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Search results for: DATA DUPLICATION
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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 Mining (for Data Engineering) - Nowy
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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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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 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 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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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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Advanced data mining
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Descriptive & mathematical statistics 2019
e-Learning CoursesDescriptive Statistics for Data Engineering 2019
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Projektowanie Aplikacji Internetowych 2022/23
e-Learning Courses{mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...
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Projektowanie Aplikacji Internetowych 2023/24
e-Learning Courses{mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...
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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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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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Spatial data processing technologies
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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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Data Structures (Doctoral Studies)
e-Learning CoursesThe course covers basic data structures and computer algorithms used in information tehcnology applications.
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Business Data Analytics-2022
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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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Operating systems (Data Engineering)
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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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DATA MINING NSTAC 2022
e-Learning CoursesNSTAC
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Inżynieria Danych Data Science
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Numerical Methods - Data Engineering
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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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 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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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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Data Mining 2023/24
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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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Applications of Geographic Information Systems
e-Learning CoursesFirst degree studies Data Engineering
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Visualization of Economic Data - 2022
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Algorithms and Data Structures 2022
e-Learning CoursesWETI, DS, Algorithms and Data Structures
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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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Project application workshops_Inter PhDII_chemistry
e-Learning Coursesdisciplinary field: chemistry / The aim of the course is to provide the necessary information related to the search for sources of funding for scientific research and development work, with particular emphasis on competitions addressed to young researchers. Procedures for writing grant applications will be presented.
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Application of Mathematics in Technology for Dezhou University, 2022
e-Learning CoursesApplication of Mathematics
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Application of AI Methods in Enterprise
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Advanced Nonrelational Databases DE 2022/2023
e-Learning CoursesThe course is addressed to bachelor-students in the field of data engineering in the fifth semester.
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Advanced Nonrelational Databases DE 2023/2024
e-Learning CoursesThe course is addressed to bachelor-students in the field of data engineering in the fifth semester.
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Application of Mathematics in Technology, ET, sem. 3, winter 2022/2023, (PG_00049767)
e-Learning CoursesApplication of Mathematics lectures and exercises
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Geotechnics 2023/2024
e-Learning CoursesThe course is divided into two parts: 1) Interpretation of in-situ tests and their application to foundation design 2) Soil models, interpretation of laboratory tests and their application to numerical analysis in geotechnics
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Economics and Organisation of Enterprises - winter term 22/23
e-Learning CoursesThis course is intended for students of the first semester of Data Engineering (inter-faculty program in English)
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Economics and Organisation of Enterprises - winter term 24/25
e-Learning CoursesThis course is intended for students in the first semester of Data Engineering (inter-faculty program in English).
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Economics and Organisation of Enterprises - winter term 23/24
e-Learning CoursesThis course is intended for students of the first semester of Data Engineering (inter-faculty program in English)
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WETI (Informatyka) - Matematyka ćwiczenia gr. 5 (M.Wata)
e-Learning CoursesMateriały uzupełniające do ćwiczeń z matematyki dla Inf gr 5 (2015/2016)
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WZiE - Zarządzanie lic. ang. - e-test 2019/20
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WETI - EiT - Mathematics 2017/2018 (M. Wata)
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WZiE - Zarządzanie - Liczby zespolone 2017/18 (M. Wata)
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WZiE - Matematyka II 2018/19 (M.Wata)
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En - Matematyka 1 2018/19 (M.Wata)
e-Learning Courses