Search results for: learning about natural phenomena - Bridge of Knowledge

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Search results for: learning about natural phenomena

Search results for: learning about natural phenomena

  • Pollutants Transport Phenomena

    e-Learning Courses
    • W. Artichowicz

    Introduction to heat and mass transfer phenomena in the environment.

  • 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.

  • 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.

  • e-Learning - user's guide for students

    e-Learning Courses

    e-Learning - user's guide for students

  • Pollutants transfer phenomena

    e-Learning Courses
    • W. Artichowicz

    Subject considering fundamentals of the heat and mass transfer in the environment.

  • [NCh, ICh] Physical Chemistry of Organic Compounds in Natural Waters

    e-Learning Courses

    {mlang pl} Dyscyplina: Nauki chemiczne Zajęcia obieralne dla doktorantów Prowadzący:  prof. dr hab. Tadeusz Górecki Liczba godzin: 15   {mlang} {mlang en} Discipline: Chemical science Elective course for  PhD students Academic teacher: prof. dr hab. inż. Tadeusz Górecki Total hours of training: 15 teaching hours {mlang}

  • 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

  • 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.

  • [NF] Physical Research Methods I: Computational methods for transport phenomena

    e-Learning Courses
    • K. Wiciak-Pawłowska
    • J. Franz

    {mlang pl} Dyscyplina: NF Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  Prof. Maurizio Dapor Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: NF Obligatory course for 1st and 2nd-year PhD students Academic teacher: Prof. Maurizio Dapor Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}    

  • Systemy z Uczeniem Maszynowym / Systems with Machine Learning

    e-Learning Courses
    • J. Cychnerski

  • Laboratorium Drgań i Zjawisk Falowych/Laboratory of vibrations and wave phenomena

    e-Learning Courses
    • P. J. Grygiel

  • Laboratorium drgań i zjawisk falowych / Laboratory of vibrations and wave phenomena

    e-Learning Courses
    • P. J. Grygiel
    • D. Maskowicz

    Specjalność: Fizyka stosowana (WFTiMS),I stopnia - inżynierskie, stacjonarne, 2020/2021 - zimowy (obecnie sem. 3)Specjalność: Inżynieria odnawialnych źródeł energii (WFTiMS),I stopnia - inżynierskie, stacjonarne, 2020/2021 - zimowy (obecnie sem. 3)

  • 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

  • Laboratorium Drgań i Zjawisk Falowych 2023/Laboratory of vibrations and wave phenomena 2023

    e-Learning Courses
    • P. J. Grygiel
    • D. K. Pelczarski

  • Laboratorium Drgań i Zjawisk Falowych 2024/Laboratory of vibrations and wave phenomena 2024

    e-Learning Courses
    • D. K. Pelczarski

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

    e-Learning Courses
    • J. Cychnerski

  • 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:...

  • Fundamentals of Electrotechnics and Electronics 1 [2022/23]

    e-Learning Courses
    • J. Horiszny

    Basic concepts in electrical engineering, analysis of electric circuits, phenomena occurring in electrical systems.

  • Intelligent information services 23/24

    e-Learning Courses
    • J. Szymański

    Information retrieval Text categorization Natural language processing

  • 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.

  • 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...

  • 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.

  • Energy Use Rationalization 2023/24 (Dezhou University)

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

    The e-learning course was designed for Dezhou University students @ GdańskTech

  • Construction project I

    e-Learning Courses
    • T. Zybała

    Learning how to prepare building elements, structural design of a single-family house

  • Bulilding structures and technologies III

    e-Learning Courses
    • T. Zybała

    Learning about technical issues related to the implementation of a construction project and a technical project.

  • Building structures and technologies I / CONSTRUCTION PROJECT II

    e-Learning Courses
    • T. Zybała
    • N. Hassas

    Learning about the technical issues involved in carrying out a construction project / architectural project.

  • 1 - E-TECH: Online education in practice for teachers. Foundations

    e-Learning Courses
    • A. Guzik
    • K. Dytrych

    This module has been designed to help teachers to get the very best out of online learning education. We've created it to support many aspects of your learning online. The aim is to provide skills to create and engage with your teaching materials online. After completion the course you can download your Certifacte. 

  • Structural Design and Mechanics I 2023/2024

    e-Learning Courses
    • T. Zybała

    Learning about the functioning of bar systems and preparing their static schemes, solving statically determinate bar systems (beams, frames, trusses).

  • Mikroekonomia_2 lato 2023/24

    e-Learning Courses
    • A. B. Mikulska

    Kontynuacja zajęć z mikroekonomii z sem. 1. Prowadząca dr Aniela Mikulska. Uczymy się wg metody flip blended learning.

  • Information Systems Security 2023

    e-Learning Courses
    • B. Czaplewski
    • M. Dzwonkowski
    • J. A. Litka

    The e-learning course for the Information Systems Security, in the field of Electronics and Telecommunications in the II degree studies (2nd year of studies, 3rd semester).

  • Information Systems Security 2023/2024

    e-Learning Courses
    • B. Czaplewski

    The e-learning course for the Information Systems Security, in the field of Electronics and Telecommunications in the II degree studies (2nd year of studies, 3rd semester).

  • Management and Economics 2022

    e-Learning Courses
    • B. Geniusz-Stepnowska

    Introduction to Management and Economics, Learning by Doing method based upon trends in geopolitics and modern economics frameworks,  strategy and Business Models Management Tools SEMESTR II Green Technologies and Monitoring

  • 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}

  • Surface Science - 2021/2022

    e-Learning Courses
    • L. Piotrowski

    The goal of the subject is the presentation of basic problems resulting from he existence of interfacebetween material objects and its surroundings. Discussion of the consequences arising from the existenceof surface energy. Analysis of possible applications of surface phenomena in technology. Understanding ofproblems and benefits resulting from decreasing dimensions of objects with the special emphasis on thesemiconductor band...

  • DYDAKTYCZNE PIĄTKI przy kawie

    e-Learning Courses
    • N. K. Gietka
    • K. Wrzask
    • J. Mytnik
    • M. Joskowski
    • M. Kostrzewska

    Przestrzeń dla nauczycieli akademickich. Rozmawiamy o dydaktyce, inspirujemy się wzajemnie, dzielimy doświadczeniami, wspieramy w szukaniu rozwiązań, stawiamy pytania, szukamy odpowiedzi.  Student-centered teaching, active learning. 

  • Fuel, Oils and Greases, W, E, sem.01, zimowy 22/23

    e-Learning Courses

    Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....

  • Fuel, Oils and Greases, W, E, sem.03, zimowy 22/23

    e-Learning Courses
    • P. Bzura

    Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....