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Search results for: CONVOLUTIONAL NEURAL NETWORK, PEDESTRIAN DETECTION, ROBUSTNESS, STYLE-TRANSFER, DATA AUGMENTATION, UNCERTAINTY ESTIMATION
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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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Change Detection in Signals 2023
e-Learning CoursesChange Detection in Signals - files for students.
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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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Style w Muzyce
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Style w muzyce - 2023/2024
e-Learning CoursesZapoznanie się z twórcami i twórczością okresu renesansu, baroku, klasycyzmu, XX i XXI wieku. Poznanie rodzajów zespołów w muzyce klasycznej i rozrywkowej, instrumentariów i sposobu zapisu muzycznego. Poznanie gatunków muzycznych w ujęciu historycznym.
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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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Data Mining Path
e-Learning CoursesWithin this path, various issues regarding data mining and their practical application in various systems are discussed. 4 semestr specjalności ISI i ZAD
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Data Analysis 2023/24
e-Learning CoursesData Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24
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Data Warehouses 2023/2024
e-Learning CoursesThe aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.
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Data Mining 2022/2023
e-Learning CoursesThis is a web page for our course in Data Mining.
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Data Mining 2021/2022
e-Learning CoursesThis is a web page for our course in Data Mining.
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Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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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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Data Warehouses DE 2022/2023
e-Learning CoursesThe aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.
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Data Warehouses DE 2023/2024
e-Learning CoursesThe aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.
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Algorithms and Data Structures 2022
e-Learning CoursesWETI, DS, Algorithms and Data Structures
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Data Warehouses 2022/2023
e-Learning CoursesThe aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Informatics - 5th semester.
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Technical physics (Data Engineering)
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
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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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Databases (Data Engineering) - 2022
e-Learning CoursesThe course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course.
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Databases (Data Engineering) - 2023
e-Learning CoursesThe course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course.
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Big Data processing frameworks - 2022
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Big Data processing frameworks - 2023
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Big Data processing frameworks - 2024
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Data Quality Assurance 2024
e-Learning CoursesData quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Paweł Weichbroth Wykład: odbywają się zdalnie. Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu
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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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Data quality assurance - 2023
e-Learning CoursesData quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Andrzej Wardziński Wykład: od 13 marca, poniedziałki 13:15 sala NE Audytorium 2 Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu
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Data Mining (for Data Engineering) - Nowy
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Technical physics (Data Engineering)_22/23
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
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Technical physics (Data Engineering)_23/24
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
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Basics of Data Warehouses Path
e-Learning CoursesWithin this path the basic aspects of data warehouses (architecture, star schema, etc.) are discussed. The course is intended for students of the 1st degree of Informatics Field (semester 5) - Kurs planowany dla studentów I stopnia kierunku informatyka (semestr 5) - przedmiot Hurtownie danych oraz dla studentów II stopnia kierunku informatyka, specjalność ZAD.
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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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Transfer Technologii - zima 2023/2024
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Pedestrian crossing safety management - Erasmus + European Road Safety Partnership EuroS@P
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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 [2021/22]
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Analiza danych typu Big Data 2022/23
e-Learning CoursesThe aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.
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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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Heat and mass transfer in lack of gravity
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Heat and mass transfer in lack of gravity
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Analiza danych typu Big Data 2023/24 KOPIA
e-Learning CoursesThe aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.
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Big Data 2023
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Data quality assurance
e-Learning CoursesThe first lecture: 22.02.2021 at 8:15 on Teams Pierwszy wykład: 22.02.2021 o 8:15 w Teams ---------------------------------------------- Kierunek: Inżynieria danych (WETI) Studia I stopnia - inżynierskie, stacjonarne, semestr 6
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Transfer Technologii - ZIMA 2022/2023 - sem VII
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Transfer of Electric Energy Dezhou University 2023/2024
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Spatial data processing technologies
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Business Data Analytics-2022
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Operating systems (Data Engineering)
e-Learning Courses