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Search results for: data%20analysis
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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)
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WZiE - Zarządzanie - Matematyka I i II, 2017/2018 (M. Wata)
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Energetyka - Matematyka II wykład 2018/19 (M.Wata)
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WZiE - Z inż. - Matematyka 2018/19 (M.Wata)
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WZiE - Zarządzanie - Równania różniczkowe pierwszego rzędu 2017/18 (M.Wata)
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WZiE - Zarządzanie - Matematyka I i II, 2020/2021 (M. Wata)
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WZiE - Management - Mathematics 2017/2018 (M. Wata)
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WETI - EiT 2 stopień - Matematyka (M.Wata)
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WETI Matematyka - Informatyka gr. 7 - ćwiczenia (M.Wata)
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WZiE - Zarządzanie - Matematyka I i II, 2015/2016 (M. Wata)
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PhD SEMINAR
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Big Data processing frameworks - 2022
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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DATA MINING STAC 2022/2023
e-Learning CoursesSTAC
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Big Data processing frameworks - 2023
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Advanced Data Mining 2022/23
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Numerical Methods - Data Engineering - 2023
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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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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Big Data processing frameworks - 2024
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Analiza danych typu Big Data
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Numerical Methods - Data Engineering - 2024
e-Learning CoursesInżynieria danych
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Business Data Analytics-2023 /2024
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Inżynieria Danych Data Science 2024
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Advanced Data Mining 2023/24
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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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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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Financial Analysis exercises - New (copy)
e-Learning CoursesTo obtain theoretical and practical experience of financial and economic analysis. Methods of economic analysis: Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis.
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Financial Analysis exercises - New
e-Learning CoursesTo obtain theoretical and practical experience of financial and economic analysis. Methods of economic analysis: Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis.
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Advanced methods in biosensing: fundamentals and applications
e-Learning CoursesThis course provides instruction in the basic science and engineering conceptsrequired to understand the design and application of biosensors. Different biosensorsystems are explored, ranging from electrochemical devices, through to optical orthermal systems. Instruction is also given in the general principles of sampling andanalysis, statistical presentation and manipulation of data. The primary focus will bethe physics of biomolecule...
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Magnetism from fundamentals to spintronics 22/23
e-Learning Courses1. Basic magnetic quantities2. Magnetism of atoms and molecules, atoms in external magnetic fields3. Solid state magnetism, types of magnetic materials (dia-, para-, and ferromagnetism)4. Ferromagnetism and domain structures5. Magnetism of small particles, single domain particles (StonerWohlfarth model), thin films6. Experimental techniques of magnetic properties and magnetisation state determination. Domain structurevisualisation...
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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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Algorithms & Data Structures 2022/23
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Algorithms & Data Structures 23/24
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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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[Soft Skills] Writing grant application
e-Learning Courses{mlang pl} Dyscyplina: soft skills Zajęcia obowiązkowe dla doktorantów II roku, Prowadzący: mgr Renata Downar-Zapolska Liczba godzin: 5 Forma zajęć: online Data:15.06.2023 {mlang} {mlang en} Discipline: soft skills Obligatory course for 2nd-year PhD students Academic teacher: mgr Renata Downar-Zapolska Total hours of training: 5 teaching hours Course type: online Date: 15.06.2023 {mlang}
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Mathematical Statistics (2022/23)
e-Learning CoursesMathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23