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Catalog
- Publications 7888 available results
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Chosen catalog filters
Search results for: DATA DUPLICATION
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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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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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[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: {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: {mlang}
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[Soft Skills] Writing grant application
e-Learning CoursesWriting grant application, 5 h., Teacher: Renata Downar-Zapolska, GUT Schedule: 20 & 21 April 2022, time: 15:45-18:00
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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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2022-2023 - Assessment of performance of unmanned maritime vehicles (USV, UUV, AUV) by CFD and MES investigation, PG_00053662
e-Learning CoursesThe course entitled "APofUMV Assessment of Performance of Unmanned Maritime Vehicles (W-lecture) is mainly conducted for the DAPE Course Students. The lectures (W) are closely connected with the project exercises (P) where some examples for the data designs are conducted. All the AP of UMV lectures are connected with presentation following problems: - major areas of application of UMV unmanned maritime vehicles, - sea environment...
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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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Business Data Analytics-2024 /2025
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Data analysis - team project 2024
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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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Big Data ST (2024/2025_zima)
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Inżynieria Danych Data Science 2024
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Advanced Data Mining 2023/24
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Project application workshops_InterPhDII_civil and environmental engineering
e-Learning Coursesdisciplinary field: WILiŚ / 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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DATA MINING NSTAC 2022 ON-LINE
e-Learning CoursesNSTAC
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Business data semantics and representation 2023
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Visualization of economic data 2024/2025
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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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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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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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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 2024/2025
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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"Pavia Digi Week" - 2023
e-Learning CoursesSummer School within BIP Digipla and future VREA EMJM project application
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Analiza danych typu Big Data 2024/25
e-Learning CoursesThe aim of the course is to familiarize students with the methods of acquiring, storing, and analyzing big data. Practical tools for these tasks are presented.
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Technical Physics 2024/25
e-Learning CoursesField of study: Data Engineering; Subject: Technical physics; Lecture notes and other course materials.
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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)
e-Learning Courses