Search results for: FIELSD DATA

• Advanced Nonrelational Databases DE 2022/2023

  e-Learning Courses

  • J. Miler
  • T. Zawadzka
  • W. Waloszek

  The course is addressed to bachelor-students in the field of data engineering in the fifth semester.

• Advanced Nonrelational Databases DE 2023/2024

  e-Learning Courses

  • M. Zawadzki
  • T. Zawadzka
  • W. Waloszek

  The course is addressed to bachelor-students in the field of data engineering in the fifth semester.

• 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.

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

  e-Learning Courses

  • N. Rizun

• Technical physics (Data Engineering)

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: 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.

• Data Mining (for Data Engineering) - Nowy

  e-Learning Courses

  • T. Zawadzka
  • A. Karpus
  • W. Waloszek
  • K. Goczyła

• Big Data

  e-Learning Courses

  • M. Nowakowski

  Celem przedmiotu jest zapoznanie studentów z narzędziami i metodami służącymi do przetwarzania i analizowania dużych wolumenów danych (Big Data), w szczególności z wykorzystaniem metod uczenia maszynowego.

• Data Warehouses DE 2022/2023

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

• Data Warehouses 2023/2024

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

• Data Warehouses DE 2023/2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

• Basics of Data Warehouses Path

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka
  • K. Goczyła

  Within 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.

• Data Mining Path

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka
  • A. Karpus
  • M. Wróbel
  • A. Przybyłek
  • W. Waloszek
  • A. Landowska

  Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

• Big Data 2023

  e-Learning Courses

  • P. Jasik

• Data quality assurance

  e-Learning Courses

  The 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

• Data quality assurance

  e-Learning Courses

  • P. Weichbroth

• Advanced data mining

  e-Learning Courses

  • A. Kołakowska
  • A. Karpus

• Data analysis and presentation

  e-Learning Courses

  • M. Życzkowski

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Data Mining 2022/2023

  e-Learning Courses

  • W. Waloszek

  This is a web page for our course in Data Mining.

• Data Mining 2021/2022

  e-Learning Courses

  • W. Waloszek

  This is a web page for our course in Data Mining.

• Applications of Geographic Information Systems

  e-Learning Courses

  • M. Kulawiak
  • M. Kulawiak

  First degree studies Data Engineering

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• Spatial data processing technologies

  e-Learning Courses

  • M. Kulawiak
  • Z. Łubniewski
  • E. Lubecka

• Databases (Data Engineering) - 2022

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • M. Wróbel
  • A. Landowska
  • K. Goczyła

  The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

• Data Structures (Doctoral Studies)

  e-Learning Courses

  • K. Goczyła

  The course covers basic data structures and computer algorithms used in information tehcnology applications. 

• Business Data Analytics-2022

  e-Learning Courses

  • N. Rizun

• Data quality assurance - 2023

  e-Learning Courses

  • P. Weichbroth
  • A. Wardziński

  Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Andrzej Wardziński Wykład: od 13 marca, poniedziałki 13:15 sala NE Audytorium 2 Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

• Operating systems (Data Engineering)

  e-Learning Courses

  • P. Weichbroth
  • K. Łukasiewicz
  • M. Wróbel

• Data Warehouses 2022/2023

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka

  The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Informatics - 5th semester.

• DATA MINING NSTAC 2022

  e-Learning Courses

  • N. Rizun

  NSTAC

• Inżynieria Danych Data Science

  e-Learning Courses

  • P. Jasik

• Numerical Methods - Data Engineering

  e-Learning Courses

  • R. Lech
  • P. Kurgan
  • G. Fotyga

  studia inżynierskie, informatyka i inżynieria danych

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

  Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

• Data Quality Assurance 2024

  e-Learning Courses

  • P. Weichbroth

  Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Paweł Weichbroth Wykład: odbywają się zdalnie. Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

• Databases (Data Engineering) - 2023

  e-Learning Courses

  • G. Gołaszewski
  • A. Karpus
  • M. Pykała
  • A. Landowska
  • K. Goczyła

  The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

• Databases (Data Engineering) - 2024

  e-Learning Courses

  • G. Gołaszewski
  • A. Karpus
  • A. Landowska
  • K. Goczyła

  The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

• Data Mining 2023/24

  e-Learning Courses

  • P. Weichbroth
  • A. Karpus
  • W. Waloszek

• Data warehouses 2026/2027

  e-Learning Courses

  • T. Zawadzka

• [EiF] [ZiJ] Writing scientific papers for Management and Economics Fields of Science

  e-Learning Courses

  • A. Parteka
  • A. Klej

  {mlang pl} Dyscyplina: soft skills Zajęcia obowiązkowe dla doktorantów I i II roku z dyscyplin EiF oraz ZiJ,  Prowadzący:  dr hab inż. Aleksandra Parteka, prof. PG Liczba godzin: 5 Forma zajęć:  {mlang} {mlang en} Discipline: soft skills Obligatory course for 1st and 2nd-year PhD students of EiF and ZiJ disciplines Academic teacher:  dr hab. inż. Aleksandra Parteka, prof. PG Total hours of training: 5 teaching hours Course...

• Visualization of Economic Data - 2022

  e-Learning Courses

  • O. Aydin

• Algorithms and Data Structures 2022

  e-Learning Courses

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

  WETI, DS, Algorithms and Data Structures

• Scientific Computing and Data Science

  e-Learning Courses

  • A. Szymkiewicz
  • D. Bruski
  • Ł. Pachocki

• Smart city and data management foundations

  e-Learning Courses

  • M. Krzyżanowski
  • O. Rodecka-Szemiel
  • W. Drapiński
  • J. Sudakowska
  • A. Guzik
  • K. Dytrych
  • A. Modrzejewska
  • A. Orłowski

  This e-learning course, specifically designed for individuals aiming to establish startups, those proficient in technology yet unsure of how to leverage and market it, and students aspiring to further their studies in data analysis, transportation, IT management, or data engineering. This course serves as an entry point for roles such as Smart City Specialist and Chief Data Officer in municipal settings. Participants will gain...

• WETI (Informatyka) - Matematyka ćwiczenia gr. 5 (M.Wata)

  e-Learning Courses

  • M. Wata

  Materiały uzupełniające do ćwiczeń z matematyki dla Inf gr 5 (2015/2016)

• WZiE - Zarządzanie lic. ang. - e-test 2019/20

  e-Learning Courses

  • M. Wata