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total: 1036
filtered: 98
Search results for: data engineering
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Data Mining (for Data Engineering) - Nowy
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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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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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Operating systems (Data Engineering)
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Numerical Methods - Data Engineering
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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Numerical Methods - Data Engineering - 2023
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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Numerical Methods - Data Engineering - 2024
e-Learning CoursesInżynieria danych
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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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Repetytorium: POP + WAI + HiH (Data Engineering)
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Operating systems (Data Engineering) - 2023/24
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WETI (Data Engineering) - Mathematics 2021/22 (M.Musielak)
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WETI (Data Engineering) - Mathematics 2022/23 (M.Musielak)
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WETI (Data Engineering) - Mathematics 2019/20 (M.Musielak)
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WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)
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WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)
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Benjamin Sempek, WETI+WZIE, Data Engineering, st I, sem2, 22/23l
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Witold Zbirohowski-Kościa, ZiE i ETI, Data Engineering, I st, sem 5, 21/22z
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Małgorzata Piechocińska WETI+WZiE Inż. Danych/Data Engineering I st. 2 sem. 22/23 l
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Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 2 - Inżynieria Danych / Data Engineering - sem. 7 - 2023/2024
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Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 1 - Inżynieria Danych / Data Engineering - sem. 6 - 2023/2024
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Descriptive & mathematical statistics 2019
e-Learning CoursesDescriptive Statistics for Data Engineering 2019
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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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Applications of Geographic Information Systems
e-Learning CoursesFirst degree studies Data Engineering
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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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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 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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Software Engineering 2022/2023
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Software Engineering 2023/2024
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Basics of Physics_21/22
e-Learning CoursesField of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.
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Basics of Physics_22/23
e-Learning CoursesField of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.
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Basics of Physics_23/24
e-Learning CoursesField of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.
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Mathematical Statistics (2022/23)
e-Learning CoursesMathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23
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Nonrelational Databases DE 2023_2024
e-Learning CoursesThis course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.
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Mathematical Statistics (2023/24)
e-Learning CoursesMathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24
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Nonrelational Databases DE 2022_2023
e-Learning CoursesWithin this course the four types of non-relational databases (i.e. document, graph, key-value and column-oriented) are discussed. The course is aimed at students of the 5th semester of data engineering.
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Descriptive Statistics - summer 2022
e-Learning CoursesDescriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22
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Descriptive Statistics with R
e-Learning CoursesDescriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23
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Team project I (2020/21)
e-Learning CoursesWithin this team project, students will be designing a space mission. Each student will choose a subsystem: mission analysis, propulsion, communication, structure, mechanisms, power, thermal, onboard data handling. Together, by means of concurrent engineering a primary system definition will be completed.
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Descriptive Statistics 2024
e-Learning CoursesDescriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24
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CM - Elementy Algebry Abstakcyjnej
e-Learning Courses{mlang pl}Kurs wspomagający nauczanie przedmiotu Algebra Liniowa na kierunku Informatyka, WETI oraz przedmiotu Linear Algebra kierunku Inżynieria Danych, WETI.{mlang} {mlang en}The course aimed at students of Informatics and Data Engineering in support of Linear Algebra class.{mlang}
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Podstawy Programowania 2022/23 (Informatyka & Inżynieria Danych)
e-Learning Courses{mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}
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Podstawy Programowania 2021/22 (Informatyka)
e-Learning Courses{mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}
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Podstawy Programowania 2023/24 (Informatyka & Inżynieria Danych)
e-Learning Courses{mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}
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PG-00060238 Standardy integralności mechanicznej dla inżynierii cyfrowej opartej na danych
e-Learning CoursesKurs w zrozumiały sposób wyjaśnia praktyki inżynierskie dotyczące oceny mechanizmów awarii elementów mechanicznych, metody Stress-Life i Strain-Life, techniki liczenia cykli. Wyjaśnione modele oparte na wiedzy analitycznej są odniesione do potrzeb monitorowania silnika, które generuje dane pracy urządzeń u klientów. Dane te są wykorzystywane w rozwiązaniach inżynierii cyfrowej, takich jak digital twin (dla części) lub digital thread...
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Big Data processing frameworks - 2022
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies