Search results for: constitutive%20modeling

• 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

• Materials science. Quantum particle approach. 2022.

  e-Learning Courses

  • M. Bobrowski

  quantum methods for materials and molecular modeling.

• Material Science Quantum Particle Approach 2021

  e-Learning Courses

  • M. Bobrowski

  quantum methods for materials and molecular modeling.

• 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

• Business process modelling

  e-Learning Courses

  • M. Grzesiak

  Welcome to the Business Process Modeling course! We will travel together among the business processes world and its modeling with the BPMN ;) I hope it will be valuable for your future. See you soon, Marzena Grzesiak

• TIME SERIES MODELING 2023/2024

  e-Learning Courses

  • M. B. Pietrzak

  prowadzący: assoc. prof. Ján Dvorský, PhD

• 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.

• 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

• 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

• 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

• Materials Science - classical particle approach 2023/2024

  e-Learning Courses

  • S. Winczewski
  • F. Oseko

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

• 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...

• Smart metering - social risk perception and risk governance (10h, 2 ECTS credits)

  e-Learning Courses

  • M. Galik
  • A. Klej

  The goal of the course is to broaden the understanding of technology-related risks and to present the concepts of social risk perception and risk governance in the context of smart metering technology. In current phase of technological development – known as the fourth industrial revolution – rapid and profound changes are setting up new and particularly destabilizing risks. In more and more complex technological systems that constitute...

• 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 Methodologies for the Environment EE Msc sem. II r.a. 23/24

  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.

• Team Strategies - sem. 2022/23

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2023/24

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task