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Chosen catalog filters
Search results for: high-frequency data
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Inżynieria Danych Data Science 2024
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Advanced Data Mining 2023/24
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Systemy obliczeniowe wysokiej wydajności/High performance computing >> systems - Nowy - Nowy
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DATA MINING NSTAC 2022 ON-LINE
e-Learning CoursesNSTAC
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Business data semantics and representation 2023
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Business data semantics and representation - 2024
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Business data semantics and representation 2024
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Visualization of Economic Data - 2023/24
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Repetytorium: POP + WAI + HiH (Data Engineering)
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Qualitative Data Analysis Methods -Summer 2022
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Operating systems (Data Engineering) - 2023/24
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Algorithms & Data Structures 2022/23
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Algorithms & Data Structures 23/24
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[ITiT] Technologies of Spatial Data Analysis and Processing
e-Learning Courses{mlang pl} Dyscyplina: Informatyka Techniczna i Telekomunikacja Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: dr hab. inż. Marcin Kulawiak Liczba godzin: 30 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Technical Informatics and Telecommunications Obligatory course for 2nd year PhD students Academic teacher: dr hab. inż. Marcin Kulawiak Total hours of training: 30 teaching hours Course...
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Scientific methods of computer data analysis and presentation
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Qualitative Data Analysis Methods -Summer 22/23
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Data Warehouses - Part-time studies - 2022/2023
e-Learning CoursesThe curse is led for part-time studies, on the first semester of postgraduate studies.
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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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Data Warehouses - Part-time studies - 2023/2024
e-Learning CoursesThe curse is led for part-time studies, on the first semester of postgraduate studies.
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Analiza danych typu Big Data 2023/24
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WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)
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DATA MINING (Field of study: Economic analytics 1st semester) -2022
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WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)
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[AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023
e-Learning Courses{mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}
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[AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024
e-Learning Courses{mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}
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Benjamin Sempek, WETI+WZIE, Data Engineering, st I, sem2, 22/23l
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W. Zbirohowski-Kościa WZiE i WETI, Data Eng, I st, sem 2, 21/22l
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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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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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Przestrzenie Inteligentne - 2022/2023
e-Learning CoursesCelem przedmiotu jest wprowadzenie do zagadnień praktycznych przestrzeni inteligentnych (np. inteligentny dom wykorzystujący urządzenia IoT, inteligentna fabryka w ramach Przemysłu 4.0, etc.) w oparciu o przetwarzanie sygnałów radiowych RF (ang. radio frequency) w celu dostarczenia wymaganych funkcjonalności w bezprzewodowych systemach wbudowanych.
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Przestrzenie Inteligentne - 2023/2024
e-Learning CoursesCelem przedmiotu jest wprowadzenie do zagadnień praktycznych przestrzeni inteligentnych (np. inteligentny dom wykorzystujący urządzenia IoT, inteligentna fabryka w ramach Przemysłu 4.0, etc.) w oparciu o przetwarzanie sygnałów radiowych RF (ang. radio frequency) w celu dostarczenia wymaganych funkcjonalności w bezprzewodowych systemach wbudowanych.
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Descriptive & mathematical statistics 2019
e-Learning CoursesDescriptive Statistics for Data Engineering 2019
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Technology and Energy Conversion Machines - Nowy
e-Learning CoursesThe course covers the basics of mechanical, electrical and thermal energy production in industry and maritime transport. Describes installations supporting high-power engines. Particular attention has been paid to the fuel systems of internal combustion engines. The treatment of engine exhaust gases is described.
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Technology and Energy Conversion Machines - Nowy kopiuj 1
e-Learning CoursesThe course covers the basics of mechanical, electrical and thermal energy production in industry and maritime transport. Describes installations supporting high-power engines. Particular attention has been paid to the fuel systems of internal combustion engines. The treatment of engine exhaust gases is described.
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Technology and Energy Conversion Machines
e-Learning CoursesThe course covers the basics of mechanical, electrical and thermal energy production in industry and maritime transport. Describes installations supporting high-power engines. Particular attention has been paid to the fuel systems of internal combustion engines. The treatment of engine exhaust gases is described.
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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.