Wyniki wyszukiwania dla: CONCRETE, DATA MINING, FAILURE OCCURRENCE PREDICTION, MACHINE CONCRETE FOUNDATIONS, MACHINE LEARNING

• Deep neural networks for data analysis

  Kursy Online

  • 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:...

• Foundations of Capital Markets Analysis 2022

  Kursy Online

  • M. Gnyba

• Qualitative data analysis methods

  Kursy Online

  • M. Starnawska

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

• Data Structures (Doctoral Studies)

  Kursy Online

  • K. Goczyła

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

• Data Warehouses DE 2022/2023

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

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

  WETI, DS, Algorithms and Data Structures

• Data Warehouses 2022/2023

  Kursy Online

  • 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)

  Kursy Online

  • S. Bielski

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

• Desiging e-learning courses and distance learning (level 1. certified course)

  Kursy Online

  • J. Mytnik
  • O. Ludyga

• Blended Learning Tasks 2

  Kursy Online

  • I. Mokwa-Tarnowska

  Kurs dla Wydziału Mechanicznego

• Blended Learning Tasks 6

  Kursy Online

  • I. Mokwa-Tarnowska

  Kurs dla Wydziału Architektury

• Deep Learning w Keras

  Kursy Online

  • A. Karpus

  Kurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.

• Blended Learning Tasks 4

  Kursy Online

  • I. Mokwa-Tarnowska

• Blended Learning Tasks 1

  Kursy Online

  • I. Mokwa-Tarnowska

  Kurs dla Wydziału Mechanicznego

• Blended Learning Tasks 5

  Kursy Online

  • I. Mokwa-Tarnowska

  Kurs dla ETI

• Blended Learning Tasks 3

  Kursy Online

  • I. Mokwa-Tarnowska

  Kurs dla WILiŚ

• Databases (Data Engineering) - 2022

  Kursy Online

  • 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

  Kursy Online

  • 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. 

• Podstawy uczenia maszynowego AI

  Kursy Online

  Podstawy uczenia maszynowego. Machine Learning fundamentals.

• Machine Tools and Cutting Tools W/L; DaPE; 1st grade, 6th semester, Summer 22/23 (M:320416W0)

  Kursy Online

  • D. Chuchała
  • K. Orłowski

  Design and Production Engineering (FME&ST), 1st degree, 6th semester

• Machine Tools and Cutting Tools W/L; DaPE; 1st grade, 6th semester, Summer 23/24 (M:320416W0)

  Kursy Online

  • D. Chuchała
  • A. Suchta
  • K. Orłowski

• Data Quality Assurance 2024

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • K. Flisikowski

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

• Measurements in civil engineering, transport, environmental engineering, mining and power engineering 22/23

  Kursy Online

  • P. Zima

  The course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...

• Measurements in civil engineering, transport, environmental engineering, mining and power engineering 23/24

  Kursy Online

  • P. Zima

  The course is primarily open to all PhD students at Gdansk University of Technology. This course is compulsory for PhD students assigned to Civil Engineering and Transport as well as Environmental Engineering, Mining and Power Engineering tracks at Doctoral School of GUT. This course allows the PhD students to obtain the knowledge related to the experimental equipment and types of experiments carried out at GUT in the field of...

• Technical physics (Data Engineering)_22/23

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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.

• E-learning workshops with Norbert Berger

  Kursy Online

  • J. Makowski

  The series of workshops supports MBA faculty in planning, designing, delivering and assessing blended and online modules for their cohorts. It is supplemented by individual coaching to create Moodle and conferencing solutions and their delivery.

• Big Data processing frameworks - 2022

  Kursy Online

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Big Data processing frameworks - 2023

  Kursy Online

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Big Data processing frameworks - 2024

  Kursy Online

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Analiza danych typu Big Data 2022/23

  Kursy Online

  • 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.

• [NF] Monographic lectures on physics: Quantum Collisions: Theoretical Foundations

  Kursy Online

  • J. Franz
  • R. Jankowski
  • P. Możejko

  {mlang pl} Dyscyplina: nauki fizyczne Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. Paweł Możejko, prof. PG; dr hab. Jan Franz, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: physical sciences Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. Paweł Możejko, prof. PG; dr hab. Jan Franz, prof. PG Total hours of training: 15 teaching hours Course...

• Analiza danych typu Big Data 2023/24 KOPIA

  Kursy Online

  • 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

  Kursy Online

  • P. Jasik

• Data quality assurance

  Kursy Online

  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

• [NF] Monographic lectures on physics: Quantum Collisions: Theoretical Foundations - 2022

  Kursy Online

  • J. Franz
  • R. Jankowski
  • P. Możejko

  {mlang pl} Dyscyplina: nauki fizyczne Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. Paweł Możejko, prof. PG; dr hab. Jan Franz, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: physical sciences Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. Paweł Możejko, prof. PG; dr hab. Jan Franz, prof. PG Total hours of training: 15 teaching hours Course...

• Spatial data processing technologies

  Kursy Online

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

• Business Data Analytics-2022

  Kursy Online

  • N. Rizun

• Operating systems (Data Engineering)

  Kursy Online

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

• Inżynieria Danych Data Science

  Kursy Online

  • P. Jasik

• Numerical Methods - Data Engineering

  Kursy Online

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

  studia inżynierskie, informatyka i inżynieria danych

• Projektowanie zajęć prowadzonych na odległość (10h e-learning)

  Kursy Online

  • M. M. Łapińska
  • A. M. Dąbrowicz-Tlałka
  • M. M. Musielak

• Visualization of Economic Data - 2022

  Kursy Online

  • O. Aydin

• „Active learning w praktyce” - 17. Szkolenie certyfikowane 13.12.2022 r.

  Kursy Online

• „Active learning w praktyce” - 4. Szkolenie certyfikowane 21.10.2022 r.

  Kursy Online