Search results for: BIG DATA APPLICATIONS

• 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

• Advances in materials engineering instrumentation: new trends and applications 2022/2023

  e-Learning Courses

  • A. D. Mielewczyk-Gryń

• 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

• 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

• 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.

• 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

• 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

• 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

• 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}      

• Benjamin Sempek, WETI+WZIE, Data Engineering, st I, sem2, 22/23l

  e-Learning Courses

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

• W. Zbirohowski-Kościa WZiE i WETI, Data Eng, I st, sem 2, 21/22l

  e-Learning Courses

  • W. Zbirohowski-Kościa
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Witold Zbirohowski-Kościa, ZiE i ETI, Data Engineering, I st, sem 5, 21/22z

  e-Learning Courses

  • W. Zbirohowski-Kościa
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Małgorzata Piechocińska WETI+WZiE Inż. Danych/Data Engineering I st. 2 sem. 22/23 l

  e-Learning Courses

  • J. Nieszczółkowski
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna
  • M. Piechocińska

• Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 2 - Inżynieria Danych / Data Engineering - sem. 7 - 2024/2025

  e-Learning Courses

  • A. M. Trzaskowska

• Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 1 - Inżynieria Danych / Data Engineering - sem. 6 - 2023/2024

  e-Learning Courses

  • A. M. Trzaskowska

• Dielektryki-en WFTIMS

  e-Learning Courses

  • R. J. Barczyński

  Dielectric materials - properties, applications, structure.

• Operational Research - Queuing Systems 2022

  e-Learning Courses

  • J. Konorski

  Components, characteristics, classification, analysis, and applications of queuing systems.

• Fundamentals of Electrotechnics and Electronics II - project China [EE][2024/25]

  e-Learning Courses

  • P. Musznicki
  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Fundamentals of Electrical Engineering and Electronics 2 [EE][2024/25]

  e-Learning Courses

  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Fundamentals of Electrotechnics and Electronics II - project China [2023/24]

  e-Learning Courses

  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Operational Research - Queuing Systems 2024

  e-Learning Courses

  • J. Konorski

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Operational Research - Queuing Systems 2024

  e-Learning Courses

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Operational Research 2024

  e-Learning Courses

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Global Trends 2024-25

  e-Learning Courses

  • L. Segreto

  The course will discuss the main trands of the global economy in the 21st century. It will focus on the most relevant dynamics of the world econoy considering both the most important countries (USA, EU, China, Russia, etc.) and the key economic actors, the big firms as well as the multinationals. Tis approach should permit to consider different points of vew, including the world of workers in the advanced economies as well as in...