Search results for: DATA-DRIVEN MODELS

• Elective design II Reinventing Gdańsk / Reinventing Gdynia

  e-Learning Courses

  • K. Życzkowska

  The workshop will examine important modern architectural buildings in Gdańsk/ Gdynia in different political, cultural, economic and environmental contexts. The students will be divided into groups. Each group will be led by the curator of the exhibition. They will identify and evaluate the architectural values of the building through analyses, deconstructions and syntheses, focusing on understanding the basic principles of architecture...

• 2023_Reinventing Gdansk_Elective seminar

  e-Learning Courses

  • K. Życzkowska

  The workshop will examine important modern architecturalbuildings in Gdansk in different political, cultural, economicand environmental contexts. The students will be dividedinto groups. Each group will be led by the curator of theexhibition. They will identify and evaluate the architecturalvalues of the building through analyses, deconstructions andsyntheses, focusing on understanding the basic principles ofarchitecture and establishing...

• Baltic Smart Asset Management - Training Module

  e-Learning Courses

  • A. Rogala
  • P. Rybarczyk

  Baltic Smart Asset Management is an international project co-financed by the funds from Interreg South Baltic Programme 2014-2020. The aim of the project is to develop methods, transnational collaboration processes and knowledge about Smart Asset Management (SAM) for District Heating (DH) sector. The training module will help to spread the professional knowledge on new solutions and applications of SAM methods to promote data-driven...

• PG-00060238 Standardy integralności mechanicznej dla inżynierii cyfrowej opartej na danych

  e-Learning Courses

  • J. Szwedowicz

  Kurs w zrozumiały sposób wyjaśnia praktyki inżynierskie dotyczące oceny mechanizmów awarii elementów mechanicznych, metody Stress-Life i Strain-Life, techniki liczenia cykli. Wyjaśnione modele oparte na wiedzy analitycznej są odniesione do potrzeb monitorowania silnika, które generuje dane pracy urządzeń u klientów. Dane te są wykorzystywane w rozwiązaniach inżynierii cyfrowej, takich jak digital twin (dla części) lub digital thread...

• Models in spatial development

  e-Learning Courses

  • R. Skrzypczyński

• PG-00060238 Standardy integralności mechanicznej dla inżynierii cyfrowej opartej na danych

  e-Learning Courses

  • J. Szwedowicz

  Kurs w zrozumiały sposób wyjaśnia praktyki inżynierskie dotyczące oceny mechanizmów awarii elementów mechanicznych, metody Stress-Life i Strain-Life, techniki liczenia cykli. Wyjaśnione modele oparte na wiedzy analitycznej są odniesione do potrzeb monitorowania silnika, które generuje dane pracy urządzeń u klientów. Dane te są wykorzystywane w rozwiązaniach inżynierii cyfrowej, takich jak digital twin (dla części) lub digital thread...

• Projekt Fakultatywny II/ Elective Design II 2020/2021 S.Hudnik+K.Życzkowska

  e-Learning Courses

  • K. Życzkowska

  SUPERSURFACE – an alternative model for life The studio will explore an alternative architectural models for contemporary society in the context of different political, cultural, economic and environmental contexts. Temporal living and technology links the general fashion principles with architecture. The projects will investigate the visionary scenarios through Superstudio movies Fundamental Acts and various concepts and structures...

• CAD Integrated Architectural Design, MSc Arch (2023-24)

  e-Learning Courses

  • D. Cyparski

  Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

• 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.

• Computer controlled systems - 2022/2023

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

• CCS-lecture-2023-2024

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution optimization...

• 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.

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• [AEiE] Selected topics of electrical engineering - models of electrical machines

  e-Learning Courses

  • A. Wilk
  • R. Jankowski
  • Z. Krzemiński

  {mlang pl} Dyscyplina: automatyka, elektronika i elektrotechnika Zajęcia fakultatywne dla doktorantów II roku Prowadzący:  dr hab. inż. Andrzej Wilk, prof. PG, prof. dr hab. inż. Zbigniew Krzemiński Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: control, electronic and electrical engineering Facultative course for 2nd-year PhD students Academic teachers: dr hab. inż. Andrzej Wilk, prof. PG, prof....

• Data Structures (Doctoral Studies)

  e-Learning Courses

  • K. Goczyła

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

• 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

• 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 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.

• 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

• 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.

• Technical physics (Data Engineering)

  e-Learning Courses

  • S. Bielski

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

• 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. 

• 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. 

• 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

• 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

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• Data Mining (for Data Engineering) - Nowy

  e-Learning Courses

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

• 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 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 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 - 2022

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Big Data processing frameworks - 2023

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Big Data processing frameworks - 2024

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• 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.

• 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:...

• Projektowanie Aplikacji Internetowych 2022/23

  e-Learning Courses

  • J. Kuchta

  {mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...

• Projektowanie Aplikacji Internetowych 2023/24

  e-Learning Courses

  • J. Kuchta

  {mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...

• 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 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

• Spatial data processing technologies

  e-Learning Courses

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

• Business Data Analytics-2022

  e-Learning Courses

  • N. Rizun

• Operating systems (Data Engineering)

  e-Learning Courses

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

• 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 Mining 2023/24

  e-Learning Courses

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

• Visualization of Economic Data - 2022

  e-Learning Courses

  • O. Aydin