Search results for: MPACT STRENGTH SUPPORT TYPE SUPPORT LAYOUT NUMERICAL ANALYSIS FIBRES GLASS FIBRE MESH

• STRENGTH of MATERIALS TOWARDS APPLICATIONS (2024)

  e-Learning Courses

  • M. K. Gerigk

  The SMTA DATE Course consists of the following problems to be discussed during the lectures: - Introduction to strength of materials towards applications - Fundamentals of modelling in strength of materials towards applications - Materials and basic structures - Fundamentals of modelling in strength of materials towards applications - Definition of environment and loads - General, energy-based and advanced methods for analysis...

• Numerical methods in heat and fluid flow, PG_00057408

  e-Learning Courses

  • P. Ziółkowski

  Reiteration of information on thermodynamic cycles and extension of information on their modelling using commercial software tools. Presentation of balances, constitutive equations, how to set up conditions in CFD type codes. Equipment regulation and control in the context of heat exchangers.Presentation of the computational capabilities of the CFD calculation code ANSYS Fluent. Mass, momentum and energy balances in 0D and 3D terms.Analysis...

• 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,...

• Glasses and glass-nanocomposites/ Szkła specjalne

  e-Learning Courses

  • N. A. Wójcik

• 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. 

• Numerical Modeling of Hydrosystems 2023/2024

  e-Learning Courses

  • A. Szymkiewicz
  • A. Gumuła-Kawęcka
  • M. Szydłowski

  Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

• 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. 

• 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.

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• Strength of Materials I,Lectures,DAPE,fall 23-24(PG_00055150)

  e-Learning Courses

  • W. Wojnicz

  The aim of the course is to acquire knowledge referring to the Mechanics of Materials (Strength of Materials)

• Strength of Materials II,Lectures,DAPE,spring 21-22 (PG_00050281)

  e-Learning Courses

  • W. Wojnicz

  The aim of the subject is to acquire knowledge related to the strength of materials II (mechanics of material, part 2)

• Numerical Modeling of Hydrosystems 2022/2023 (summer)

  e-Learning Courses

  • A. Szymkiewicz
  • M. Szydłowski
  • A. M. Mustafa

  Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

• Numerical Modeling of Hydrosystems 2022/2023 (winter)

  e-Learning Courses

  • A. Szymkiewicz
  • M. Szydłowski
  • A. M. Mustafa

  Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

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

• 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;...

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• [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...

• [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....

• Strength of materials II, Tutorials and Laboratory, DaPE, sem. 04, summer 22/23, (PG_00050281)

  e-Learning Courses

  • G. Banaszek

  Tutorials and Laboratory on Strength of materials II.

• 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

• 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.

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • A. Żak

  {mlang pl} Dyscyplina: IMe Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Tesch, A. Żak Liczba godzin: 45 Forma zajęć: wykład/laboratorium {mlang} {mlang en} Discipline: IMe Obligatory course for 1st year PhD students Academic teacher: K. Tesch, A. Żak Total hours of training: 45 teaching hours Course type: lecture/Laboratories {mlang}

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • A. Żak

  {mlang pl} Dyscyplina: IMe Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Tesch, A. Żak Liczba godzin: 45 Forma zajęć: wykład/laboratorium {mlang} {mlang en} Discipline: IMe Obligatory course for 1st year PhD students Academic teacher: K. Tesch, A. Żak Total hours of training: 45 teaching hours Course type: lecture/Laboratories {mlang}

• 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,...

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • J. Kropiwnicki
  • A. Żak

  {mlang pl} Dyscyplina: IMe Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Tesch, A. Żak Liczba godzin: 45 Forma zajęć: wykład/laboratorium {mlang} {mlang en} Discipline: IMe Obligatory course for 1st year PhD students Academic teacher: K. Tesch, A. Żak Total hours of training: 45 teaching hours Course type: lecture/Laboratories {mlang}    

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • A. Żak

  {mlang pl} Dyscyplina: IMe Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Tesch, A. Żak Liczba godzin: 45 Forma zajęć: wykład/laboratorium {mlang} {mlang en} Discipline: IMe Obligatory course for 1st year PhD students Academic teacher: K. Tesch, A. Żak Total hours of training: 45 teaching hours Course type: lecture/Laboratories {mlang}    

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

  e-Learning Courses

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• 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:...

• Numerical Methods - Data Engineering

  e-Learning Courses

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

  studia inżynierskie, informatyka i inżynieria danych

• 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.

• 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 

• 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

• Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Project on Mathematical and numerical modelling.

• Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Project on Mathematical and numerical modelling.

• 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

• 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

• Financial Analysis (22/23)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska

• Financial Analysis (summer 2024)

  e-Learning Courses

  • P. Figura

• Market Analysis 2023/24

  e-Learning Courses

  • N. Przybylska
  • E. Gołąb-Andrzejak
  • A. Kozłowska

• [AEiE] Introduction to advanced numerical methods in engineering

  e-Learning Courses

  • P. Wierzba
  • A. Lamęcki
  • P. Kowalczyk

  {mlang pl} Dyscyplina: automatyka, elektronika i elektrotechnika Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  dr hab. inż. Robert Bogdanowicz, prof. PG, dr inż. Grzegorz Fotyga, dr hab. inż. Piotr Kowalczyk, prof. PG, dr hab. inż. Rafał Lech, prof. PG, dr hab. inż. Paweł Wierzba, prof. PG Liczba godzin: 15 Forma zajęć: wykład Kurs realizowany w zakładce WETI: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=10126 Na...

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba