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Search results for: —TRANSFER LEARNING, DEEP LEARNING, PROTEIN STRUCTURE, FUNCTION, AND INTERACTION PREDICTION, SEQUENCE MODELLING
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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 Learning w Keras
e-Learning CoursesKurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.
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E-learning courses
e-Learning CoursesStrona 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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e-Learning - user's guide for students
e-Learning Coursese-Learning - user's guide for students
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Desiging e-learning courses and distance learning (level 1. certified course)
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Blended Learning Tasks 2
e-Learning CoursesKurs dla Wydziału Mechanicznego
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Blended Learning Tasks 6
e-Learning CoursesKurs dla Wydziału Architektury
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Blended Learning Tasks 4
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Blended Learning Tasks 1
e-Learning CoursesKurs dla Wydziału Mechanicznego
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Blended Learning Tasks 5
e-Learning CoursesKurs dla ETI
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Blended Learning Tasks 3
e-Learning CoursesKurs dla WILiŚ
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E-learning workshops with Norbert Berger
e-Learning CoursesThe 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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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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Systemy z Uczeniem Maszynowym / Systems with Machine Learning
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Projektowanie zajęć prowadzonych na odległość (10h e-learning)
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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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Pollutants transfer phenomena
e-Learning CoursesSubject considering fundamentals of the heat and mass transfer in the environment.
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Human Computer Interaction
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Selected prtoblems of heat ans mass transfer
e-Learning CoursesThew lecture presentes advanced topics in heat ans mass transfer
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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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[NCh-bio] Advances in Biotechnology: Protein Folding and Assembly
e-Learning Courses{mlang pl} Dyscyplina: nauki chemiczne Zajęcia obowiązkowe dla doktorantów I i II roku z obszaru biotechnologii Prowadzący: dr hab. Gracjana Klein-Raina, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: chemical sciences Obligatory course for 1st and 2nd-year PhD students from biotechnology area Academic teachers: dr hab. Gracjana Klein-Raina, prof. PG Total hours of training: 15 teaching...
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Polymeric materials in medicine – structure and desing 2023/24
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Business process modelling
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Business process modelling
e-Learning CoursesWelcome to the Business Process Modeling course! We will travel together among the business processes world and its modeling with the BPMN ;) I hope it will be valuable for your future. See you soon, Marzena Grzesiak
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Human Computer Interaction 2018/19
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Human-Computer Interaction ID 2022/2023
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Human-Computer Interaction ID 2021/2022
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Human-Computer Interaction ID 2023/2024
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Modelling in machine design (PG_00057377)
e-Learning Coursesgoal of the subject is to show how simple enginnering models reflect the reality and how contemporary FEM calulations can illustrate the operation of machine elements
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Heat transfer and heat exchangers
e-Learning CoursesOmówienie głównych mechanizmów i praw przenoszenia ciepła. Przykłady rozwiązywania zagadnień z przewodzenia ciepła, konwekcji i radiacji. Podstawy teorii rekuperatorów. Przykłady obliczania pół powierzchni rekuperatorów.
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Mathematical and numerical modelling, L, IDE, sem. 01, summer 21/22,(M:00057379)
e-Learning CoursesModelling. Optimal control. Modal analysis. High speed milling. Mechatronic design.
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Human-Computer Interaction, sem. letni 2018/2019
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Transfer Technologii - zima 2023/2024
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Modelling methods in design (CAD, FEM)
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Modelling in machine design (PG_00057377)_2024
e-Learning CoursesMachine Design - selected problems is a subject in which we will deepen understanding of selected topics from FMD course
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TRANSFER OF ELECTRIC ENERGY [2021/22]
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Selected problems of heat and mass transfer
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Selected problems of heat and mass transfer
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Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)
e-Learning CoursesModelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...
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Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)
e-Learning CoursesProject on Mathematical and numerical modelling.
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Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)
e-Learning CoursesProject on Mathematical and numerical modelling.
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Heat and mass transfer in lack of gravity
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Heat and mass transfer in lack of gravity
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Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)
e-Learning CoursesModelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...
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[IMe] Selected problems of heat and mass transfer
e-Learning Courses{mlang pl} Dyscyplina: Inżynieria mechaniczna (PG + IMP PAN) Zajęcia obowiązkowe Prowadzący: prof. dr. hab. inż. Dariusz Mikielewicz Liczba godzin: 20 h Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering (GUT + IFFM PAS) Obligatory course Academic teacher: prof. dr. hab. inż. Dariusz Mikielewicz Total hours of training: 20 teaching hours Course type: lecture {mlang}
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Transfer Technologii - ZIMA 2022/2023 - sem VII
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Podstawy uczenia głębokiego 2022
e-Learning Courses{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}