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Search results for: CODATA
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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
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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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Techniki rozdzielania - wykład - 2023/24
e-Learning CoursesTechniki rozdzielania - wykład
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Techniki rozdzielania - wykład - 2022/23
e-Learning CoursesTechniki rozdzielania - wykład
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Operacje dyfuzyjne w inżynierii bioprocesowej - laboratorium
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Visualization of Economic Data - 2022
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Algorithms and Data Structures 2022
e-Learning CoursesWETI, DS, Algorithms and Data Structures
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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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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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Inżynieria chemiczna i bioprocesowa - laboratorium - 2022/23
e-Learning CoursesInżynieria chemiczna i bioprocesowa - laboratorium
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Inżynieria chemiczna i bioprocesowa - ćwiczenia - 2022/23
e-Learning CoursesInżynieria chemiczna i bioprocesowa - ćwiczenia
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Podstawy inżynierii bioprocesowej - projekt sem 4 2022/23
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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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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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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 2023/2024
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
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Techniki rozdzielania - laboratorium - 2022/23
e-Learning CoursesTechniki rozdzielania - laboratorium
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Podstawy inżynierii bioprocesowej - projekt sem 4 2023/24
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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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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
e-Learning Courses