Search results for: RECTIFICATION CORRECTIONS FOR CRANE RAIL AXES

• Modeling Methodologies for Environment 22/23

  e-Learning Courses

  • J. Mąkinia
  • P. Zima

  Zrozumienie procesów które mają wpływ na migrację i przemiany zanieczyszczeń w środowisku (ze szczególnym uwzględnieniem wód powierzchniowych). Zajęcia dotyczą podstaw i zasad budowy modeli jakości wody oraz służą pokazaniu jak te modele mogą być wykorzystywane do rozwiązywania problemów w inżynierii środowiska.

• English for International Students Group 2

  e-Learning Courses

  • K. Lis

• 2024 Installations for Architects kopia 1

  e-Learning Courses

  Installations for architects is a set of meetings aimed to broaden students understanding of technical aspects of architecture.

• Architectural project V Design for all

  e-Learning Courses

  • J. Cudzik
  • D. Sędzicki
  • M. Gawdzik

  This course centers on designing a modern hotel/student dormitory incorporating additional ground-floor services, such as restaurants, shops, and conference spaces. Students will tackle the challenge of creating a dynamic and flexible design responsive to the urban context and sustainability goals while using advanced conceptual tools such as artificial intelligence.This course aims to guide students in designing a hotel that serves...

• METHODS FOR QUALITY ASSURANCE AND CONTROL

  e-Learning Courses

  • P. Konieczka
  • A. Wasik

• English for International Students Group 1

  e-Learning Courses

  • K. Lis

• Information meeting for PhD students 23

  e-Learning Courses

  Information meeting on 18.12.2023 1st-year PhD students

• Summer course English for Future Engineers

  e-Learning Courses

  • M. Strach-Drabina

• English for International Students Group 3

  e-Learning Courses

  • K. Lis

• Placement Test – English for International Students

  e-Learning Courses

  • K. Lis
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• 2024 Installations for Architects kopia 5

  e-Learning Courses

  Installations for architects is a set of meetings aimed to broaden students understanding of technical aspects of architecture.

• ENGLISH FOR ENGINEERS [ET][2020/21]

  e-Learning Courses

• 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:...

• Health and safety training for students

  e-Learning Courses

  • I. Ziemba-Filip
  • M. Orepuk-Templin
  • M. Sokołowski

  Health and safety training is aimed at all newcoming students of Gdańsk University of Technology.

• 2024 Installations for Architects kopia 4

  e-Learning Courses

  Installations for architects is a set of meetings aimed to broaden students understanding of technical aspects of architecture.

• 2024 Installations for Architects kopia 6

  e-Learning Courses

  Installations for architects is a set of meetings aimed to broaden students understanding of technical aspects of architecture.

• Recykling Tworzyw Polimerowych - WYKŁAD / LABORATORIUM

  e-Learning Courses

  • P. Kosmela
  • P. Parcheta-Szwindowska
  • E. Głowińska
  • Ł. Zedler
  • M. Włoch
  • J. Datta
  • Ł. Piszczyk

  Kierunek: 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

• ENGLISH FOR ENGINEERS I [Niestacjonarne][2020/21]

  e-Learning Courses

  • M. Grygiel

• [IMa] Experimental Methods for Materials Characterisation - 2024

  e-Learning Courses

  • T. Klimczuk
  • N. A. Wójcik
  • R. Bogdanowicz
  • M. Strankowski
  • M. Sobaszek
  • J. Karczewski
  • M. Gazda
  • S. Molin

  {mlang pl} Dyscyplina: inżynieria materiałowa Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:    R. Bogdanowicz, J. Karczewski, T. Klimczuk, S. Molin, M. Strankowski, N. Wójcik,  Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: materials engineering Obligatory course for 1-st and 2nd-year PhD students Teachers: R. Bogdanowicz, J. Karczewski, T. Klimczuk, S. Molin, M. Strankowski, N....

• Introductory modeling for decision-making using AMPL

  e-Learning Courses

  • J. Szostak
  • A. Felt

  Introductory modeling for decision-making using AMPL

• Robotics for human health and performance 03.2022

  e-Learning Courses

  • W. Sieklicki

  This course is to provide knowledge in area of biomechanics, necessary to design instrumentation for human health and performance, and automatics necessary to design simple instrumentation as well as about human-robot interface.

