Search results for: GRAPHICS PROCESSING UNITS , COMPUTATIONAL MODELING , INSTRUCTION SETS , MATHEMATICAL MODEL , HYDRODYNAMICS , REGISTERS , NUMERICAL MODELS

• 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

• 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

  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,...

• Engineering Graphics II, PG_00040167

  e-Learning Courses

  • J. Łubiński
  • B. Bastian

  Engineering Graphics

• 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,...

• 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...

• 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

• JOz Model AiR

  e-Learning Courses

  • B. Ozimek
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Mathematical Statistics (2022/23)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23

• Models in spatial development

  e-Learning Courses

  • R. Skrzypczyński

• Mathematical Statistics (2023/24)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24

• Image Processing in Robotics (2021/2022)

  e-Learning Courses

  • P. Chudziak

  For ISD M.Sc. (II degr.) 2 sem. Participants are to learn image processing algorithms related to transformation, filtration, feature detection (image descriptors), image processing algorithms in robotic industrial systems.

• 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

• 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

• 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.

• 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...

• 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...

• 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

• Engineering Graphics I, PG_00055216

  e-Learning Courses

  • J. Łubiński
  • B. Bastian

• Engineering Graphics II, W/P, Design and Production engineering, sem. letni 2021/2022, (PG_00040167)

  e-Learning Courses

  Course for Engineering Graphics II classes of Design and Production engineering students

• Digital Signal Processing

  e-Learning Courses

  • T. Stefański

• Engineering Graphics I, W/P, MiBM, sem 01, zimowy 2021/2022 (PG_00055216)

  e-Learning Courses

  • B. Bastian

  Kurs dla zajęć z Grafiki Inżynierskiej I dla MiBM spec. DaPE --- Course for the Enginnering Graphics I for DaPE

• Image Processing in Robotics

  e-Learning Courses

  • T. Białaszewski

• Image Processing in Robotics

  e-Learning Courses

  • S. Dziedziewicz

• Mathematical and numerical modelling, P, IDE+EMSS, sem. 01, letni 23/24, stacjonarne, II stopień, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Opanowanie wiedzy i umiejętności dotyczących tworzenia oraz rozwiązywania modeli obliczeniowych wybranych układów mechanicznych.  

• [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....

• 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

• 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;...

• [AEiE] Selected topics of electrical engineering - models of electrical machines

  e-Learning Courses

  • A. Wilk
  • R. Jankowski
  • Z. Krzemiński

  {mlang pl} Dyscyplina: automatyka, elektronika i elektrotechnika Zajęcia fakultatywne dla doktorantów II roku Prowadzący:  dr hab. inż. Andrzej Wilk, prof. PG, prof. dr hab. inż. Zbigniew Krzemiński Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: control, electronic and electrical engineering Facultative course for 2nd-year PhD students Academic teachers: dr hab. inż. Andrzej Wilk, prof. PG, prof....

• Spatial data processing technologies

  e-Learning Courses

  • M. Kulawiak
  • Z. Łubniewski
  • E. Lubecka

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

  e-Learning Courses

  • W. Wojnicz

  The aim of this subject is to acquire knowledge to implement engineering problem in Matlab code  

• Engineering Graphics I, PG_00055216 2023/24

  e-Learning Courses

  • J. Łubiński
  • B. Bastian

• TIME SERIES MODELING 2023/2024

  e-Learning Courses

  • M. B. Pietrzak

  prowadzący: assoc. prof. Ján Dvorský, PhD

• Digital Signal Processing - 22/23

  e-Learning Courses

  • T. Stefański

   Po ukończeniu kursu, student projektuje podstawowe algorytmy cyfrowego przetwarzania sygnałów - filtrów cyfrowych FIR i IIR, i estymuje widmo za pomocą FFT.Student opisuje architektury i ścieżki danych procesorów stało-przecinkowych i zmienno-przecinkowych. Student tłumaczy podstawy arytmetyki procesorów i podaje przykłady zastosowań.

• Big Data processing frameworks - 2022

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Big Data processing frameworks - 2023

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Big Data processing frameworks - 2024

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Digital Signal Processing-23/24

  e-Learning Courses

   Po ukończeniu kursu, student projektuje podstawowe algorytmy cyfrowego przetwarzania sygnałów - filtrów cyfrowych FIR i IIR, i estymuje widmo za pomocą FFT.Student opisuje architektury i ścieżki danych procesorów stało-przecinkowych i zmienno-przecinkowych. Student tłumaczy podstawy arytmetyki procesorów i podaje przykłady zastosowań.

• 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.

• [ILiT, IŚGiE] Mathematical methods in engineering

  e-Learning Courses

  • P. Kłosowski

  {mlang pl} Dyscyplina: ILiT, IŚGiE Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  P. Kłosowski Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: ILiT, IŚGiE Obligatory course for 1st-year PhD students Academic teacher: P. Kłosowski Total hours of training: 15 teaching hours Course type: lecture {mlang}    

• [ILiT, IŚGiE] Mathematical methods in engineering

  e-Learning Courses

  • R. Jankowski
  • R. Sauer
  • M. Skowronek

  {mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr inż. Roger Sauer, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic teacher: dr...