Search results for: DEEP LEARNING RENEWABLE ENERGY SOURCES PHOTOVOLTAICS BUILDINGS LONG SHORT-TERM MEMORY MICRO-GRIDS - Bridge of Knowledge

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Search results for: DEEP LEARNING RENEWABLE ENERGY SOURCES PHOTOVOLTAICS BUILDINGS LONG SHORT-TERM MEMORY MICRO-GRIDS

Search results for: DEEP LEARNING RENEWABLE ENERGY SOURCES PHOTOVOLTAICS BUILDINGS LONG SHORT-TERM MEMORY MICRO-GRIDS

  • Renewable Energy Sources

    e-Learning Courses
    • J. Cieśliński

  • Renewable Energy Sources - W/C/L, E+MiBM, sem.05, (PG_00042100) - Nowy

    e-Learning Courses
    • J. Kropiwnicki

    Presentation of the modern achievements and tendencies in the area of renewable energy resources utilization. Classification of renewable energy resources. Possibilities of renewable energy resources utilization. Discussion of theoretical backgrounds of selected technologies.

  • 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.

  • Renewable Energy Sources, WIMiO, Energetyka, I st., sem. 03, stacjonarne, (PG_00042100), semestr zimowy 2023/2024

    e-Learning Courses
    • J. Kropiwnicki
    • S. Głuch

    Presentation of the modern achievements and tendencies in the area of renewable energy resources utilization. Classification of renewable energy resources. Possibilities of renewable energy resources utilization. Discussion of theoretical backgrounds of selected technologies.

  • Renewable energy sources (Archiwizowany 2023-11-02)

    e-Learning Courses
    • J. Cieśliński

  • CONTROL SYSTEMS IN RENEWABLE ENERGY SOURCES [2022/23]

    e-Learning Courses
    • M. Śliwiński
    • P. Kołodziejek
    • M. Wołoszyn

  • CONTROL SYSTEMS IN RENEWABLE ENERGY SOURCES [2024/25]

    e-Learning Courses
    • M. Śliwiński
    • P. Kołodziejek
    • M. Wołoszyn

  • CONTROL SYSTEMS IN RENEWABLE ENERGY SOURCES 2023/2024

    e-Learning Courses
    • J. Guziński
    • P. Kołodziejek

  • Renewable Energy Sources - Laboratory, sem.5, 2024/25

    e-Learning Courses
    • J. Cieśliński
    • W. Targański
    • J. Rudnicki
    • M. Banaszek
    • J. Łukasik

  • Deep Learning w Keras

    e-Learning Courses
    • A. Karpus

    Kurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.

  • ALTERNATIVE ENERGY SOURCES

    e-Learning Courses
    • A. D. Dettlaff
    • A. Kuczyńska-Łażewska

  • Basics of Deep Learning 24/25

    e-Learning Courses
    • K. Draszawka

  • High Energy Quality of Buildings 2022/23

    e-Learning Courses
    • J. Kabrońska

  • High Energy Quality of Buildings 2023/24

    e-Learning Courses
    • J. Kabrońska

  • High Energy Quality of Buildings 2024/25

    e-Learning Courses
    • J. Kabrońska

  • Micro- and nanodosimetry

    e-Learning Courses
    • M. Balcerzyk
    • I. Mokwa-Tarnowska
    • B. Mielewska

    Micro- and nanodosimetry (Mikro- i nanodozymetria) dla studentów studiów II stopnia WFTIMS

  • Self-healing and shape memory polymers

    e-Learning Courses
    • J. T. Haponiuk

    The course "Self-Healing and Shape Memory Polymers" is a specialized elective designed for Chemical Engineering PhD students. This advanced course delves into the innovative realms of self-healing materials and shape memory polymers (SMPs), representing a significant breakthrough in material science and engineering. Throughout the course, students learn about the problems of failure of polymeric materials and explore the fundamental...

  • Deep neural networks for data analysis 24/25

    e-Learning Courses
    • J. Cychnerski
    • K. Draszawka

    This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

  • Deep neural networks for data analysis

    e-Learning Courses
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Decentralized energy systems. Social aspects of energy production and use (10h, 2 ECTS credits)

    e-Learning Courses
    • M. Galik
    • A. Klej
    • A. Augusiak

    The main aim of the course is to introduce students to the socio-political aspects of the decentralization of energy systems. The motivation behind these changes is not only due to technological developments or economic issues. The main driving force are wider social and political trends. Many energy supply projects that are being developed and implemented today assume an active role for consumers in energy production, who become...

  • Smart Grids [2023/24]

    e-Learning Courses
    • K. Dobrzyński
    • Z. Lubośny

  • E-learning courses

    e-Learning Courses
    • A. Wardziński
    • G. Gołaszewski
    • T. Zawadzka
    • A. Karpus
    • M. Wróbel
    • A. Przybyłek
    • W. Waloszek
    • A. Landowska
    • K. Goczyła

    Strona zawiera zbiór kursów prowadzonych metodą e-learning. Kursy te są skierowane do studentów I stopnia kierunku informatyka na VII semestrze profilu Bazy danych, do studentów na kierunku informatyka na II semestrze studiów II stopnia na specjalności ZAD i ISI.

