Search results for: TRAFFIC OPTIMISATION

• [IMe] Modern optimisation methods

  e-Learning Courses

  • K. Tesch

  {mlang pl} Dyscyplina:  Inżynieria Mechaniczna Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:   dr hab. inż. K. Tesch Liczba godzin: 20h Forma zajęć: wykład {mlang} {mlang en} Discipline: Mechanical Engineering Obligatory course for 1st year PhD students Academic teacher:  dr hab. inż. K. Tesch Total hours of training: 20 teaching hours Course type: lecture {mlang}

• [IMe] Modern optimisation methods

  e-Learning Courses

  • K. Tesch

  {mlang pl} Dyscyplina:  Inżynieria Mechaniczna Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:   Prof. dr hab. inż. K. Tesch Liczba godzin: 20h Forma zajęć: wykład {mlang} {mlang en} Discipline: Mechanical Engineering Obligatory course for 1st year PhD students Academic teacher:  Prof. dr hab. inż. K. Tesch Total hours of training: 20 teaching hours Course type: lecture {mlang}

• [IMe] Modern optimisation methods

  e-Learning Courses

  • K. Tesch

  {mlang pl} Dyscyplina:  Inżynieria mechaniczna (PG+IMP PAN) Zajęcia obowiązkowe Prowadzący: dr hab. inż. Krzysztof Tesch, prof. uczelni Liczba godzin: 20 h Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering (GUT + IFFM PAS) Obligatory course Academic teacher: dr hab. inż. Krzysztof Tesch, prof. uczelni Total hours of training: 20 teaching hours Course type: lecture {mlang}

• 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

• Team Strategies - sem. 2024/25

  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

• Business Process Analysis and Optimization 2022

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2024

  e-Learning Courses

  • M. Grzesiak

• Lean Manufacturing, W, Mechatronika, IDE, sem. 03, letni 23/24 (PG_00062997)

  e-Learning Courses

  • J. Kropiwnicki

  Development of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.

• Lean Manufacturing, W, Energetyka, sem. 03, letni 23/24 (PG_00062998)

  e-Learning Courses

  • J. Kropiwnicki

  Development of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.

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

  e-Learning Courses

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

• Reliability Based zoptimization 2023/24

  e-Learning Courses

• Algorytmy Optymalizacji Dyskretnej - ed. 2021/2022

  e-Learning Courses

  • K. Pastuszak

  In real-world applications, many important practical problems are NP-hard, therefore it is expedient to consider not only the optimal solutions of NP-hard optimization problems, but also the solutions which are “close” to them (near-optimal solutions). So, we can try to design an approximation algorithm that efficiently produces a near-optimal solution for the NP-hard problem. In many cases we can even design approximation algorithms...

• Fluid Mechanics and Hydraulics EE Msc sem. I r.a. 22/23

  e-Learning Courses

  • P. Zima
  • A. M. Mustafa

  Basic definitions. Physical properties of liquids. Forces acting on fluids. Hydrostatics - basic equations. Pressure on a flat and curved wall. Buoyancy. Archimedes' law. Balance of submerged bodies. The balance of floating bodies. Hydrodynamics. Hydrodynamic quantities. Continuity equation for the liquid stream. Bernoulli equation. Basic laws of hydrodynamics. Equation of mass behavior, preservation of the amount of motion, Bernoulli's...

• Fluid Mechanics and Hydraulics EE Msc sem. I r.a. 23/24

  e-Learning Courses

  • P. Zima

  Basic definitions. Physical properties of liquids. Forces acting on fluids. Hydrostatics - basic equations. Pressure on a flat and curved wall. Buoyancy. Archimedes' law. Balance of submerged bodies. The balance of floating bodies. Hydrodynamics. Hydrodynamic quantities. Continuity equation for the liquid stream. Bernoulli equation. Basic laws of hydrodynamics. Equation of mass behavior, preservation of the amount of motion, Bernoulli's...

• [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

• 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.

• Urban and Road Engineering - Smolnicki

  e-Learning Courses

  • P. M. Smolnicki

  Lectures about "Urban and Road Engineering", dedicated to sixth semester of the English-speaking group, will be conducted in a way that activates students. Lectures on Road Engineering cover a wide range of important issues related to the subject, starting from a discussion of the historical circumstances of the creation, development and domination of the contemporary conventional model, through identifying new approaches and...

• 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.

• 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,...

• MK_10/2_Planowanie partycypacyjne - Gospodarka Przestrzenna

  e-Learning Courses

  • M. Radziszewska
  • M. Arczyńska
  • B. Zgórska

  Prowadzący: dr inż. arch. Monika Arczyńska dr inż. arch. Łukasz Pancewicz mgr. inż. arch. Marta Waczyńska Cel zajęć - Teoria i praktyka partycypacji Celem zajęć jest zapoznanie studentów z teoretyczną i praktyczną wiedzą nt. partycypacji w procesach projektowania i planowania przestrzeni. Kurs został przygotowany tak, aby objąć zarówno działania realizowane przez samorządy jak i organizacji pozarządowe, działające oddolnie....

• Computer controlled systems - 2022/2023

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

• CCS-lecture-2023-2024

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution optimization...