Search results for: ARTIFICIAL INTELLIGENCE METHODS

• Artificial Intelligence

  e-Learning Courses

  • J. Dembski
  • M. Smiatacz

• Artificial intelligence

  e-Learning Courses

  • J. Dembski
  • M. Smiatacz

• L23_24 Artificial Intelligence in Healthcare

  e-Learning Courses

  • J. Rumiński

• Artificial Intelligence - Summer 2023/24

  e-Learning Courses

  • J. Dembski
  • A. Sobociński

• Computational Intelligence - 2023

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence 2022

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski
  • H. Kormański

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2022/23

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - 2023/2024 sem.

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2023/2024

  e-Learning Courses

  Widening the students knowledge about the selected methods of artificial intelligence

• Interactive Decision Making, Inżynieria Środowiska, Environmental Engineering, 2023/2024 (summer semester)

  e-Learning Courses

  • A. Jakubczyk-Gałczyńska
  • A. Siemaszko

  The course is designed for students of MSc Studies in Environmental Engineering (studies in Polish and English) Person responsible for the subject, carrying out lectures and tutorials: mgr inż. Agata.Siemaszko; agata.siemaszko@pg.edu.pl The person conducting the lectures and tutorials: dr inż. Anna Jakubczyk-Gałczyńska; anna.jakubczyk@pg.edu.pl The course is conducted using the Project-Based Learning (PBL) method. It provides...

• [Soft Skills] Smart metering - social risk perception and risk governance (2023/2024)

  e-Learning Courses

  • S. Potrykus
  • M. Jaskólski
  • A. Augusiak

  The aim of the course is to broaden the understanding of the risks associated with technology and to present the concept of social risk perception and risk management in the context of smart metering technology. In the current phase of technological development - called the Fourth Industrial Revolution - rapid and profound changes are creating new, particularly destabilizing threats. In the increasingly complex technological systems...

• Smart metering - social risk perception and risk governance (10h, 2 ECTS credits)

  e-Learning Courses

  • M. Galik
  • A. Klej

  The goal of the course is to broaden the understanding of technology-related risks and to present the concepts of social risk perception and risk governance in the context of smart metering technology. In current phase of technological development – known as the fourth industrial revolution – rapid and profound changes are setting up new and particularly destabilizing risks. In more and more complex technological systems that constitute...

• 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.

• Selected aspects of the design of artificial organs

  e-Learning Courses

  • P. Jasiński

  dla III stopnia EiT+IBM

• 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.

• 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.

• Business Intelligence IM 2022/2023

  e-Learning Courses

  • A. M. Trzaskowska

• Business Intelligence STAC 2023/2024

  e-Learning Courses

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence NSTAC 2023/2024

  e-Learning Courses

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence STAC 2022/2023

  e-Learning Courses

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence NSTAC 2022/2023

  e-Learning Courses

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence IM 2023/2024

  e-Learning Courses

  • A. M. Trzaskowska

• 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...

• Business Intelligence IM 2023/2024 - KOPIA

  e-Learning Courses

  • A. M. Trzaskowska

• Business Intelligence STAC 2023/2024 - KOPIA

  e-Learning Courses

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• Business Intelligence NSTAC 2023/2024 - KOPIA

  e-Learning Courses

  • A. M. Trzaskowska

  Przedmiot obligatoryjny dla kierunku Analityka Gospodarcza I stopień studiów, sem.5.

• 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 

• Web intelligence and its applications 2022/2023

  e-Learning Courses

  • N. Rizun
  • S. Ostrowski

• Web intelligence and its applications 2021/2022

  e-Learning Courses

  • N. Rizun
  • A. Ojo

• Qualitative Research Methods

  e-Learning Courses

  • K. Zięba

• FORECASTING - QUANTITATIVE METHODS

  e-Learning Courses

  • P. Paradowski

• 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

• [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