Search results for: SIMULATION, MULTI-PHYSICS SYSTEMS - Bridge of Knowledge

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Search results for: SIMULATION, MULTI-PHYSICS SYSTEMS

Search results for: SIMULATION, MULTI-PHYSICS SYSTEMS

  • 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,...

  • 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...

  • 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

  • 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,...

  • Advanced methods in biosensing: fundamentals and applications

    e-Learning Courses
    • R. Bogdanowicz
    • J. Ryl

    This course provides instruction in the basic science and engineering conceptsrequired to understand the design and application of biosensors. Different biosensorsystems are explored, ranging from electrochemical devices, through to optical orthermal systems. Instruction is also given in the general principles of sampling andanalysis, statistical presentation and manipulation of data. The primary focus will bethe physics of biomolecule...