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Search results for: POWER SUPPLY NETWORKS
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TRANSFER OF ELECTRIC ENERGY [2023/24]
e-Learning CoursesCourse content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage,...
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TRANSFER OF ELECTRIC ENERGY [2022/23]
e-Learning CoursesCourse content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage,...
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TRANSFER OF ELECTRIC ENERGY [2024/25]
e-Learning CoursesCourse content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage, power,...
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TRANSFER OF ELECTRIC ENERGY [2024/25]
e-Learning CoursesCourse content: Basic information on the structure of the power system, the major devices (components) for generation, transmission and distribution of electricity. Active and reactive power generation and their sources. Power supply networks. Tasks, structure, parameters. AC and DC transmission of electricity. Equivalent diagrams of the components of the power system. Steady state load flow calculation: currents, voltage,...
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PROJEKT ZESPOŁOWY [DK][2023/24]
e-Learning CoursesCCCLECTURE and Classes: Power supply systems for industrial facilities. Devices and main circuits of MV power stations. Short-circuit calculation. Power protection automation. Security classification according to American ANSI standards used in the EU. Microprocessor protection relays. Drive systems for medium power and medium voltage pumps. Roving inverters. PROJECT: Design of a MV switching station for a medium-power pumping...
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PROJEKT ZESPOŁOWY [ET][DK][2024/25]
e-Learning CoursesCCCLECTURE and Classes: Power supply systems for industrial facilities. Devices and main circuits of MV power stations. Short-circuit calculation. Power protection automation. Security classification according to American ANSI standards used in the EU. Microprocessor protection relays. Drive systems for medium power and medium voltage pumps. Roving inverters. PROJECT: Design of a MV switching station for a medium-power pumping...
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WATER SUPPLY AND WASTEWATER DISPOSAL
e-Learning CoursesThe 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...
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Computer Networks-laboratories - 2023
e-Learning CoursesAcquiring 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.
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Computer Networks laboratories 2024
e-Learning CoursesAcquiring 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.
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Computer Networks EN 2022
e-Learning CoursesThe 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.
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Computer Networks EN 2023
e-Learning CoursesThe 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.
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Nuclear Power
e-Learning CoursesNuclear Power is a course for student II degree in full-time studies at Chemistry Faculty, majoring in Green Technology and Monitoring.
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Deep neural networks for data analysis 24/25
e-Learning CoursesThis course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...
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Modeling the Networks - ed. 2021/2022
e-Learning CoursesThe 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.
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Water Supply and Wastewater Disposal - Nowy - Nowy
e-Learning CoursesKurs jest przeznaczony dla studentów 1 semestru studiów II stopnia stacjonarnych w języku angielskim - specjalność Environmental Engineering. Kurs ma na celu zapoznanie studentów z zagadnieniami dotyczącymi zasobów wodnych, ujęć i uzdatniania wody, odbioru, transportu i zagospodarowania ścieków i wód opadowych, ze szczególnym uwzględnieniem rozwiązań zdecentralizowanych (m.in. retencja i rozsączanie wód opadowych, rozwiązania kanalizacji...
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Computer Networks - lectures 2024/2025
e-Learning CoursesStudent uczy się: jak mówić o sieciach komputerowych - poznaje podstawowe pojęcia (np. protokół komunikacyjny), ich znaczenie i związki; jak sieci komuterowe są zbudowane i wykorzystywne - uczy się podstaw działania sieci (np. komutacja pakietów) i architektury sieci (np. płaszczyzny sieci) oraz poznaje podstawowe technologie sieciowe (np. protokół IP); jak sieci komputerowe ewoluują - poznaje historię rozwoju sieci, ewolucję wymagań,...
