Search results for: Data Analysis

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• Data analysis - team project 2024

  e-Learning Courses

  • O. Aydin

• 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:...

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• [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...

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• Deep neural networks for data analysis 24/25

  e-Learning Courses

  • J. Cychnerski
  • K. Draszawka

  This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

• [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}      

• 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.

• 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.

• 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...

• 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.

• 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...

• Advanced methods in biosensing: fundamentals and applications

  e-Learning Courses

  • R. Bogdanowicz
  • J. Ryl

  This course provides instruction in the basic science and engineering conceptsrequired to understand the design and application of biosensors. Different biosensorsystems are explored, ranging from electrochemical devices, through to optical orthermal systems. Instruction is also given in the general principles of sampling andanalysis, statistical presentation and manipulation of data. The primary focus will bethe physics of biomolecule...

• Magnetism from fundamentals to spintronics 22/23

  e-Learning Courses

  • L. Piotrowski

  1. Basic magnetic quantities2. Magnetism of atoms and molecules, atoms in external magnetic fields3. Solid state magnetism, types of magnetic materials (dia-, para-, and ferromagnetism)4. Ferromagnetism and domain structures5. Magnetism of small particles, single domain particles (StonerWohlfarth model), thin films6. Experimental techniques of magnetic properties and magnetisation state determination. Domain structurevisualisation...

• TEAM RESEARCH PROJECT I & II_2024/25

  e-Learning Courses

  • A. Orchowska

  The aim of a team research project is to conduct a process in which Students will verify the research hypothesis set by the Client. For this purpose, the project may require the creation of a product, e.g. an application, a device and conducting appropriate research, analysis of results, etc. In the event that the University/Client shares confidential information (including data), the Students will be required to sign an undertaking...

• 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...

• Projektowanie Aplikacji Internetowych 2022/23

  e-Learning Courses

  • J. Kuchta

  {mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...

• 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...

• Projektowanie Aplikacji Internetowych 2023/24

  e-Learning Courses

  • J. Kuchta

  {mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...

• Projektowanie Aplikacji Internetowych 2024/25

  e-Learning Courses

  • J. Kuchta

  {mlang en}Web Application Design covers the software design phase, which falls between the analysis of the problem domain and the implementation of the program in the code. It shows the rules and guidelines for application design in general, with particular emphasis on web application design problems. Teaches systematic design in aspects of system architecture, application logic, user interface and data structure. Emphasizes the...