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Search results for: EXPERIMENTAL%20DATA
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Experimental Nanotechnology
e-Learning Courses -
Experimental nanotechnology / Nanotechnologia Eksperymentalna
e-Learning Courses -
Fluid Mechanics, W/C, EaPE (Dezhou), sem.5, zimowy 23/24 (PG_00059698)
e-Learning CoursesObjective of the subject is to supply the student with the theoretical and practical knowledge, enabling him to solve engineering computational and experimental problems related to fluid mechanics.
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Surface Chemistry & Experimental Techniques
e-Learning Courseswykłady prowadzone przez prof. G. Jerkiewicza
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 22/23
e-Learning CoursesThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 23/24
e-Learning CoursesThe course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...
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[IMa] Experimental Methods for Materials Characterisation
e-Learning Courses{mlang pl} Dyscyplina: inżynieria materiałowa Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: A. Mielewczyk-Gryń, M. Szkodo, B. Bochentyn, J. Ryl Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: materials engineering Obligatory course for 1-st and 2nd-year PhD students Academic teachers: M. Gazda, A. Lisowska-Oleksiak, A. Mielewczyk-Gryń, R. Bogdanowicz, T. Klimczuk, Ł. Piszczyk,...
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[IMa] Experimental Methods for Materials Characterisation - 2024
e-Learning Courses{mlang pl} Dyscyplina: inżynieria materiałowa Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: R. Bogdanowicz, J. Karczewski, T. Klimczuk, S. Molin, M. Strankowski, N. Wójcik, Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: materials engineering Obligatory course for 1-st and 2nd-year PhD students Teachers: R. Bogdanowicz, J. Karczewski, T. Klimczuk, S. Molin, M. Strankowski, N....
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Synthesis Methods of nanomaterials & Experimental nanotechnology
e-Learning Courses -
Planowanie badań doświadczalnych,Wykład,IMM II st,letni 2023-2024 (PG_00057484)
e-Learning CoursesCelem przedmiotu jest zaprezentowanie metod stosowanych do planowania badań doświadczalnych oraz opracowania wyników tych badań The aim of the subject is to present methods used to plan experimental testing and elaborate the results of the testing
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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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Planning of experiments and error analysis, W, MiBM, letni 21/22 (PG_00057374)
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Planning of experiments and error analysis, C, MiBM, letni 21/22 (PG_00057374)
e-Learning Courses -
Methods of Experiment Design, W, E, sem.01, letni 22/23 (PG_00057505)
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Methods of Experiment Design, W, E, sem.01, letni 21/22 (PG_00057505)
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Methods of Experiment Design, S, E, sem.01, letni 21/22 (PG_00057505)
e-Learning Courses -
Methods of Experiment Design, S, E, sem.01, letni 22/23 (PG_00057505)
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Methods of Experiment Design, W/S, Energetyka, sem. 1, letni, 2023/24
e-Learning Courses -
Planning of experiments and error analysis, C, IDE, sem.01, letni 22/23 (PG_00057374)
e-Learning Courses -
Planning of experiments and error analysis, W, IDE, sem.01, letni 22/23 (PG_00057374)
e-Learning Courses -
Planning of experiments and error analysis, W/C, IDE, sem. 1, letni, 2023/24
e-Learning Courses -
Data Mining (for Data Engineering) - Nowy
e-Learning Courses -
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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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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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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Descriptive & mathematical statistics 2019
e-Learning CoursesDescriptive Statistics for Data Engineering 2019
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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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Anita Mieszkowska, ETI (Tel) , II sem. 2023/2024l
e-Learning Courses -
Applications of Geographic Information Systems
e-Learning CoursesFirst degree studies Data Engineering
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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
e-Learning Courses -
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
e-Learning Courses -
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
e-Learning Courses -
Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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Visualization of Economic Data - 2022
e-Learning Courses