Search results for: DATA

• Business data semantics and representation 2023

  e-Learning Courses

  • N. Rizun
  • A. Ojo
  • S. Ostrowski

• Visualization of economic data 2024/2025

  e-Learning Courses

  • O. Aydin

• Business data semantics and representation - 2024

  e-Learning Courses

• Business data semantics and representation 2024

  e-Learning Courses

  • S. Ostrowski

• Visualization of Economic Data - 2023/24

  e-Learning Courses

  • O. Aydin

• Frameworks and tools for data engineers 2025_2026

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

• Technical physics (Data Engineering)_22/23

  e-Learning Courses

  • D. Głowienka
  • S. Bielski

  Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

• Technical physics (Data Engineering)_23/24

  e-Learning Courses

  • D. Głowienka
  • S. Bielski
  • A. Sbai
  • R. C. Sia

  Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

• Repetytorium: POP + WAI + HiH (Data Engineering)

  e-Learning Courses

  • R. Ostrowski
  • D. Dereniowski
  • T. Pikies
  • K. Pastuszak
  • W. Szwoch
  • T. Goluch

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• D. Zalewska 4 Data Engineering 4

  e-Learning Courses

  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna
  • D. Zalewska

• Operating systems (Data Engineering) - 2023/24

  e-Learning Courses

  • P. Weichbroth
  • P. Sokołowski
  • A. Kaczmarek
  • M. Wróbel

• Algorithms & Data Structures 2022/23

  e-Learning Courses

  • R. Janczewski
  • K. Manuszewski
  • M. Jurkiewicz

• Algorithms & Data Structures 23/24

  e-Learning Courses

  • R. Ostrowski
  • K. Manuszewski
  • A. Jastrzębski
  • M. Jurkiewicz
  • T. Goluch

• Big Data 2024 nst (2024/2025_zima)

  e-Learning Courses

  • M. B. Pietrzak

• Operating systems (Data Engineering) - 2024/25

  e-Learning Courses

  • P. Weichbroth
  • P. Sokołowski
  • A. Kaczmarek
  • M. Wróbel

• [ITiT] Technologies of Spatial Data Analysis and Processing

  e-Learning Courses

  • M. Kulawiak
  • E. Lubecka

  {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...

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Analiza danych typu Big Data 2022/23

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

  The 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.

• Analiza danych typu Big Data 2024/25

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

  The aim of the course is to familiarize students with the methods of acquiring, storing, and analyzing big data. Practical tools for these tasks are presented.

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• Data Warehouses - Part-time studies - 2022/2023

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  The curse is led for part-time studies, on the first semester of postgraduate studies.

• WETI (Data Engineering) - Mathematics 2021/22 (M.Musielak)

  e-Learning Courses

  • M. M. Musielak

• WETI (Data Engineering) - Mathematics 2022/23 (M.Musielak)

  e-Learning Courses

  • M. M. Musielak

• WETI (Data Engineering) - Mathematics 2019/20 (M.Musielak)

  e-Learning Courses

  • M. M. Musielak

• Data Warehouses - Part-time studies - 2023/2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  The curse is led for part-time studies, on the first semester of postgraduate studies.

• Analiza danych typu Big Data 2023/24

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

• Distributed Databases

  e-Learning Courses

  • P. Szpryngier

• Deep neural networks for data analysis 24/25

  e-Learning Courses

  • J. Cychnerski
  • K. Draszawka

  This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

• Deep neural networks for data analysis 27/28

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 25/26

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 26/27

  e-Learning Courses

  • K. Draszawka

• Analiza danych typu Big Data 2023/24 KOPIA

  e-Learning Courses

  • W. Waloszek

  The 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.

• Database Management Systems 2022/2023

  e-Learning Courses

  • G. Gołaszewski
  • A. Landowska

• Database Management Systems 2023/2024

  e-Learning Courses

  • G. Gołaszewski
  • A. Landowska

• Database Management Systems 2024/2025

  e-Learning Courses

  • G. Gołaszewski
  • A. Landowska

• WETI - Data Engineering - Mathematics 2024/25 (E.Kozłowska-Walania)

  e-Learning Courses

  • E. Kozłowska-Walania

• WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)

  e-Learning Courses

  • M. M. Musielak
  • E. Kozłowska-Walania

• Nonrelational databases 2026_2027

  e-Learning Courses

  • T. Zawadzka

• D. Zalewska 3 Data Engineering , 3s, C1 24/25z

  e-Learning Courses

  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna
  • D. Zalewska

• DATA MINING (Field of study: Economic analytics 1st semester) -2022

  e-Learning Courses

  • N. Rizun

• Database management systems - lecture 2024/2025

  e-Learning Courses

  • G. Gołaszewski
  • A. Landowska

  Kurs dedykowany do wykładów prowadzonych wspólnie dla przedmiotu Zarządzanie Systemami Baz Danych na kierunku Informatyka oraz Database management systems na kierunku inżynieria danych.

• Nonrelational Databases DE 2024_2025

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka
  • A. Landowska

  This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

• Nonrelational Databases DE 2023_2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

• Nonrelational Databases DE 2022_2023

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  Within this course the four types of non-relational databases (i.e. document, graph, key-value and column-oriented) are discussed. The course is aimed at students of the 5th semester of data engineering.

• Advanced nonrelational databases 2024_2025

  e-Learning Courses

  • R. Dobrosielski
  • M. Zawadzki
  • T. Zawadzka
  • A. Kaczmarek
  • W. Waloszek
  • M. Kwiatkowski

• WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)

  e-Learning Courses

  • A. Brękiewicz-Sieg

• [AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023

  e-Learning Courses

  • T. E. Berezowski

  {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}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024

  e-Learning Courses

  • T. E. Berezowski

  {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}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation 2024/2025

  e-Learning Courses

  • T. E. Berezowski

  {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}