Search results for: ISOGEOMETRIC ANALYSIS, KIRCHHOFF–LOVE SHELLS, MULTIPLICATIVE SPLIT, NONLINEAR FINITE ELEMENT METHODS, SURFACE ELASTICITY, VISCOELASTICITY

• Finite Element Method

  e-Learning Courses

  • B. Sobczyk
  • M. Malikan

  Item 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

• Finite Element Method Applications - winter 2022/2023

  e-Learning Courses

  • W. Witkowski
  • A. Sabik
  • B. Sobczyk
  • S. Burzyński
  • Ł. Pyrzowski

  Finite Element Method Applications - summer 2022/2023 Seminar.

• Finite Element Method Applications - summer 2022/2023

  e-Learning Courses

  • W. Witkowski
  • A. Sabik
  • B. Sobczyk
  • S. Burzyński
  • Ł. Pyrzowski

  Finite Element Method Applications - summer 2022/2023 Seminar.

• Finite Element Method Applications - winter 2023/2024

  e-Learning Courses

  • W. Witkowski
  • A. Sabik
  • B. Sobczyk
  • Ł. Pyrzowski

  Finite Element Method Applications - winter 2022/2023 Seminar.

• Finite Element Method Applications 2023/2024 Summer

  e-Learning Courses

  • B. Sobczyk

  Finite Element Method Applications - summer semester 2023/2024 Seminar.

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• Finite Element Method - winter 2022/2023

  e-Learning Courses

  • W. Witkowski
  • B. Sobczyk
  • M. Miśkiewicz
  • Ł. Pyrzowski

  Civil Engineering, Studia Stacjonarne II Stopień, II semestr

• Finite Element Method - winter 2023/2024

  e-Learning Courses

  • W. Witkowski
  • B. Sobczyk
  • M. Miśkiewicz
  • Ł. Pyrzowski

  Civil Engineering, Studia Stacjonarne II Stopień, II semestr

• 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 

• 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,...

• 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;...

• Surface Science - 2021/2022

  e-Learning Courses

  • L. Piotrowski

  The goal of the subject is the presentation of basic problems resulting from he existence of interfacebetween material objects and its surroundings. Discussion of the consequences arising from the existenceof surface energy. Analysis of possible applications of surface phenomena in technology. Understanding ofproblems and benefits resulting from decreasing dimensions of objects with the special emphasis on thesemiconductor band...

• Surface Science - 2023/2024

  e-Learning Courses

  • A. Manohar
  • J. Ryl
  • L. Piotrowski
  • A. Tober

  The course is not a full time lecture but on the consultation/handouts. The consulations are held every two weeks. The course is based on the Springer textbook: Surface Science An Introduction Downloadable at: https://link.springer.com/book/10.1007/978-3-662-05179-5 (PG network or vpn access) The goal of the subject is the presentation of basic problems resulting from he existence of interfacebetween material objects...

• Methods of quantitative analysis (team project)

  e-Learning Courses

  • A. Kordalska

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Financial Analysis exercises - New

  e-Learning Courses

  • P. Figura

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• Financial Analysis exercises - New (copy)

  e-Learning Courses

  • K. Kubiszewska

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Theory of Elasticity and Plasticity

  e-Learning Courses

  • R. Sauer
  • I. Lubowiecka

  This course discusses the general theory of elastic and plastic material behavior of solids.

• Deep neural networks for data analysis

  e-Learning Courses

  • K. Draszawka

  The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

• Theory of Elasticity and Plasticity 2023

  e-Learning Courses

  • R. Sauer
  • I. Lubowiecka

  This course discusses the general theory of elastic and plastic material behavior of solids.

• Theory of Elasticity and Plasticity 2024

  e-Learning Courses

  • B. Łazorczyk
  • R. Sauer
  • M. Skowronek

  This course discusses the general theory of elastic and plastic material behavior of solids.

• Research Methods

  e-Learning Courses

  • K. Zięba

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

• Decisions Analysis 2023/2024

  e-Learning Courses

  • N. Rizun

  This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

• [AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• Surface Chemistry & Experimental Techniques

  e-Learning Courses

  wykłady prowadzone przez prof. G. Jerkiewicza

• 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.

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

  This is content to the subject: "Decisions Analysis" 22/23

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

  Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

• [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....

• Macroeconomic analysis

  e-Learning Courses

  • M. Olczyk

• Market analysis

  e-Learning Courses

  • A. Kozłowska

  Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

• Financial Analysis

  e-Learning Courses

  • K. Kubiszewska

• Decision analysis

  e-Learning Courses

  • B. Woliński

• 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.

• Theory of Elasticity and Plasticity - Civil Engineering, sem. I

  e-Learning Courses

  • M. Skowronek

  Preliminaries in Solid Body Mechanics focused on 2D and 3D engineering structures, in analytical approach

• Decision analysis (l/lab) winter 2020/21

  e-Learning Courses

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• 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.

• Selected aspects of modern X-ray structural analysis 2024

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Selected Aspects of Modern X-ray Structural Analysis 2023

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Fundamentals of microscopic analysis

  e-Learning Courses

  • A. Zieliński

• 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...

• Analiza decyzyjna/Decision analysis

  e-Learning Courses

  • B. Woliński

• Market Analysis 2022/23

  e-Learning Courses

  • A. Kozłowska

• Financial Analysis (lectures, 2022)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska