Search results for: combined method, sea conditions, ship speed, fuel consumption, powertrain load, artificial neural network (ann)

• Fuel, Oils and Greases, W, E, sem.01, zimowy 22/23

  e-Learning Courses

  Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....

• Fuel, Oils and Greases, W, E, sem.03, zimowy 22/23

  e-Learning Courses

  • P. Bzura

  Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....

• Artificial Intelligence

  e-Learning Courses

  • J. Dembski
  • M. Smiatacz

• Artificial intelligence

  e-Learning Courses

  • J. Dembski
  • M. Smiatacz

• 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

• 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:...

• Stability & Dynamics of Ship and Offshore Structures II W2021/22

  e-Learning Courses

  • P. Dymarski

  Lecture and Lab classes - Stability & Dynamics of Ship and Offshore Structures II W2021/22

• 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.

• Basics of Ship Structures (OE)

  e-Learning Courses

  • K. Wołoszyk

• Stability & Dynamics of Ship and Offshore Structures I S2020/21

  e-Learning Courses

  • P. Dymarski

  Lectures and exercises from the course "Stability & Dynamics of Ship and Offshore Structures I"

• Scientific Research Method

  e-Learning Courses

  • J. Szczepański

• 2022 Water treatment for consumption and industrial purposes

  e-Learning Courses

  • I. E. Kłosowska-Chomiczewska

• L23_24 Artificial Intelligence in Healthcare

  e-Learning Courses

  • J. Rumiński

• Artificial Intelligence - Summer 2023/24

  e-Learning Courses

  • J. Dembski
  • A. Sobociński

• Physics Research Method IV

  e-Learning Courses

  • J. Guthmuller

  {mlang pl} Dyscyplina:  Nauki Fizyczne Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:   prof. Julien Guthmuller Liczba godzin: 15 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Phisical Sciences Obligatory course for 2nd year PhD students Academic teacher:  prof. Julien Guthmuller Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}

• Selected aspects of the design of artificial organs

  e-Learning Courses

  • P. Jasiński

  dla III stopnia EiT+IBM

• Introduction to Ship Design O:114009 20232024

  e-Learning Courses

  • T. Hinz

• 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

• GTM Method of Structural Studies Lecture and Laboratory

  e-Learning Courses

  • S. Makowiec
  • I. Sinkiewicz
  • M. Ryczkowska
  • T. Olszewska
  • A. Brillowska-Dąbrowska

• Energy Systems Stations, W, ET, sem.7, zimowy 22/23 (PG_00042106)

  e-Learning Courses

  • R. Liberacki

  Internal combustion engines - principle of operation and classification. Heat balance of the engine. Uniform and combined propulsion systems.The main comonents of the propulsion system. Power plant efficiency and waste heat utilization. Cooling water system, lubricating oil system, fuel oil systeml, gaseos fuel system (LNG), compressed air system, exhaust gas system. Fittings and accessories of pipeline systems in the power plant....

• Deep Learning Basics 2023/24

  e-Learning Courses

  • K. Draszawka

  A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

• Computer Networks EN 2022

  e-Learning Courses

  • J. Woźniak
  • J. Grochowski
  • K. Gierłowski

  The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

• Computer Networks EN 2023

  e-Learning Courses

  • M. Hoeft
  • J. Woźniak
  • J. Grochowski
  • K. Gierłowski

  The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

• Strength of Materials II, Tutorial and Laboratory, DaPE, sem. 04, summer 21/22, (PG_00050281)

  e-Learning Courses

  • G. Banaszek

  The aim of the course is to present the strength calculations of systems in a complex state load.

• Mathematical and numerical modelling, L, IDE, sem. 01, summer 21/22,(M:00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling. Optimal control. Modal analysis. High speed milling. Mechatronic design.

• Energy Systems Stations, PG_00042106, W, PE-ET, sem.7, winter 2023/24

  e-Learning Courses

  • R. Liberacki

  Construction and operation of energy systems, based on the example of the ship power plant.

• 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

• Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• 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...

• Advanced Mechanics of Marine Structures I, MSc, Summer 2022-2023, [L,T], PG_00051723

  e-Learning Courses

  • B. Rozmarynowski

  1.  Literature overview,  definition of marine and offshore structures, ocean engineering technologies and mechanical aspects, structural systems applied, jack-up drilling platforms and structural elements. 2. Tensor algebra fundamentals,  stress and small strain states of a solid, constitutive relations. 3. SDOF and MDOF dynamic systems, damping and added masses in offshore vibrations,  generalised eigenvalue problem, forced vibrations...

• Professional practice, P, DaPE, sem.07, winter, 23/24 (PG_00040197)

  e-Learning Courses

  • G. Banaszek

  The student undergoes apprenticeship in order to develop the skills of practical use of knowledge obtained during education at the Faculty of Mechanical Engineering and Ship Technology.

• Professional practice, P, DaPE, sem.07, winter, 24/25 (M:32021P0)

  e-Learning Courses

  • G. Banaszek

  The student undergoes apprenticeship in order to develop the skills of practical use of knowledge obtained during education at the Faculty of Mechanical Engineering and Ship Technology.

• Fundamentals of Steam and Gas Turbines OASIV

  e-Learning Courses

  • J. Głuch

  Application of turbines in industry and sea power plants. Basic thermodynamics and fluid flow mechanics in turbomachinery. Steam turbine power cycle and plants. Gas turbine power cycle and plants. Turbine blading systems operation.

• CNC Programming: W/L/P; DaPE; 6th semester, 1st grade, Summer 22/23 (M:320405W0)

  e-Learning Courses

  • D. Chuchała

  Design and Production Engineering (Faculty of Mechanical Engineering and Ship Technology), 1st degree, 6th semester Lectures, laboratories and project exercises

• Electrical Engineering [Design and Production Engineering][2023/24]

  e-Learning Courses

  • F. Kutt
  • I. Mosoń

  Additional 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

• Strength of Materials II,Lectures,DAPE,spring 23-24(PG_00050281)

  e-Learning Courses

  • W. Wojnicz

  The aim of the subject is to acquire knowledge to conduct engineering calculation of systems under the complex load.Celem przedmiotu jest zapoznanie się z realizacją obliczeń wytrzymałościowych układów w złożonym stanie obciążenia.

• Selected topics of electrical engineering

  e-Learning Courses

  • A. Wilk

  Principles of electromchanical energy conversion using Lagrange energy method

• Theory of architectural design IV_ERASMUS

  e-Learning Courses

  • A. Taraszkiewicz
  • J. Borucka

  The Theory of architectural design IV ERASMUS is a course dedicated especially to Erasmus+ students and conducted on separate conditions.

• Technology and Energy Conversion Machines - Nowy

  e-Learning Courses

  • D. Stepanenko

  The course covers the basics of mechanical, electrical and thermal energy production in industry and maritime transport. Describes installations supporting high-power engines. Particular attention has been paid to the fuel systems of internal combustion engines. The treatment of engine exhaust gases is described.

• Technology and Energy Conversion Machines - Nowy kopiuj 1

  e-Learning Courses

  • Z. Kneba

  The course covers the basics of mechanical, electrical and thermal energy production in industry and maritime transport. Describes installations supporting high-power engines. Particular attention has been paid to the fuel systems of internal combustion engines. The treatment of engine exhaust gases is described.

• Heat turbomachinery

  e-Learning Courses

  • K. Kosowski

  1. Steam turbine cycles. 2. Gas turbine cycles. 3. Combined gas-steam cycles. 4. Flows in nozzles. 5. Theory of turbine stages. 6. Multistage turbines. 7. Examples of turbine design.