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Search results for: EWMA ALGORITHMS
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Algorytmy Optymalizacji Dyskretnej - ed. 2021/2022
e-Learning CoursesIn real-world applications, many important practical problems are NP-hard, therefore it is expedient to consider not only the optimal solutions of NP-hard optimization problems, but also the solutions which are “close” to them (near-optimal solutions). So, we can try to design an approximation algorithm that efficiently produces a near-optimal solution for the NP-hard problem. In many cases we can even design approximation algorithms...
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Algorithms and Data Structures 2022
e-Learning CoursesWETI, DS, Algorithms and Data Structures
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Data Structures (Doctoral Studies) - New
e-Learning CoursesThe course is designed to provide students with the knowledge regarding basic data structures and associated algorithms used in broad range of applications. Students will also gain knowledge about how to evaluate the quality of algorithms in the context of time and space usage. Additionally, during seminars, students get familiar with biographies of most famous creators of the algorithms.
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Image Processing in Robotics (2021/2022)
e-Learning CoursesFor ISD M.Sc. (II degr.) 2 sem. Participants are to learn image processing algorithms related to transformation, filtration, feature detection (image descriptors), image processing algorithms in robotic industrial systems.
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Algorithms & Data Structures 2022/23
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Algorithms & Data Structures 23/24
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Data Structures (Doctoral Studies)
e-Learning CoursesThe course covers basic data structures and computer algorithms used in information tehcnology applications.
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Team Strategies - sem. 2022/23
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
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Team Strategies - sem. 2023/24
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
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Team Strategies - sem. 2024/25
e-Learning CoursesThe main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task
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Algorytmy równoległe i rozproszone/Parallel and distributed >> algorithms
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L22_23 Seminarium dyplomowe mgr. EwM SI2
e-Learning CoursesII stopień IBio - specjalność Sztuczna Inteligencja i EwM
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Monte Carlo Methods
e-Learning CoursesThis 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.
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Monte Carlo Methods - 2023/24
e-Learning CoursesThis 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.
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Monte Carlo Methods - 2024/25
e-Learning CoursesThis 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.
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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.
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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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Virtual team collaboration - Spring'24
e-Learning CoursesObjectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.
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Virtual team collaboration - Spring'24
e-Learning CoursesObjectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.
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Projektowanie układów VLSI
e-Learning CoursesThe lecture tackles the problem of VLSI circuits design. In particular, emphasis is put on the physical design stage and more in-depth discussion of its sub-components. The lecture also focus on detailed explanation of selected numerical algorithms that are utilized in the course of physical design. Specialization: Microelectronic Systems
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[EiF] Economic theory - macro
e-Learning Courses{mlang pl} Dyscyplina: Ekonomia i Finanse Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: dr hab. Ewa Lechman, prof. F. Reganati Liczba godzin: 30 h Forma zajęć: wykład {mlang} {mlang en} Discipline: Economics and Finance Obligatory course for 1st and 2nd year PhD students Academic teacher: dr hab. Ewa Lechman, prof. F. Reganati Total hours of training: 30 teaching hours Course type: lecture {mlang}
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Inżynieria Polimerów I - WYKŁAD i LABORATORIUM 2023/2024
e-Learning CoursesKierunek: Inżynieria Materiałowa (Studia I Stopnia - Semestr V) Rok Akademicki: 2023/2024 Odpowiedzialny za wykład: prof. dr hab. inż. Janusz Datta (Chemia C, p. 201) Odpowiedzialny za laboratorium: dr inż. Ewa Głowińska (Chemia C, p. 204)
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Ewa Testowy
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Aparatura i Maszyny w Przemyśle Tworzyw Sztucznych - WYKŁAD I SEMINARIA 2022/2023
e-Learning CoursesKierunek: Inżynieria Materiałowa (Studia I Stopnia - Semestr V) Specjalność: Inżynieria Materiałów Polimerowych Rok akademicki: 2022/2023 WYKŁAD: prof. dr hab. inż. Janusz Datta SEMINARIUM: dr inż. Ewa Głowińska
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Ewa Wawoczna, EXTRAS
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Ewa Wawoczna - EXTRA
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Seminarium dyplomowe inżynierskie (EwM)
e-Learning CoursesElektronika w medycynie
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Seminarium dyplomowe inżynierskie (EwM)
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Seminarium dyplomowe - Ewa Mazurek-Krasodomska
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Seminarium dyplomowe inżynierskie (EwM) - 2022/2023
e-Learning CoursesElektronika w medycynie
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Seminarium dyplomowe inżynierskie (EwM) - 2021/2022
e-Learning CoursesElektronika w medycynie
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Metody Projektowania Eksperymentu [EwM, 2024/25]
e-Learning CoursesWykład i zajęcia projektowe z Metod projektowania eksperymentu Elektronika w medycynie (WETI), I stopnia - inżynierskie, stacjonarne, 2024/2025 - zimowy (obecnie sem. 7)
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Ewa Jurkiewicz, WETI, sem 3 i 5
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Ewa Bieńkowska Kurs dla Pracowników Politechniki Gdańskiej
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Ewa Bieńkowska Culture Films, Texts & Quizes
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Ewa Wawoczna, FTiMS, Nanotechnologia I st., 3 semestr
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Ewa Jurkiewicz Koło Języka Hiszpańskiego, sem.letni 2019/20
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Seminarium dyplomowe mgr. EwM: 2021/2022 - lato 2022
e-Learning CoursesII stopień IBio - specjalność Elektronika w Medycynie
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Ewa Jurkiewicz, Koło Języka Hiszpańskiego, semestr letni 2020/21
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Ewa Jurkiewicz, FTiMS, Matematyka, st.II, sem 2, 2001/22
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Ewa Rogala, EiA, ET , st.II, sem. 3, 20/21l
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Ewa Jurkiewicz, Koło Języka Hiszpańskiego, sem. zimowy 2021/22
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Ewa Rogala ZASTĘPSTWO, Zarządzanie inż, zaoczne, sem.2 ONLINE
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Ewa Bieńkowska TiL Ist sem 1 2022/23 Z
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Ewa Jurkiewicz, Koło Języka Hiszpańskiego, sem. letni 2021/22
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Ewa Rogala, FTIMS, matematyka, 1 st, 2 sem, 21/22L
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Ewa Bieńkowska Telekom. 4 sem, I st, 22/23 l
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Ewa Rogala, FTIMS, matematyka, 1 st, 2 sem, 22/23L
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Ewa Wawoczna, WCH, II st, 1 semestr, 2020/2021 L
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Ewa Rogala, EiA, ET, II st, 3 sem, 21/22L
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