Search results for: ANALYSIS OF RANDOM SIGNALS

• Statistics 2022_23

  e-Learning Courses

  • S. M. Kot

  1.Elements of probability. The axioms of the probability theory 2. Random  variables and their distributions. Discrete and continuous random variables 3. Parameters of random variables: expected value, moments 4. Selected distributions of random variables (Bernoulli, Poison, Gaussian) 5.The distribution in the sample. Visualisation by histograms 6. Measures of statistical location: arithmetic mean, median, quantiles. 7. Measures...

• Change Detection in Signals 2023

  e-Learning Courses

  • J. Kozłowski

  Change Detection in Signals - files for students.

• Identification of Changes in Signals - 2023

  e-Learning Courses

  • J. Kozłowski

  Identification of Changes in Signals (practice) Identyfikacja Zmian w Sygnałach (ćw.)

• Random Processes 2022/2023

  e-Learning Courses

  • B. Czaplewski

  The e-learning course page for the purpose of the remote or hybrid learning for Random Processes.

• Random Processes 2023/2024

  e-Learning Courses

  • B. Czaplewski

  The e-learning course page for the purpose of the remote or hybrid learning for Random Processes.

• 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...

• 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. 

• 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

• Random Processes and Stochastic Control - project

  e-Learning Courses

  • K. Cisowski

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

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

• Radio reception signals II 2023/2024

  e-Learning Courses

  • A. Marczak
  • M. Gajewska

  Kurs będzie narzędziem pomocniczym przy realizacji laboratorium z tego przedmiotu.

• 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...

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• 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

• Random processes - theory for the practician, computer classes

  e-Learning Courses

  • M. Ciołek

  Automatyka i Robotyka, semestr 1 studia II stopnia

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

  e-Learning Courses

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• 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:...

• 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 

• Technika odbioru radiowego (Reception of Radio Signals) - 2023/2024

  e-Learning Courses

  • J. Stefański

  Zajęcia przeznaczone są dla studentów 1. semestru studiów II stopnia. Celem przedmiotu jest zapoznanie z teorią i praktycznymi zagadnieniami z odbioru radiowego ze szczególnym uwzględnieniem odbiorników cyfrowych.

• 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

• Fundamentals of microscopic analysis

  e-Learning Courses

  • A. Zieliński

• Analiza decyzyjna/Decision analysis

  e-Learning Courses

  • B. Woliński

• Market Analysis 2022/23

  e-Learning Courses

  • A. Kozłowska

• Financial Analysis (lectures, 2022)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska

• Financial Analysis (22/23)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska

• Financial Analysis (summer 2024)

  e-Learning Courses

  • P. Figura

• Market Analysis 2023/24

  e-Learning Courses

  • N. Przybylska
  • E. Gołąb-Andrzejak
  • A. Kozłowska

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba

• Business Analysis Winter 2022/23

  e-Learning Courses

  • M. McPhillips

• Business Analysis Winter 2023/24

  e-Learning Courses

  • M. McPhillips

• Random processes - theory for the practician summer term 2020/2021, computer classes

  e-Learning Courses

  • M. Ciołek
  • M. Niedźwiecki

• Foundations of Capital Markets Analysis 2022

  e-Learning Courses

  • M. Gnyba

• E-marketing and trend analysis - 2023

  e-Learning Courses

  • M. Brzozowska-Woś

• Business Process Analysis and Optimization 2022

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  e-Learning Courses

  • M. Grzesiak

• Methods of quantitative analysis (team project)

  e-Learning Courses

  • A. Kordalska

• E-marketing and trend analysis - 2022

  e-Learning Courses

  • M. Brzozowska-Woś

• 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

• New and Fast Analytical Techniques in Food Quality Analysis

  e-Learning Courses

  • K. Parchem
  • I. Koss-Mikołajczyk
  • A. Sommer
  • P. Filipkowski
  • H. Staroszczyk