Search results for: PARTICLE SIZE - Bridge of Knowledge

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Search results for: PARTICLE SIZE

Search results for: PARTICLE SIZE

  • Materials Science -- Classical Particle Approach (2022)

    e-Learning Courses
    • J. Dziedzic

    This is the course webpage for Materials Science -- Classical Particle Approach.

  • Materials science. Quantum particle approach. 2023.

    e-Learning Courses
    • M. Bobrowski

    Quantum ideas applied for particle systems and for chemical reactions.

  • [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....

  • 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

  • Mechanics I, W/C, MiBM, sem. 02, lato 22/23 (PG_00050273)

    e-Learning Courses
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • Mechanics II, W/C, MiBM, sem. 03, zima 22/23 (PG_00055119)

    e-Learning Courses
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • Mechanics II, W/C, ZiIP, sem. 03, zima 23/24 (PG_00055119)

    e-Learning Courses
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • Mechanics I, W/C, ZiIP, sem. 02, lato 23/24 (PG_00050273)

    e-Learning Courses
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.