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Catalog
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Search results for: THREE-DIMENSIONAL DISPLAYS , SOLID MODELING , DATA MODELS , COMPUTATIONAL MODELING , INTERNET , CULTURAL DIFFERENCES , GEOMETRY
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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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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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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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Platformy Internet of Things w zastosowaniach medycznych 2022/2023
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Platformy Internet of Things w zastosowaniach medycznych 2023/2024
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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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Numerical Methods
e-Learning CoursesNumerical Methods: for Electronics and Telecommunications students, Master's level, semester 1 Instructor: Michał Rewieński, Piotr Sypek Course description: This course provides an introduction to computational techniques for the simulation and modeling of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by various applications including modeling of integrated circuits,...
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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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[NF] Physical Research Methods I: Computational methods for transport phenomena
e-Learning Courses{mlang pl} Dyscyplina: NF Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący: Prof. Maurizio Dapor Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: NF Obligatory course for 1st and 2nd-year PhD students Academic teacher: Prof. Maurizio Dapor Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}
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Spatial data processing technologies
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Business Data Analytics-2022
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Operating systems (Data Engineering)
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DATA MINING NSTAC 2022
e-Learning CoursesNSTAC
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Inżynieria Danych Data Science
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Numerical Methods - Data Engineering
e-Learning Coursesstudia inżynierskie, informatyka i inżynieria danych
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Data Mining 2023/24
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Visualization of Economic Data - 2022
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Projekt Fakultatywny II/ Elective Design II 2020/2021 S.Hudnik+K.Życzkowska
e-Learning CoursesSUPERSURFACE – an alternative model for life The studio will explore an alternative architectural models for contemporary society in the context of different political, cultural, economic and environmental contexts. Temporal living and technology links the general fashion principles with architecture. The projects will investigate the visionary scenarios through Superstudio movies Fundamental Acts and various concepts and structures...
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DATA MINING STAC 2022/2023
e-Learning CoursesSTAC
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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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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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Materials science. Quantum particle approach. 2022.
e-Learning Coursesquantum methods for materials and molecular modeling.
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Material Science Quantum Particle Approach 2021
e-Learning Coursesquantum methods for materials and molecular modeling.
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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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Business process modelling
e-Learning CoursesWelcome to the Business Process Modeling course! We will travel together among the business processes world and its modeling with the BPMN ;) I hope it will be valuable for your future. See you soon, Marzena Grzesiak
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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
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Qualitative Data Analysis Methods -Summer 22/23
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Data Warehouses - Part-time studies - 2022/2023
e-Learning CoursesThe curse is led for part-time studies, on the first semester of postgraduate studies.