Search results for: non-linear uncertain systems - Bridge of Knowledge

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Search results for: non-linear uncertain systems

Search results for: non-linear uncertain 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,...

  • Virtual team collaboration - Spring'24

    e-Learning Courses
    • J. Dembski
    • B. Wiszniewski

    Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

  • Virtual team collaboration - Spring'24

    e-Learning Courses

    Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

  • Materials for energy storage and conversion devices 2022/2023

    e-Learning Courses

    Electrodes: Metals as electrodes in aqueous and non-aqueous systems, metal nanoparticles. Collectors current. 3D, 2D, 1 D carbons, carbon nanomaterials. Organic semiconductors "Synthetic metals" - p-type, n-type. Inorganic semiconductors: oxides, selenides, sulfides, others. Intercalated electrodes. Mixed conductors (MIEC). Photo-active semiconductor materials. Electrolytes. Water electrolytes in commercial products. Electroactive...

  • 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,...