• ENGLISH FOR ENGINEERS I [Niestacjonarne][2020/21]

  e-Learning Courses

  • M. Grygiel

• Digital Technologies for Business Communication 2022/2023

  e-Learning Courses

  • S. Wilczewski
  • S. Ostrowski

• ENGLISH FOR ENGINEERS II [Niestacjonarne][2020/21]

  e-Learning Courses

  • M. Śliwiński
  • M. Grygiel
  • J. Zalewski
  • K. Mazurowska

• MATERIALS FOR ENERGY STORAGE AND CONVERSION DEVICES

  e-Learning Courses

  • A. Lisowska-Oleksiak

• [08.04.2024] Information meeting for Doctoral School candidates

  e-Learning Courses

  Information meeting on 08.04.2024 Doctoral School candidates

• Digital Technologies for Business Communication 2023 2024

  e-Learning Courses

  • S. Wilczewski

• Frameworks and tools for data engineers 2025_2026

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

• eNauczanie - introductory training for students - 2020/2021

  e-Learning Courses

  • A. M. Dąbrowicz-Tlałka

  eNauczanie - introductory training for students - 2020/2021

• [03.04.2023]Information meeting for Doctoral School candidates

  e-Learning Courses

  • M. Gurczyńska
  • R. Jankowski
  • M. Bagiński
  • M. Mrozowski

  Information meeting on 03.04.2023 Doctoral School candidates

• Digital Technologies for Business Communication 2024 2025

  e-Learning Courses

  • S. Wilczewski

• [21.12.2023] Ask Me Anything for PhD students

  e-Learning Courses

  Ask Me Anything - meeting on 21.12.2023  PhD students

• Materials for energy storage and conversion devices

  e-Learning Courses

  • A. Lisowska-Oleksiak
  • A. Nowak

   lecture course (Eng) 15h

• Modeling projects for decision-making using AMPL

  e-Learning Courses

  • J. Szostak
  • A. Felt

  Modeling projects for decision-making using AMPL

• Diploma Design, III MSc, English, KAMiUP, SAUP

  e-Learning Courses

  • K. Piątkowska

  Currently classes are held via electronic consultations. Leader: Ksenia Piatkowska, Ph.D. Dipl. Ing. Arch. e-mail consultations: ksepiatk@pg.gda.pl

• Architectural & Urban Heritage 2021/2022

  e-Learning Courses

  • J. Szczepański
  • M. Sołtysik
  • A. Orchowska
  • R. Hirsch
  • Ł. Bugalski

  Participation in the course ARCHITECTURAL & URBAN HERITAGE gives an opportunity of knowing political, economic, and cultural issues of Polish Architecture in the 19th and 20th century. This period includes the fall of feudalism, the flourish of the industrial era, the birth of modernism, two totalitarian systems, and the rebuilding of Poland after II World War. Mentioned circumstances caused deep changes which gave a strong...

• Physical Chemistry for Green Technologies summer 2021/22

  e-Learning Courses

  • A. Kloskowski
  • M. Śmiechowski

  Physical Chemistry subject for Green Technologies, Semester IV

• Materials for energy storage and conversion devices 22_23

  e-Learning Courses

  • A. Lisowska-Oleksiak

• 2022 Water treatment for consumption and industrial purposes

  e-Learning Courses

  • I. E. Kłosowska-Chomiczewska

• Anna Soczyńska, Polish for Erasmus, Monday, 22/23z

  e-Learning Courses

  • A. Soczyńska
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Architectural project V. Design for all 2022/23

  e-Learning Courses

  • D. Sędzicki
  • M. Gawdzik

  SEMESTER V - ACADEMIC YEAR 2022/23 ARCHITECTURAL PROJECT V CHAIR OF URBAN ARCHITECTURE AND WATERSCAPES The course is design by : Dr. eng. arch. Marek Gawdzik            m.gawdzik@archplus.gda.pl mgawd@pg.gda.pl & MSc. eng.arch. Dominik Sędzicki       dominik.sedzicki@pg.edu.pl TOPIC The subject of the semester project is the revitalization of one of the post-shipyard hall (No. 38 A) located at the Imperial Shipyard...

• Robotics for human health and performance (PG_00054982) 04.2024

  e-Learning Courses

  • W. Sieklicki

  During this course students will be provided with the knowledge in areas of robotics and biomechanics necessary to design instrumentation for human health and performance, as well as about human-robot interface.

• Architectural project V Design for all 2023/24

  e-Learning Courses

  • J. M. Kowalewska
  • D. Sędzicki
  • M. Gawdzik
  • J. Kołodziejczak

• Building Structures and Technologies for Architects 2024 2025

  e-Learning Courses

  • P. Deniziak

• 2024 Installations for Architects ARCH 1 sem Master

  e-Learning Courses

  • R. Ruczyński

  Installations for architects is a set of meetings aimed to broaden students understanding of technical aspects of architecture.

• Deep neural networks for data analysis 24/25

  e-Learning Courses

  • J. Cychnerski
  • K. Draszawka

  This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

• Deep neural networks for data analysis 27/28

  e-Learning Courses

  • K. Draszawka

• Random processes - theory for the practician, computer classes

  e-Learning Courses

  • M. Ciołek

  Automatyka i Robotyka, semestr 1 studia II stopnia

• Deep neural networks for data analysis 25/26

  e-Learning Courses

  • K. Draszawka

• English Language Bridging ( Crash ) Course for Chinese Students

  e-Learning Courses

  • K. Lis
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus