Search results for: POSITIONING DATA PROCESSING, TRACK GEOMETRIC LAYOUT, GNSS SATELLITE SURVEYING, HORIZONTAL AND VERTICAL ACCURACY EVALUATION - Bridge of Knowledge

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Search results for: POSITIONING DATA PROCESSING, TRACK GEOMETRIC LAYOUT, GNSS SATELLITE SURVEYING, HORIZONTAL AND VERTICAL ACCURACY EVALUATION

Search results for: POSITIONING DATA PROCESSING, TRACK GEOMETRIC LAYOUT, GNSS SATELLITE SURVEYING, HORIZONTAL AND VERTICAL ACCURACY EVALUATION

  • 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

  • Spatial data processing technologies

    e-Learning Courses
    • M. Kulawiak
    • Z. Łubniewski
    • E. Lubecka

  • [EMSS] Satellite Technologies: Satellite as a System, Satellite Remote Sensing 2023/24

    e-Learning Courses
    • T. E. Berezowski
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including HSB diploma profiles Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).

  • 2024_2025_ENGINEERING SURVEYING and GIS APPLICATIONS

    e-Learning Courses
    • A. Sobieraj-Żłobińska

    In this course students become  acquainted  with  basic  survey  measurements  and  modern  methods  used  in  engineering surveying. Students also get elementary knowledge on remote sensing and broaden understanding of  geographic information systems.

  • Satellite navigation [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski
    • J. Demkowicz

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Satellite navigation [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski
    • J. Demkowicz

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • [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...

  • 2023_2024winter-Engineering Surveying and GIS Applications

    e-Learning Courses
    • A. Sobieraj-Żłobińska

    Engineering Surveying and GIS Applications (Environmental Engineering sem II MSU) In this course students become  acquainted  with  basic  survey  measurements  and  modern  methods  used  in  engineering surveying. Students also get elementary knowledge on remote sensing and broaden understanding of  geographic information systems. teacher: dr inż. Anna Sobieraj-Żłobińska (annsobie@pg.edu.pl) 

  • Programming of GNSS applications [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Programming of GNSS applications [EMSS]

    e-Learning Courses
    • P. Falkowski-Gilski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • [EMSS] Satellite Navigation 2023/24

    e-Learning Courses
    • P. Falkowski-Gilski
    • J. Demkowicz
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Satellite remote sensing - EMSS - 2022

    e-Learning Courses
    • T. E. Berezowski
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).

  • Satellite remote sensing - EMSS - 2023

    e-Learning Courses
    • T. E. Berezowski
    • Z. Łubniewski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).

  • [EMSS] Programming of GNSS applications 2023/24

    e-Learning Courses
    • P. Falkowski-Gilski

    This course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].

  • Image Processing in Robotics (2021/2022)

    e-Learning Courses
    • P. Chudziak

    For ISD M.Sc. (II degr.) 2 sem. Participants are to learn image processing algorithms related to transformation, filtration, feature detection (image descriptors), image processing algorithms in robotic industrial systems.

  • 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. 

  • 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. 

  • Programowanie aplikacji GNSS

    e-Learning Courses
    • P. Falkowski-Gilski

    Przedmiot ten prowadzony jest na studiach magisterskich, kierunek: Technologie kosmiczne i satelitarne (WETI), II stopnia, stacjonarne.

  • Engineering Surveying and GIS Applications.

    e-Learning Courses
    • M. Chmielecki

  • Digital Signal Processing

    e-Learning Courses
    • T. Stefański

  • Image Processing in Robotics

    e-Learning Courses
    • T. Białaszewski

  • Image Processing in Robotics

    e-Learning Courses
    • S. Dziedziewicz

  • Programowanie aplikacji GNSS 2023/24

    e-Learning Courses
    • P. Falkowski-Gilski

    Przedmiot ten prowadzony jest na studiach magisterskich, kierunek: Technologie kosmiczne i satelitarne (WETI), II stopnia, stacjonarne.

  • Programowanie aplikacji GNSS 2024/25

    e-Learning Courses
    • P. Falkowski-Gilski

    Przedmiot ten prowadzony jest na studiach magisterskich, kierunek: Technologie kosmiczne i satelitarne (WETI), II stopnia, stacjonarne.

  • 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 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

  • 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.

  • Advanced Processing of Telecommunications Signals

    e-Learning Courses
    • A. Bekasiewicz

  • 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.

  • Digital Signal Processing - 22/23

    e-Learning Courses
    • T. Stefański

     Po ukończeniu kursu, student projektuje podstawowe algorytmy cyfrowego przetwarzania sygnałów - filtrów cyfrowych FIR i IIR, i estymuje widmo za pomocą FFT.Student opisuje architektury i ścieżki danych procesorów stało-przecinkowych i zmienno-przecinkowych. Student tłumaczy podstawy arytmetyki procesorów i podaje przykłady zastosowań.

  • Digital Signal Processing-23/24

    e-Learning Courses

     Po ukończeniu kursu, student projektuje podstawowe algorytmy cyfrowego przetwarzania sygnałów - filtrów cyfrowych FIR i IIR, i estymuje widmo za pomocą FFT.Student opisuje architektury i ścieżki danych procesorów stało-przecinkowych i zmienno-przecinkowych. Student tłumaczy podstawy arytmetyki procesorów i podaje przykłady zastosowań.

  • Smart city and data management foundations

    e-Learning Courses
    • M. Krzyżanowski
    • 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...

  • 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.