Search results for: deep learning, genetic algorithm, artificial neural networks, predictive maintenance, cost efficient maintenance - Bridge of Knowledge

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Search results for: deep learning, genetic algorithm, artificial neural networks, predictive maintenance, cost efficient maintenance

Search results for: deep learning, genetic algorithm, artificial neural networks, predictive maintenance, cost efficient maintenance

  • 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:...

  • 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.

  • 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.

  • Computer aided maintenance 2022 - W, - IDE II (M:32027W0) - Nowy

    e-Learning Courses
    • W. Blacharski
    • D. Chuchała
    • A. Suchta

  • Computer Networks-laboratories - 2023

    e-Learning Courses
    • M. Hoeft
    • T. Gierszewski
    • I. Szczypior
    • J. Grochowski
    • J. Rak
    • W. Gumiński
    • K. Jurczenia
    • K. Gierłowski
    • K. Nowicki

    Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

  • Computer Networks laboratories 2024

    e-Learning Courses
    • M. Hoeft
    • T. Gierszewski
    • I. Szczypior
    • J. Grochowski
    • J. Rak
    • W. Gumiński
    • K. Jurczenia
    • K. Gierłowski
    • K. Nowicki

    Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

  • Computer aided maintenance of the stock of machines - W/L (M:320406W0) DaEP 2023/2024 summer semester

    e-Learning Courses
    • D. Chuchała
    • A. Suchta
    • A. Sommer
    • M. Deja

  • Computer Networks EN 2022

    e-Learning Courses
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Computer Networks EN 2023

    e-Learning Courses
    • M. Hoeft
    • J. Woźniak
    • J. Grochowski
    • K. Gierłowski

    The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

  • Artificial Intelligence

    e-Learning Courses
    • J. Dembski
    • M. Smiatacz

  • Artificial intelligence

    e-Learning Courses
    • J. Dembski
    • M. Smiatacz

  • 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.

  • e-Learning - user's guide for students

    e-Learning Courses

    e-Learning - user's guide for students

  • 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.

  • L23_24 Artificial Intelligence in Healthcare

    e-Learning Courses
    • J. Rumiński

  • Artificial Intelligence - Summer 2023/24

    e-Learning Courses
    • J. Dembski
    • A. Sobociński

  • Selected aspects of the design of artificial organs

    e-Learning Courses
    • P. Jasiński

    dla III stopnia EiT+IBM

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

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

  • 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

  • E-learning workshops with Norbert Berger

    e-Learning Courses
    • J. Makowski

    The series of workshops supports MBA faculty in planning, designing, delivering and assessing blended and online modules for their cohorts. It is supplemented by individual coaching to create Moodle and conferencing solutions and their delivery.

  • Systemy z Uczeniem Maszynowym / Systems with Machine Learning

    e-Learning Courses
    • J. Cychnerski

  • Projektowanie zajęć prowadzonych na odległość (10h e-learning)

    e-Learning Courses
    • M. M. Łapińska
    • A. M. Dąbrowicz-Tlałka
    • M. M. Musielak

  • „Active learning w praktyce” - 17. Szkolenie certyfikowane 13.12.2022 r.

    e-Learning Courses

  • „Active learning w praktyce” - 4. Szkolenie certyfikowane 21.10.2022 r.

    e-Learning Courses

  • Systemy z Uczeniem Maszynowym / Systems with Machine Learning 2022/2023

    e-Learning Courses
    • J. Cychnerski

  • Systems Engineering Requirements for Rotating Machines (PG-00060237)

    e-Learning Courses
    • J. Szwedowicz

    Turbiny wiatrowe, gazowe, mikroturbiny, silniki lotnicze, turbosprężarki i inne systemy mechaniczne to przykłady maszyn wirujących, które wymagają wysoko wykwalifikowanych inżynierów. Powinni oni zrozumieć złożoność procesów projektowania i produkcji, w tym wytwarzania przyrostowego, oraz konserwacji prognostycznej opartej na inżynierii cyfrowej dla bezawaryjnej pracy silnika. Wind, gas, micro turbines, aircraft engines, turbochargers,...

