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Search results for: research data services
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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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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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Services Marketing_2022
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Services Marketing_BiM_winter_2023
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Research Methods
e-Learning CoursesThis course on research methods is intended for 5th semester students of BiM Programme.
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Marketing in services
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Quantitative research methods
e-Learning CoursesQuantitative research methods - dr P. Paradowski
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Gravity-related research (2020/21)
e-Learning CoursesThe goal of the subject is to extend of the knowledge gained in the framework of general mechanics (statics, kinematics, dynamics). Students will be familiarized with the description of the kinematics and dynamics of motion in typical gravity-related research conditions (microgravity in parabolic flights, drop towers, sounding rockets) as well as gravity-related research platforms, its opportunities and limitations. Additionally,...
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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 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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Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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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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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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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 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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Algorithms and Data Structures 2022
e-Learning CoursesWETI, DS, Algorithms and Data Structures
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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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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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Intelligent Information Services 2022/23
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Intelligent Information Services 23/24
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Intelligent information services 23/24
e-Learning CoursesInformation retrieval Text categorization Natural language processing
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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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Digital Platforms and Services 2022/2023
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Digital Platforms and Services 2023/2024
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Research project I (February 2024)
e-Learning CoursesThis is the course for English-speaking students of Research project I. Access code: KSiSR2024 If you have some problem with access to the course please sent me e-mail to: slagaj@eti.pg.edu.pl (give me the name and your id number).
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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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Wykorzystanie zasobów Open Access w pracy dydaktycznej
e-Learning CoursesCELCelem szkolenia jest zapoznanie kadry naukowo-dydaktycznej i młodych naukowców z zasobami Open Access (OA), które są powszechnie dostępne i mogą stanowić alternatywę dla zbiorów subskrypcyjnych.Szkolenie pokaże praktyczne zastosowanie publikacji OA w pracy dydaktycznej i przybliży proces udostępniania własnych materiałów w wybranym modelu Otwartego Dostępu, z uwzględnieniem praw autorskich. Zapewni również rozwijanie kompetencji...
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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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Data Analysis 2023/24
e-Learning CoursesData Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24
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Data Mining (for Data Engineering) - Nowy
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Research project
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Research grant applications (W)
e-Learning CoursesSearching for a grant for yourself. Competitions: of the Ministry of Science and Higher Education (MNiSW), of the National Science Center (NCN)' of the Foundation for Polish Science (FNP), of the National Center for Research and Development (NCBiR), European Commission Grants (ERC). Formulation of the application: analysis of the requirements. Description of project issues: purpose, meaning, work plan, and methodology. Reviewer's...
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Digital Platforms and Services - STAC - 2023/2024
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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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Research Grant Applications (SEM)
e-Learning CoursesSearching for a grant for yourself. Competitions: of the Ministry of Science and Higher Education (MNiSW), of the National Science Center (NCN)' of the Foundation for Polish Science (FNP), of the National Center for Research and Development (NCBiR), European Commission Grants (ERC). Formulation of the application: analysis of the requirements. Description of project issues: purpose, meaning, work plan, and methodology. Reviewer's...
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Basics of Data Warehouses Path
e-Learning CoursesWithin this path the basic aspects of data warehouses (architecture, star schema, etc.) are discussed. The course is intended for students of the 1st degree of Informatics Field (semester 5) - Kurs planowany dla studentów I stopnia kierunku informatyka (semestr 5) - przedmiot Hurtownie danych oraz dla studentów II stopnia kierunku informatyka, specjalność ZAD.
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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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Gravity-related research (Engineering and Management of Space Systems) 21/22
e-Learning CoursesThe goal of the subject is to extend of the knowledge gained in the framework of general mechanics (statics, kinematics, dynamics). Students will be familiarized with the description of the kinematics and dynamics of motion in typical gravity-related research conditions (microgravity in parabolic flights, drop towers, sounding rockets) as well as gravity-related research platforms, its opportunities and limitations. Additionally,...
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Big Data processing frameworks - 2022
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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Big Data processing frameworks - 2023
e-Learning CoursesInformatics, postgraduate studies Data Engineering, undergraduate studies
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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 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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Deep neural networks for data analysis
e-Learning CoursesThe aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...
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Digital Platforms and Services - STAC - 2023/2024 - KOPIA
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Qualitative Research Methods
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Research Project Management_InterPhDII
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Marketing Research IM
e-Learning Courses