Search results for: CONCRETE, DATA MINING, FAILURE OCCURRENCE PREDICTION, MACHINE CONCRETE FOUNDATIONS, MACHINE LEARNING

• 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:...

• Foundations of Capital Markets Analysis 2022

  e-Learning Courses

  • M. Gnyba

• 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 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.

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

  e-Learning Courses

  • J. Mytnik
  • O. Ludyga

• Blended Learning Tasks 2

  e-Learning Courses

  • I. Mokwa-Tarnowska

  Kurs dla Wydziału Mechanicznego

• Blended Learning Tasks 6

  e-Learning Courses

  • I. Mokwa-Tarnowska

  Kurs dla Wydziału Architektury

• Deep Learning w Keras

  e-Learning Courses

  • A. Karpus

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

• Blended Learning Tasks 4

  e-Learning Courses

  • I. Mokwa-Tarnowska

• Blended Learning Tasks 1

  e-Learning Courses

  • I. Mokwa-Tarnowska

  Kurs dla Wydziału Mechanicznego

• Blended Learning Tasks 5

  e-Learning Courses

  • I. Mokwa-Tarnowska

  Kurs dla ETI

• Blended Learning Tasks 3

  e-Learning Courses

  • I. Mokwa-Tarnowska

  Kurs dla WILiŚ

• 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. 

• Podstawy uczenia maszynowego AI

  e-Learning Courses

  Podstawy uczenia maszynowego. Machine Learning fundamentals.

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

  e-Learning Courses

  • 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)

  e-Learning Courses

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

• 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

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

  e-Learning Courses

  • 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

  e-Learning Courses

  • 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

  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.

• E-learning workshops with Norbert Berger

  e-Learning Courses

  • 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

  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.

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

  e-Learning Courses

  • 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

  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

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

  e-Learning Courses

  • 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

  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

• 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

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

  e-Learning Courses

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

• Visualization of Economic Data - 2022

  e-Learning Courses

  • O. Aydin

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

  e-Learning Courses

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

  e-Learning Courses