  • Machine learning for PhD students

    e-Learning Courses
    • W. Artichowicz

    An introductory course in machine learning for PhD students from Department of Geotechnical and Hydraulic Engineering

  • e-Learning - user's guide for students

    e-Learning Courses

    e-Learning - user's guide for students

  • TRANSFER OF ELECTRIC ENERGY [2023/24]

    e-Learning Courses
    • J. Klucznik

    Course content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage,...

  • TRANSFER OF ELECTRIC ENERGY [2022/23]

    e-Learning Courses
    • J. Klucznik

    Course content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage,...

  • TRANSFER OF ELECTRIC ENERGY [2024/25]

    e-Learning Courses

    Course content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage, power,...

  • TRANSFER OF ELECTRIC ENERGY [2024/25]

    e-Learning Courses
    • J. Klucznik

    Course content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage,...

  • [EiF] Economic theory - micro

    e-Learning Courses
    • A. Parteka

    {mlang pl} Dyscyplina:  Ekonomia i Finanse Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:   dr hab. Tomasz Brodzicki Liczba godzin: 30 h Forma zajęć: wykład {mlang} {mlang en} Discipline: Economics and Finance Obligatory course for 1st and 2nd year PhD students Academic teacher:  dr hab. Tomasz Brodzicki Total hours of training: 30 teaching hours Course type: lecture {mlang}

  • Environmental Protection in Energetics, W, E, sem.01, zimowy 22/23

    e-Learning Courses
    • P. Bzura

    The principle of sustainable development. Non-renewable and renewable energy sources. Environmental aspects of the use of different energy sources. Atmospheric pollution. Methods of reducing the emission of pollutants into the atmosphere. Waste and hazardous waste. Water and Wastewater. Legal aspects of environmental protection.

  • Essentials of micro and macroeconomics - Summer 2024

    e-Learning Courses
    • K. Zięba
    • J. Golik

  • Energy Systems [24/25]

    e-Learning Courses
    • M. Jaskólski

    Thje course was created for the "Energy Technologies specialization.

  • Energy Auditing [22/23]

    e-Learning Courses
    • W. Stahl
    • M. Jaskólski

    Energetyka, studia I stopnia, stacjonarne, semestr 7, specjalność: Energy Technologies

  • Desiging e-learning courses and distance learning (level 1. certified course)

    e-Learning Courses
    • J. Mytnik
    • O. Ludyga

  • Markets of Energy (Dezhou University)

    e-Learning Courses
    • W. Stahl

    Markets of Energy course for Dezhou University - materials and online lessons

  • Blended Learning Tasks 2

    e-Learning Courses
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Mechanicznego

  • Blended Learning Tasks 6

    e-Learning Courses
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Architektury

  • Blended Learning Tasks 4

    e-Learning Courses
    • I. Mokwa-Tarnowska

  • Blended Learning Tasks 1

    e-Learning Courses
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Mechanicznego

  • Blended Learning Tasks 5

    e-Learning Courses
    • I. Mokwa-Tarnowska

    Kurs dla ETI

  • Blended Learning Tasks 3

    e-Learning Courses
    • I. Mokwa-Tarnowska

    Kurs dla WILiŚ

  • Mikro- i nanodozymetria (Micro- and nanodosimetry)2024

    e-Learning Courses

    Kurs Mikro- i nanodozymetria dla studentów studiów II stopnia WFTIMS specjalność Fizyka Medyczna

  • Corporate Governance summer term 2024

    e-Learning Courses
    • L. Segreto

  • Energy Use Rationalization [24/25]

    e-Learning Courses
    • M. Jaskólski

    The course was created for "Energy Technologies" specialization.

  • Condition monitoring of energy installations IDESII

    e-Learning Courses
    • J. Głuch

    Measurement errors and uncertainties. Industrial measurements in the energy industry. Measuring devices. The basics of control in industry. Measurement characteristics in complex energy systems. Distributed Control System (DCS) (KSR).

  • Energy Use Rationalization [22/23]

    e-Learning Courses
    • M. Jaskólski

    Energetyka, studia I stopnia, stacjonarne, specjalność: Energy Technologies

  • Energy Use Rationalization [23/24]

    e-Learning Courses
    • M. Jaskólski

    Energetyka, studia I stopnia, stacjonarne, specjalność: Energy Technologies

  • Essentials of micro and macroeconomics - Summer 2021/22

    e-Learning Courses
    • J. Wasilczuk
    • K. Zięba

  • Essentials of micro and macroeconomics - Summer 2022/23

    e-Learning Courses
    • K. Zięba
    • J. Golik

  • Electric Machines [Energy Technologies][2022/23]

    e-Learning Courses
    • F. Kutt
    • A. Wilk
    • M. Michna
    • G. A. Kostro
    • R. Ryndzionek
    • Ł. Sienkiewicz

    Fundamentals of elektromechanical energy conversion. Bachelor/Engineer in Energy Technologies, 4th semester, undergraduate, full-time.