Search results for: demagnetization problem decomposition electromagnetic modeling superposition calculus least squares approximations fem-based numerical verification magnetic analysis magnetic signatures

• Numerical Modeling of Hydrosystems 2024/2025

  e-Learning Courses

  • A. Szymkiewicz
  • M. Szydłowski

  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 2024/2025

  e-Learning Courses

  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 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

• 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

• 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 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...

• Modelling methods in design (CAD, FEM)

  e-Learning Courses

  • G. Rotta

• Introductory modeling for decision-making using AMPL

  e-Learning Courses

  • J. Szostak
  • A. Felt

  Introductory modeling for decision-making using AMPL

• Modeling projects for decision-making using AMPL

  e-Learning Courses

  • J. Szostak
  • A. Felt

  Modeling projects for decision-making using AMPL

• Ochrona Przeciwkorozyjna Instalacji Przemysłowych i Risk Based Inspection (RBI)

  e-Learning Courses

  • J. Orlikowski
  • A. Jażdżewska
  • S. Wysmułek
  • A. Karólkowska
  • Ł. Szynkiewicz
  • M. Szociński

  Risk Based Inspection

• TIME SERIES MODELING (PG_00063724)

  e-Learning Courses

  • P. Paradowski

  Effectively uses in-depth knowledge of economic time series analysis methods, applying the results of analyzes to formulate forecasts. Subject contents: 1. Classical time series analysis (trend, cyclical fluctuations) 2. Exponential smoothing models 3. Holt and Winters model 4. Stochastic processes and time series 5. Characteristics of stochastic processes 6. Process spectrum autocorrelation functions 7. Study of the stationarity...

• 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. 

• Computer modeling and design of materials 2022/2023

  e-Learning Courses

  • S. Winczewski

  Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

• Density functional approaches to the many-body problem

  e-Learning Courses

  • I. Kuzborska
  • J. Szostak
  • S. Taioli

• 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. 

• Reliability Based zoptimization 2023/24

  e-Learning Courses

• 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

• Magnetism from fundamentals to spintronics 22/23

  e-Learning Courses

  • L. Piotrowski

  1. Basic magnetic quantities2. Magnetism of atoms and molecules, atoms in external magnetic fields3. Solid state magnetism, types of magnetic materials (dia-, para-, and ferromagnetism)4. Ferromagnetism and domain structures5. Magnetism of small particles, single domain particles (StonerWohlfarth model), thin films6. Experimental techniques of magnetic properties and magnetisation state determination. Domain structurevisualisation...

• Modeling in Machine Design

  e-Learning Courses

  • K. Mazur
  • R. Gawarkiewicz
  • M. Wasilczuk
  • G. Rotta

  The course is meant to show the students how to build calculation models in machine design

• 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;...

• [ILiT, IŚGiE] Reliability-Based Optimization (RBO)

  e-Learning Courses

  • J. Górski
  • K. Winkelmann
  • M. Skowronek

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• 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

• 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,...

• TIME SERIES MODELING 2023/2024

  e-Learning Courses

  • M. B. Pietrzak

  prowadzący: assoc. prof. Ján Dvorský, PhD

• [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....

• Modeling the Networks - ed. 2021/2022

  e-Learning Courses

  The goal of this course is to present optimization problems for road networks, where the road network is a set of n distinct lines, or n distinct (open or closed) line segments, in the plane, such that their union is a connected region.

• 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.

• 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:...

• [ILiT, IŚGiE] Reliability-Based Optimization (RBO) - 2022/23

  e-Learning Courses

  • J. Górski
  • K. Winkelmann
  • M. Skowronek

• [ILiT, IŚGiE] Reliability-Based Optimization (RBO) - 2023/24

  e-Learning Courses

  • J. Górski
  • K. Winkelmann
  • M. Skowronek

• [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...

• 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

• Systems Modeling and Simulation [WIMiO][2023/24]

  e-Learning Courses

  • K. Armiński
  • T. Zubowicz
  • B. Puchalski

• 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...

• 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

• 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.