Search results for: data post-processing

• 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

• Zaawansowane Przetwarzanie Sygnałów - angielski - Nowy

  e-Learning Courses

  • A. Szewczyk
  • J. Smulko

  Lecture presents development of advanced signal processing techniques. Seminar, after the lectures, considers selected issues/subjects of signal processing techniques presented by individual students.

• Environmental Protection in Energetics, PG_00049751, W, PE-ET, sem.1, winter 2023/24

  e-Learning Courses

  Environmental aspects of energy production and processing.

• Environmental Protection in Energetics (PG_00049751), W, PE-ET, sem.1, winter 2023/24

  e-Learning Courses

  • R. Liberacki

  Environmental aspects of energy production and processing.

• Environmental Protection in Energetics (PG_00049751), W, ET, sem.1, winter 2024/2025

  e-Learning Courses

  • R. Liberacki

  Environmental aspects of energy production and processing.

• Przetwarzanie rozproszone

  e-Learning Courses

  • M. Kassjański
  • E. Lubecka

  Foundations and rules of distributed and parallel processing in networked computer systems.

• Intelligent information services 23/24

  e-Learning Courses

  • J. Szymański

  Information retrieval Text categorization Natural language processing

• Przetwarzanie Rozproszone 2021/2022

  e-Learning Courses

  • J. Cychnerski
  • P. Weichbroth
  • A. Domagalska
  • M. Matuszek
  • P. Dryja
  • T. Gajger
  • A. Brzeski
  • J. Kuchta
  • A. Królicka-Gałązka
  • T. Cejrowski
  • S. Olewniczak

  {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

• Przetwarzanie Rozproszone 2022/2023

  e-Learning Courses

  • J. Cychnerski
  • A. Domagalska
  • M. Matuszek
  • J. Kuchta
  • J. Szłapczyńska
  • A. Królicka-Gałązka

  {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

• Przetwarzanie Rozproszone 2023/2024

  e-Learning Courses

  • J. Cychnerski
  • A. Domagalska
  • M. Matuszek
  • J. Kuchta
  • J. Szłapczyńska
  • A. Królicka-Gałązka
  • J. Majkutewicz
  • R. Kałaska

  {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Architectural project V. Design for all 2022/23

  e-Learning Courses

  • D. Sędzicki
  • M. Gawdzik

  SEMESTER V - ACADEMIC YEAR 2022/23 ARCHITECTURAL PROJECT V CHAIR OF URBAN ARCHITECTURE AND WATERSCAPES The course is design by : Dr. eng. arch. Marek Gawdzik            m.gawdzik@archplus.gda.pl mgawd@pg.gda.pl & MSc. eng.arch. Dominik Sędzicki       dominik.sedzicki@pg.edu.pl TOPIC The subject of the semester project is the revitalization of one of the post-shipyard hall (No. 38 A) located at the Imperial Shipyard...

• Applications of Geographic Information Systems

  e-Learning Courses

  • M. Kulawiak
  • M. Kulawiak

  First degree studies Data Engineering

• 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.

• 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)

• 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.

• 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.

• 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.

• Głębokie Sieci Neuronowe Do Analizy Danych

  e-Learning Courses

  • T. M. Boiński
  • K. Draszawka

  {mlang pl}Kurs przeznaczony jest dla studentów kierunku Inżynieria Danych.{mlang} {mlang en}Course for Data Analysis students.{mlang}

• European Economic Development 2023

  e-Learning Courses

  • A. Parteka
  • R. Ślosarski

  Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of economic development in Europe.  Key topics: •concepts of economic development, alternative measures of development •factors of economic growth and development (‘determinants of growth’) •history of economic development in Europe •cross-country and cross-regional comparisons •sources: where to find information and data needed for empirical...

• Mathematical Statistics (2022/23)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23

• Nonrelational Databases DE 2024_2025

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka
  • A. Landowska

  This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

• Nonrelational Databases DE 2023_2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

• Fuel, Oils and Greases, W, E, sem.01, zimowy 22/23

  e-Learning Courses

  Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....

• Macroeconomic Reports - Nowy

  e-Learning Courses

  • E. Lechman

  This course intends to teach and train students in their analytical skills. Students are supposed to search data and information through international databases and then, using various analytical techniques, prepare a macroeconomic report in selected topic.

• Mathematical Statistics (2023/24)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24

• Mathematical Statistics 2024/25

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2024/25

• Fuel, Oils and Greases, W, E, sem.03, zimowy 22/23

  e-Learning Courses

  • P. Bzura

  Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....

• Nonrelational Databases DE 2022_2023

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  Within this course the four types of non-relational databases (i.e. document, graph, key-value and column-oriented) are discussed. The course is aimed at students of the 5th semester of data engineering.

• Descriptive Statistics - summer 2022

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22

• Descriptive Statistics with R

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23

• Team project I (2020/21)

  e-Learning Courses

  • A. Dąbrowski
  • M. Chodnicki

  Within this team project, students will be designing a space mission. Each student will choose a subsystem: mission analysis, propulsion, communication, structure, mechanisms, power, thermal, onboard data handling. Together, by means of concurrent engineering a primary system definition will be completed.