Search results for: AFFECTIVE SOFTWARE ENGINEERING, EMOTIONAL LEXICONS, EMOTION MINING, EMOTION RECOGNITION, SENTIMENT ANALYSIS.

• 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...

• 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 2023/2024

  e-Learning Courses

  • A. Jarzębowicz

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• EMBOA - affective loop in Socially Assistive Robotics as an intervention tool for children with autism

  e-Learning Courses

  • M. Wróbel
  • A. Landowska

  The aim of the training course "Intensive programmes for higher education learner" within the EMBOA project is to familiarise participants with the use of social robots as an intervention tool for children with autism, emotion recognition and the combination of both methods. Students will be informed about the guidelines and results of the project.

• Data Mining (for Data Engineering) - Nowy

  e-Learning Courses

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

• Affective Computing

  e-Learning Courses

  • G. Brodny
  • A. Kołakowska
  • M. Sowiński
  • M. Wróbel
  • A. Landowska

• 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.

• Electrical and Software Systems Engineering [WIMiO][2023/24]

  e-Learning Courses

  • T. Zubowicz
  • B. Puchalski

• Electrical and Software Systems Engineering [WIMiO][2022/23]

  e-Learning Courses

  • T. Zubowicz
  • B. Puchalski

• 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

• Systems Software Design 1

  e-Learning Courses

  • A. Harasimiuk
  • P. Spaleniak

  Systems Software Design  

• Critical systems software testing and QA - Spring'24

  e-Learning Courses

  • A. Kaczmarek
  • B. Wiszniewski

  Course objectives: Present software development standards in the European space industry and techniques of their implementation. Learn how to assess and manage critical system software quality in an IT project. Gain basic hands-on experience in bug tracking and reporting in a software project.

• 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:...

• Financial Analysis exercises - New

  e-Learning Courses

  • P. Figura

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Financial Analysis exercises - New (copy)

  e-Learning Courses

  • K. Kubiszewska

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Software usability - 2023

  e-Learning Courses

  • G. Brodny
  • J. Miler
  • M. Wróbel
  • A. Landowska

• Software usability - 2022

  e-Learning Courses

  • G. Brodny
  • J. Miler
  • M. Wróbel
  • A. Landowska

• Systems Software Design

  e-Learning Courses

  • A. Harasimiuk

• Software usability - 2024

  e-Learning Courses

  • M. Wróbel
  • A. Landowska

• System Software Design

  e-Learning Courses

  • A. Harasimiuk

• Decisions Analysis 2023/2024

  e-Learning Courses

  • N. Rizun

  This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

  This is content to the subject: "Decisions Analysis" 22/23

• Electrical Engineering [Design and Production Engineering][2023/24]

  e-Learning Courses

  • F. Kutt
  • I. Mosoń

  Additional teaching materials for Electrical Engineering for Design and Production Engineering of the Faculty of Mechanical Engineering and Ship Technology course, conducted at the Faculty of Electrical and Control Engineering - 4'th semester, undergraduate

• Electrical Engineering [Design and Production Engineering][2022/23]

  e-Learning Courses

  • F. Kutt
  • M. Michna
  • R. Ryndzionek
  • I. Mosoń
  • Ł. Sienkiewicz

  Additional teaching materials for Electrical Engineering for design and production engineering course at the Faculty of Mechanical Engineering - 4'th semester, undergraduate

• DATA MINING NSTAC 2022

  e-Learning Courses

  • N. Rizun

  NSTAC

• Data Mining 2023/24

  e-Learning Courses

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

• Software Systems Design 2024

  e-Learning Courses

  • A. Harasimiuk

• Process Engineering in Circular Economy

  e-Learning Courses

  • J. Mąkinia

  Kurs jest przeznaczony dla doktorantów szkoły doktorskiej w dyscyplnach: inżynieria lądowa i transport (SzD), III stopnia, stacjonarne inżynieria środowiska, górnictwo i energetyka (SzD), III stopnia, stacjonarne   The course is addressed to PhD students of the doctoral school in disciplines: civil engineering and transport environmental engineering, mining and power engineering Course type: lecture Total hours of...

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• [ILiT, IŚGiE] Mathematical methods in engineering

  e-Learning Courses

  • R. Jankowski
  • R. Sauer
  • M. Skowronek

  {mlang pl} Dyscyplina: inżynieria lądowa i transport; inżynieria środowiska, górnictwo i energetyka Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr inż. Roger Sauer, prof. PG Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: civil engineering and transport; environmental engineering, mining and power engineering Obligatory course for 1st and 2nd-year PhD students Academic teacher: dr...

• Macroeconomic analysis

  e-Learning Courses

  • M. Olczyk

• Market analysis

  e-Learning Courses

  • A. Kozłowska

  Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

• Financial Analysis

  e-Learning Courses

  • K. Kubiszewska

• Decision analysis

  e-Learning Courses

  • B. Woliński

• DATA MINING STAC 2022/2023

  e-Learning Courses

  • N. Rizun

  STAC

• Advanced Data Mining 2022/23

  e-Learning Courses

  • P. Weichbroth
  • A. Kołakowska
  • G. Gołaszewski
  • K. Flisikowski
  • A. Karpus
  • K. Goczyła

• Advanced Data Mining 2023/24

  e-Learning Courses

  • A. Kołakowska
  • A. Karpus

• DATA MINING NSTAC 2022 ON-LINE

  e-Learning Courses

  • N. Rizun

  NSTAC

• Decision analysis (l/lab) winter 2020/21

  e-Learning Courses

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• Engineering Graphics II, PG_00040167

  e-Learning Courses

  • J. Łubiński
  • B. Bastian

  Engineering Graphics

• METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

  e-Learning Courses

  • P. Paradowski

  METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

• Selected aspects of modern X-ray structural analysis 2024

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Selected Aspects of Modern X-ray Structural Analysis 2023

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Software Systems Design 2024 kopia 2

  e-Learning Courses

  • A. Harasimiuk

• [ILiT, IŚGiE] Process engineering in circular economy - Nowy

  e-Learning Courses

  • J. Mąkinia

  Kurs jest przeznaczony dla doktorantów szkoły doktorskiej w dyscyplnach: inżynieria lądowa i transport (SzD), III stopnia, stacjonarne inżynieria środowiska, górnictwo i energetyka (SzD), III stopnia, stacjonarne The course is addressed to PhD students of the doctoral school in disciplines: civil engineering and transport environmental engineering, mining and power engineering Course type: lecture Total hours of...

• Technical physics (Data Engineering)

  e-Learning Courses

  • S. Bielski

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

• Engineering Graphics II, W/P, Design and Production engineering, sem. letni 2021/2022, (PG_00040167)

  e-Learning Courses

  Course for Engineering Graphics II classes of Design and Production engineering students