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Catalog
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Search results for: CONVOLUTIONAL NEURAL NETWORK, PEDESTRIAN DETECTION, ROBUSTNESS, STYLE-TRANSFER, DATA AUGMENTATION, UNCERTAINTY ESTIMATION
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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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Transfer of Electric Energy Dezhou University 2023/2024
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Visualization of Economic Data - 2022
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Deep Learning Basics 2023/24
e-Learning CoursesA course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.
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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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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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Transfer Technologii - sem VIII Zaoczne - sem LETNI 2021/2022
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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.
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WETI (Data Engineering) - Mathematics 2021/22 (M.Musielak)
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WETI (Data Engineering) - Mathematics 2022/23 (M.Musielak)
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WETI (Data Engineering) - Mathematics 2019/20 (M.Musielak)
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Data Warehouses - Part-time studies - 2023/2024
e-Learning CoursesThe curse is led for part-time studies, on the first semester of postgraduate studies.
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Analiza danych typu Big Data 2023/24
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WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)
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DATA MINING (Field of study: Economic analytics 1st semester) -2022
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Heat and mass transfer in lack of gravity, W/P, sem.01. lato 21/22, (PG_00054984)
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Fundamentals of thermodynamics and heat transfer, W/C, GTM (WCh), sem.04, zimowy 21/22 (PG_00048767)
e-Learning CoursesTBD
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Fundamentals of thermodynamics and heat transfer, W/C, GTM (WCh), sem.04, zimowy 22/23 (PG_00048767)
e-Learning CoursesPrzedstawienie głównych mechanizmów i praw dotyczących termodynamiki i wymiany ciepła. Zapoznanie z podejściami do analizy procesów termodynamicznych. Analiza przykładów obiegów termodynamicznych i ich opis. Wprowadzenie do zagadnień związanych z analizą procesów za pomocą kryterium efektywności. Zapoznanie z procesami wymiany ciepła.
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Fundamentals of thermodynamics and heat transfer, W/C, GTM (WCh), sem.04, zimowy 23/24 (PG_00048767)
e-Learning CoursesTable of contents presented on the course: Basic terms.The first law of thermodynamics for closed and open systems.The properties of perfect, semi-perfect and real gases.Gas rights. Thermal and caloric state equation.Thermodynamic transformations of a perfect gas.Gaseous thermodynamic cycles. The second law of thermodynamics.Steam and steam cycles.Basics of heat exchange.
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WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)
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[AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023
e-Learning Courses{mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}
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[AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024
e-Learning Courses{mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}
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Benjamin Sempek, WETI+WZIE, Data Engineering, st I, sem2, 22/23l
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W. Zbirohowski-Kościa WZiE i WETI, Data Eng, I st, sem 2, 21/22l
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Witold Zbirohowski-Kościa, ZiE i ETI, Data Engineering, I st, sem 5, 21/22z
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Małgorzata Piechocińska WETI+WZiE Inż. Danych/Data Engineering I st. 2 sem. 22/23 l
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Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 2 - Inżynieria Danych / Data Engineering - sem. 7 - 2023/2024
e-Learning Courses