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Filtry wybranego katalogu
Wyniki wyszukiwania dla: learning about natural phenomena
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Pollutants Transport Phenomena
Kursy OnlineIntroduction to heat and mass transfer phenomena in the environment.
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E-learning courses
Kursy OnlineStrona 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.
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Machine learning for PhD students
Kursy OnlineAn introductory course in machine learning for PhD students from Department of Geotechnical and Hydraulic Engineering
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Pollutants transfer phenomena
Kursy OnlineSubject considering fundamentals of the heat and mass transfer in the environment.
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Deep Learning Basics 2023/24
Kursy OnlineA 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.
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e-Learning - user's guide for students
Kursy Onlinee-Learning - user's guide for students
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[NCh, ICh] Physical Chemistry of Organic Compounds in Natural Waters
Kursy Online{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}
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Desiging e-learning courses and distance learning (level 1. certified course)
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Blended Learning Tasks 2
Kursy OnlineKurs dla Wydziału Mechanicznego
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Blended Learning Tasks 6
Kursy OnlineKurs dla Wydziału Architektury
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Deep Learning w Keras
Kursy OnlineKurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.
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Blended Learning Tasks 4
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Blended Learning Tasks 1
Kursy OnlineKurs dla Wydziału Mechanicznego
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Blended Learning Tasks 5
Kursy OnlineKurs dla ETI
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Blended Learning Tasks 3
Kursy OnlineKurs dla WILiŚ
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E-learning workshops with Norbert Berger
Kursy OnlineThe 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.
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Basics of Deep Learning 24/25
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[NF] Physical Research Methods I: Computational methods for transport phenomena
Kursy Online{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}
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Laboratorium Drgań i Zjawisk Falowych/Laboratory of vibrations and wave phenomena
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Laboratorium drgań i zjawisk falowych / Laboratory of vibrations and wave phenomena
Kursy OnlineSpecjalność: 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)
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Systemy z Uczeniem Maszynowym / Systems with Machine Learning
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Projektowanie zajęć prowadzonych na odległość (10h e-learning)
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Koło naukowe CJO - Tech-Enhanced English Learning (TEEL)
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Laboratorium Drgań i Zjawisk Falowych 2024/Laboratory of vibrations and wave phenomena 2024
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Laboratorium Drgań i Zjawisk Falowych 2023/Laboratory of vibrations and wave phenomena 2023
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„Active learning w praktyce” - 17. Szkolenie certyfikowane 13.12.2022 r.
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„Active learning w praktyce” - 4. Szkolenie certyfikowane 21.10.2022 r.
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Systemy z Uczeniem Maszynowym / Systems with Machine Learning 2022/2023
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Deep neural networks for data analysis
Kursy OnlineThe 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:...
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Intelligent information services 23/24
Kursy OnlineInformation retrieval Text categorization Natural language processing
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Fundamentals of Electrotechnics and Electronics 1 [2022/23]
Kursy OnlineBasic concepts in electrical engineering, analysis of electric circuits, phenomena occurring in electrical systems.
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Random Processes 2022/2023
Kursy OnlineThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
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Random Processes 2023/2024
Kursy OnlineThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
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Random Processes 2024/2025
Kursy OnlineThe e-learning course page for the purpose of the remote or hybrid learning for Random Processes.
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Elective Project I _ Shelter_learning by doing
Kursy OnlineElective 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...
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Elements of Discrete Mathematics 2023
Kursy OnlineThis course helps with learning Elements of Discrete Mathematics.
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Elements of Discrete Mathematics 2022
Kursy OnlineThis course helps with learning Elements of Discrete Mathematics.
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Elements of Discrete Mathematics 2024
Kursy OnlineThis course helps with learning Elements of Discrete Mathematics.
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Podstawy uczenia maszynowego AI
Kursy OnlinePodstawy uczenia maszynowego. Machine Learning fundamentals.
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EUR 2024-5 DZU
Kursy OnlineThe e-learning course was designed for Dezhou University students @ GdańskTech
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Energy Use Rationalization 2023/24 (Dezhou University)
Kursy OnlineThe e-learning course was designed for Dezhou University students @ GdańskTech
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Construction project I
Kursy OnlineLearning how to prepare building elements, structural design of a single-family house
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Bulilding structures and technologies III
Kursy OnlineLearning about technical issues related to the implementation of a construction project and a technical project.
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Building structures and technologies I / CONSTRUCTION PROJECT II
Kursy OnlineLearning about the technical issues involved in carrying out a construction project / architectural project.
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1 - E-TECH: Online education in practice for teachers. Foundations
Kursy OnlineThis 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.
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Information Systems Security 2024/2025
Kursy OnlineThe e-learning course for the Information Systems Security, in the field of Electronics and Telecommunications in the II degree studies.
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Structural Design and Mechanics I 2023/2024
Kursy OnlineLearning about the functioning of bar systems and preparing their static schemes, solving statically determinate bar systems (beams, frames, trusses).
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Design of measurement systems in integrated programming environments [2024/25]
Kursy OnlineThe winter school on "Design of Measurement Systems in Integrated Programming Environments" as a part of the educational offering of the INNOVATIVE LEARNING CAMPUS within the ENHANCE+ Alliance.
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Mikroekonomia_2 lato 2023/24
Kursy OnlineKontynuacja zajęć z mikroekonomii z sem. 1. Prowadząca dr Aniela Mikulska. Uczymy się wg metody flip blended learning.
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Information Systems Security 2023
Kursy OnlineThe 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).