

  e-Learning Courses

  • B. Bochentyn
  • M. Szkodo
  • J. Ryl
  • M. Gazda
  • A. D. Mielewczyk-Gryń

  {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,...