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.

• 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

• 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.

• Pollutants transfer phenomena

  e-Learning Courses

  • W. Artichowicz

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

• e-Learning - user's guide for students

  e-Learning Courses

  e-Learning - user's guide for students

• [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.

• Basics of Deep Learning 24/25

  e-Learning Courses

  • K. Draszawka

• [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}    

• 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)

• 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

• Koło naukowe CJO - Tech-Enhanced English Learning (TEEL)

  e-Learning Courses

  • M. Babiński
  • T. Kuczyński
  • I. Mokwa-Tarnowska
  • M. Rejmak
  • J. Sochacki
  • M. Frąckowiak

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

  e-Learning Courses

  • D. K. Pelczarski

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

  e-Learning Courses

  • P. J. Grygiel
  • D. K. Pelczarski

• „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

• 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:...

• Intelligent information services 23/24

  e-Learning Courses

  • J. Szymański

  Information retrieval Text categorization Natural language processing

• 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.

• 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.

• Random Processes 2024/2025

  e-Learning Courses

  • V. Waladi
  • 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.

• EUR 2024-5 DZU

  e-Learning Courses

  • W. Stahl
  • M. Jaskólski

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

• 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