Search results for: data anonymization

• WETI Matematyka - Informatyka gr. 7 - ćwiczenia (M.Wata)

  e-Learning Courses

  • M. Wata

• WZiE - Zarządzanie - Matematyka I i II, 2015/2016 (M. Wata)

  e-Learning Courses

  • M. Wata

• PhD SEMINAR

  e-Learning Courses

  • J. Datta

• Economics and Organisation of Enterprises - winter term 22/23

  e-Learning Courses

  • M. Popowska

  This course is intended for students of the first semester of Data Engineering (inter-faculty program in English)

• Economics and Organisation of Enterprises - winter term 24/25

  e-Learning Courses

  • M. M. Popowska
  • M. Mustafayev

  This course is intended for students in the first semester of Data Engineering (inter-faculty program in English).

• Economics and Organisation of Enterprises - winter term 23/24

  e-Learning Courses

  • M. M. Popowska
  • M. Mustafayev

  This course is intended for students of the first semester of Data Engineering (inter-faculty program in English)

• 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 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.

• Big Data processing frameworks - 2022

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• DATA MINING STAC 2022/2023

  e-Learning Courses

  • N. Rizun

  STAC

• Big Data processing frameworks - 2023

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Advanced Data Mining 2022/23

  e-Learning Courses

  • P. Weichbroth
  • A. Kołakowska
  • G. Gołaszewski
  • K. Flisikowski
  • A. Karpus
  • K. Goczyła

• Numerical Methods - Data Engineering - 2023

  e-Learning Courses

  • G. Fotyga

  studia inżynierskie, informatyka i inżynieria danych

• Data Structures (Doctoral Studies) - New

  e-Learning Courses

  • K. Goczyła

  The 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.

• Big Data processing frameworks - 2024

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Business Data Analytics-2024 /2025

  e-Learning Courses

  • N. Rizun
  • J. Durkiewicz

• Data analysis - team project 2024

  e-Learning Courses

  • O. Aydin

• Analiza danych typu Big Data

  e-Learning Courses

  • P. Weichbroth
  • M. Kaczmarek
  • W. Waloszek

• Numerical Methods - Data Engineering - 2024

  e-Learning Courses

  • G. Fotyga

  Inżynieria danych

• Business Data Analytics-2023 /2024

  e-Learning Courses

  • N. Rizun

• Big Data ST (2024/2025_zima)

  e-Learning Courses

  • M. B. Pietrzak
  • O. Aydin

• Inżynieria Danych Data Science 2024

  e-Learning Courses

  • P. Jasik
  • M. Łabuda

• Advanced Data Mining 2023/24

  e-Learning Courses

  • A. Kołakowska
  • A. Karpus

• DATA MINING NSTAC 2022 ON-LINE

  e-Learning Courses

  • N. Rizun

  NSTAC

• 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

• Frameworks and tools for data engineers 2025_2026

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

• Visualization of Economic Data - 2023/24

  e-Learning Courses

  • O. Aydin

• Deep neural networks for data analysis

  e-Learning Courses

  • K. Draszawka

  The 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:...

• Software Engineering 2022/2023

  e-Learning Courses

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• Software Engineering 2024/2025

  e-Learning Courses

  • A. Jarzębowicz

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• Software Engineering 2023/2024

  e-Learning Courses

  • A. Jarzębowicz

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• 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.

• Technical Physics 2024/25

  e-Learning Courses

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

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

• 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.

• Basics of Physics_21/22

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_22/23

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_23/24

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and 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...