Search results for: MACHINE LEARNING METHODS. - Bridge of Knowledge

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Search results for: MACHINE LEARNING METHODS.

Search results for: MACHINE LEARNING METHODS.

  • Systemy z Uczeniem Maszynowym / Systems with Machine Learning

    e-Learning Courses
    • J. Cychnerski

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

    e-Learning Courses
    • J. Cychnerski

  • 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.

  • Podstawy uczenia maszynowego AI

    e-Learning Courses

    Podstawy uczenia maszynowego. Machine Learning fundamentals.

  • Engineering Graphics II (M:31997W1) 2023/24

    e-Learning Courses
    • J. Łubiński
    • B. Bastian

    The course covers subject scope of standardised methods used for the presentation of machine details in projected views, in technical design drawings. Detailed topics include: projection systems, principles of design documentation in machine design, rules in dimensioning and selection of views in technical drawing. Practical excercises are carried out and an introduction to CAD is performed.

  • 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:...

  • [soft skills] Didactic methods in the modern teaching process

    e-Learning Courses
    • R. Jankowski
    • J. Mytnik
    • A. Klej

    {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  dr hab. Joanna Mytnik, prof. PG, mgr Alina Guzik, Centrum Nowoczesnej Edukacji Liczba godzin: 15 Forma zajęć: wykład Kurs realizowany w zakładce Centrum Nowoczesnej Edukacji: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=10875 Na kurs należy zapisać się samodzielnie: https://enauczanie.pg.edu.pl/moodle/enrol/index.php?id=10875 Hasło...

  • CAD Integrated Architectural Design, MSc Arch (2023-24)

    e-Learning Courses
    • D. Cyparski

    Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

  • 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...

  • Elective Project I _ Shelter_learning by doing

    e-Learning Courses
    • G. Rembarz
    • B. Bou Kalfouni

    Elective Project I _ Shelter - learning by doing “Your creativity and skills play an important role in making an impact in responding to humanitarian challenges and global crises” The world seems to be reeling from one crisis to another. Recently we experienced climate crises, global pandemic (Covid-19), economic uncertainty, wars, floods, wildfire, and earthquakes. Proceeding from the challenges facing humanity at the global...

  • Machine Design 2

    e-Learning Courses
    • J. Łubiński

    Machine Design 2, what else?

  • 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.

  • Modeling in Machine Design

    e-Learning Courses
    • K. Mazur
    • R. Gawarkiewicz
    • M. Wasilczuk
    • G. Rotta

    The course is meant to show the students how to build calculation models in machine design

  • Machine Design Selected Problems

    e-Learning Courses
    • M. Wasilczuk

    In this course a deepened knowlege of the problems of machine design selected and pointed out by the students is presented

  • Machine Design 3, 2021/22

    e-Learning Courses
    • J. Łubiński

    The course contains a set of practical excercises in machine design with the goal to integrate and consolidate the earlier competency in general machine design.

  • e-Learning - user's guide for students

    e-Learning Courses

    e-Learning - user's guide for students

  • Modelling in machine design (PG_00057377)

    e-Learning Courses
    • M. Wasilczuk

    goal of the subject is to show how simple enginnering models reflect the reality and how contemporary FEM calulations can illustrate the operation of machine elements

  • WATER SUPPLY AND WASTEWATER DISPOSAL

    e-Learning Courses
    • H. Al-Hazmi

    The course on Water Supply and Wastewater Disposal provides a comprehensive understanding of the principles, practices, and technologies involved in managing water resources effectively. It covers both the supply side, focusing on the provision of clean and safe drinking water, and the disposal side, addressing the treatment and management of wastewater to minimize environmental impact. Key Topics Covered: 1. Introduction to...

  • SELECTED PROBLEMS OF MACHINE DYNAMICS (2024)

    e-Learning Courses
    • M. K. Gerigk

    The course is devoted towards lectures assocuated with the novel issues of machine and structures dynamics.  The following lectures will be given during the SPMD course: - introduction to selected problems of machine dynamics, - definition of the machine and structure working environment, - internal and external loads on machines and structures, - dynamics of machines and structures, - strength of machines and structures, - special...

  • 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,...

  • Research Methods

    e-Learning Courses
    • K. Zięba

    This course on research methods is intended for 5th semester students of BiM Programme.

  • Modelling in machine design (PG_00057377)_2024

    e-Learning Courses
    • R. Gawarkiewicz
    • M. Wasilczuk

    Machine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course

  • Machine Design - selected problems (M:320384W0)

    e-Learning Courses
    • M. Wasilczuk
    • G. Rotta

    Machine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course

  • Machine Design - selected problems (M:320384W0)

    e-Learning Courses
    • K. Mazur
    • M. Wasilczuk
    • G. Rotta

    Machine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course

  • Quantitative research methods

    e-Learning Courses
    • P. Paradowski

    Quantitative research methods - dr P. Paradowski

  • Monte Carlo Methods

    e-Learning Courses
    • J. Franz

    This course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.

  • Selected Problems of Machine Dynamics

    e-Learning Courses
    • M. K. Gerigk

    The following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES

  • Qualitative data analysis methods

    e-Learning Courses
    • M. Starnawska

    This is the continuation of Qualitatative Data Analysis Methods course provided online

  • 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

  • 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.

  • 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

  • Machine Design PG_00059691

    e-Learning Courses
    • J. Łubiński

  • Selected Problems of Machine Dynamics II

    e-Learning Courses
    • M. K. Gerigk

    The following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES

  • Selected Problems of Machine Dynamics - advances

    e-Learning Courses
    • M. K. Gerigk

    The following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES

  • Selected Problems of Machine Dynamics - advances

    e-Learning Courses
    • M. K. Gerigk

    The following set of lectures is performed: 1. LECTURE No.1 - INTRODUCTION TO SELECTED PROBLEMS OF MACHINE DYNAMICS. STRUCTURES and MACHINES 2. LECTURE No.2 - ENVIRONMENT, LOADS ON STRUCTURES and MACHINES 3. LECTURE No.3 - DYNAMICS of STRUCTURES and MACHINES 4. LECTURE No.4 - STRENGTH of STRUCTURES and MACHINES 5. LECTURE No.5 - SPECIAL PROBLEMS ASSOCIATED with DYNAMICS and STRENGTH of STRUCTURES and MACHINES

  • Monte Carlo Methods - 2023/24

    e-Learning Courses
    • J. Franz

    This course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.

  • Computer aided machine design

    e-Learning Courses
    • J. Czyżewicz

  • Machine Design - selected problems

    e-Learning Courses
    • G. Rotta

  • Machine Design 3, PG_00042104

    e-Learning Courses
    • J. Łubiński

  • Machine Design PG_00059691 2024

    e-Learning Courses
    • J. Łubiński

  • 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.

  • Spectroscopy Methods in Nanotechnology 2023

    e-Learning Courses
    • A. Witkowska

    Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.

  • Spectroscopy Methods in Nanotechnology 2022

    e-Learning Courses
    • A. Witkowska

    Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.

  • Numerical Methods for Partial Differential Equations

    e-Learning Courses
    • M. Rewieński

    Course description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...

  • Fundamentals of Machine Design I

    e-Learning Courses
    • G. Rotta