  • Podstawy uczenia głębokiego 2022

    e-Learning Courses
    • K. Draszawka
    • S. Olewniczak
    • J. Szymański

    {mlang pl}Kurs podstaw uczenia głębokiego przeznaczony dla studentów kierunku Informatyka.{mlang} {mlang en}This is a course about deep learning basics dedicated for Computer Science students.{mlang}

  • Wymagania inżynierii systemów dla maszyn wirujących (PG-00060237)

    e-Learning Courses
    • J. Szwedowicz

    Turbiny wiatrowe, gazowe, mikroturbiny, silniki lotnicze, turbosprężarki i inne systemy mechaniczne to przykłady maszyn wirujących, które wymagają wysoko wykwalifikowanych inżynierów. Powinni oni zrozumieć złożoność procesów projektowania i produkcji, w tym wytwarzania przyrostowego, oraz konserwacji prognostycznej opartej na inżynierii cyfrowej dla bezawaryjnej pracy silnika. Kurs zapewnia fundamentalną wiedzę wymaganą w przemyśle...

  • Computational Intelligence - 2023

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence 2022

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski
    • H. Kormański

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence - sem. 2022/23

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence - 2023/2024 sem.

    e-Learning Courses
    • Z. Kowalczuk
    • T. Białaszewski

    Widening the students knowledge about the selected methods of artificial intelligence

  • Computational Intelligence - sem. 2023/2024

    e-Learning Courses

    Widening the students knowledge about the selected methods of artificial intelligence

  • Random Processes 2022/2023

    e-Learning Courses
    • B. Czaplewski

    The e-learning course page for the purpose of the remote or hybrid learning for Random Processes.

  • Random Processes 2023/2024

    e-Learning Courses
    • B. Czaplewski

    The e-learning course page for the purpose of the remote or hybrid learning for Random Processes.

  • Inter Applied Chemistry Programme 3 Miodrag Guzvic

    e-Learning Courses
    • A. Głowacz-Różyńska
    • M. Tobiszewski
    • C. Jungnickel
    • P. Filipkowski

    Inter Applied Chemistry Programme 3 Dr. Miodrag Gužvić Title: Genetic toxicology

  • Interactive Decision Making, Inżynieria Środowiska, Environmental Engineering, 2023/2024 (summer semester)

    e-Learning Courses
    • A. Jakubczyk-Gałczyńska
    • A. Siemaszko

    The course is designed for students of MSc Studies in Environmental Engineering (studies in Polish and English) Person responsible for the subject, carrying out lectures and tutorials: mgr inż. Agata.Siemaszko; agata.siemaszko@pg.edu.pl The person conducting the lectures and tutorials: dr inż. Anna Jakubczyk-Gałczyńska; anna.jakubczyk@pg.edu.pl The course is conducted using the Project-Based Learning (PBL) method. It provides...

  • Geotechnics

    e-Learning Courses
    • L. Bałachowski

    The course is divided into two parts. The first is related to in-situ tests and their applications for the design of shallow and deep foundations. The second part is related to models of soil behavior and numerical analysis in geotechnical engineering.

  • Cybersecurity of Enterprise Infrastructure 2023

    e-Learning Courses
    • R. Leszczyna
    • S. Ostrowski

    The aim of the course is for a student to acquire fundamental knowledge on cybersecurity management in organisations. During the course the concepts and methods associated with of an information security management system, cybersecurity standards and guidelines, cybersecurity management process, cybersecurity policy, cybersecurity threats, risk management, protection controls and the cost of the cybersecurity management will be...

  • Managing enterprise IT infrastructure and security 2022

    e-Learning Courses
    • R. Leszczyna
    • B. Woliński

    The aim of the course is for a student to acquire fundamental knowledge on cybersecurity management in organisations. During the course the concepts and methods associated with of an information security management system, cybersecurity standards and guidelines, cybersecurity management process, cybersecurity policy, cybersecurity threats, risk management, protection controls and the cost of the cybersecurity management will be...

  • Cybersecurity of Enterprise Infrastructure 2024

    e-Learning Courses
    • R. Leszczyna
    • S. Ostrowski

    The aim of the course is for a student to acquire fundamental knowledge on cybersecurity management in organisations. During the course the concepts and methods associated with of an information security management system, cybersecurity standards and guidelines, cybersecurity management process, cybersecurity policy, cybersecurity threats, risk management, protection controls and the cost of the cybersecurity management will be...

  • Elements of Discrete Mathematics 2023

    e-Learning Courses
    • J. Raczek

    This course helps with learning Elements of Discrete Mathematics.

  • Elements of Discrete Mathematics 2022

    e-Learning Courses
    • J. Raczek

    This course helps with learning Elements of Discrete Mathematics.

  • Elements of Discrete Mathematics 2024

    e-Learning Courses
    • J. Raczek

    This course helps with learning Elements of Discrete Mathematics.

  • Podstawy uczenia maszynowego AI

    e-Learning Courses

    Podstawy uczenia maszynowego. Machine Learning fundamentals.