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Deep neural networks for data analysis
e-Learning CoursesThe 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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Analiza danych biznesowych z wykorzystaniem MS Excel – Power BI i Power Query
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Hanna Guze-moodle POWER 3.4
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Deep neural networks for data analysis 27/28
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Deep neural networks for data analysis 25/26
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Deep neural networks for data analysis 26/27
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Accounting in Power Industry [23/24]
e-Learning CoursesThe course is for Energy Technologies students
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Microbe Power and Diversity: in Health and Society
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Accounting in Power Industry [23/24] Nowy
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Accounting in Power Industry (WEiA) [24/25]
e-Learning CoursesThe course was created for "Energy Technologies" specialization.
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Microbe Power and Diversity: in Health and Society - wykład
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Analiza i wizualizacja danych w Power BI
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ASSESSMENT of PERFORMANCE of UMV (2024)
e-Learning Courses(W) Assessment of Performance of Unmanned Maritime Vehicles (W-Lecture) - DAPE - WIMiO AP-of-UMV (W) -DAPE - WIMiO The course entitled "Assessment of Performance of Unmanned Maritime Vehicles (W-Lecture)" is conducted for the DAPE WIMiO Students. The AP-of-UMV (W) course is to discuss the following problems: - major areas of application of UMV unmanned maritime vehicles, - sea environment, - types of UMV vehicles, -...
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 22/23
e-Learning CoursesThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 23/24
e-Learning CoursesThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 24/25
e-Learning CoursesThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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Fundamentals of Power Electronics [Energy Technologies][2020/21]
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Fundamentals of Power Electronics [Energy Technologies][2022/23]
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Fundamentals of Machinery Operation and Power Engineering Devices, PG_00042101
e-Learning CoursesSpecjalność: Energy Technologies (WOiO), I stopnia - inżynierskie, stacjonarne, 2018/2019 - zimowy (obecnie sem. 4) Specjalność: Energy Technologies (WM), I stopnia - inżynierskie, stacjonarne, 2018/2019 - zimowy (obecnie sem. 4) Specjalność: Energy Technologies (WEiA), I stopnia - inżynierskie, stacjonarne, 2018/2019 - zimowy (obecnie sem. 4)
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Elective Project II: MOVABLE HOUSE – the home of a Modern Nomad
e-Learning CoursesAs part of the elective seminar, students working in groups of 3 people will prepare architectural and lighting concept for an international competition: "MOVABLE HOUSE – The Home of a Modern Nomad " organized by the Polish Lighting Industry Association), co-organized by Goczołowie Architekci OVO Grąbczewscy Architects and the SOMA Agency, the organizer of the International LIGHT Fair. More information here about the competition...
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Analiza i wizualizacja danych z wykorzystaniem narzędzia Power BI
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Fundamentals of Power Electronics [Energy Technologies][EE][I][2023/24]
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Analiza i wizualizacja danych z wykorzystaniem narzędzia Power BI edycja lipcowa
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Analiza i wizualizacja danych z wykorzystaniem narzędzia Power BI grupa 2
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Water and Wind power stations, W/S, Energetyka sem. 6, letni, PG_00042089
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Analiza i wizualizacja danych z wykorzystaniem narzędzia Power BI edycja dla młodzieży
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Fundamentals of Machinery Operation and Power Engineering Devices, L, PE, sem. 5, zimowy 24/25
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Fundamentals of Machinery Operation and Power Engineering Devices, W, PE, sem. 5, zimowy 24/25
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Water and Wind Power Stations, PG_00042089, W/S, Energy Technologies, sem. 6, letni, 2022/2023
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Water and Wind Power Stations, PG_00042089, W/S, Energy Technologies, sem. 6, letni, 2023/2024
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Fundamentals of Machinery Operation and Power Engineering Devices, L, ENE, sem. 5, zima 2022/23 (PG_00042101)
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Fundamentals of Machinery Operation and Power Engineering Devices, W, PE, sem 05, zimowy 23/24 (PG_00042101)
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Fundamentals of Machinery Operation and Power Engineering Devices, L, ET, sem.5, zima 23/24 (PG_00042101)
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Deep Learning Basics 2023/24
e-Learning CoursesA 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.