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Search results for: DESCRIPTIVE ANALYSIS METHODS
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Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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Methods of quantitative analysis (team project)
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Qualitative Data Analysis Methods -Summer 2022
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Scientific methods of computer data analysis and presentation
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METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)
e-Learning CoursesMETHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski
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Qualitative Data Analysis Methods -Summer 22/23
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[AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023
e-Learning Courses{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}
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[AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024
e-Learning Courses{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}
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[AEEiTK, ITiT] Scientific methods of computer data analysis and presentation 2024/2025
e-Learning Courses{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}
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Financial Analysis exercises - New
e-Learning CoursesTo 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.
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Financial Analysis exercises - New (copy)
e-Learning CoursesTo 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.
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Deep neural networks for data analysis
e-Learning CoursesThe 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:...
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Analiza danych typu Big Data 2022/23
e-Learning CoursesThe 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.
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Analiza danych typu Big Data 2023/24 KOPIA
e-Learning CoursesThe 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.
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Construction Management, WILIS, Civil Engineering, sem. I, 2022/2023
e-Learning CoursesTechniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.
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Construction Management, WILIS, Civil Engineering, sem. I, 2023/2024
e-Learning CoursesTechniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.
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Descriptive Statistics 2024
e-Learning CoursesDescriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24
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Descriptive Statistics with R
e-Learning CoursesDescriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23
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Descriptive & mathematical statistics 2019
e-Learning CoursesDescriptive Statistics for Data Engineering 2019
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Descriptive Statistics - summer 2022
e-Learning CoursesDescriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22
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Descriptive geometry
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STRENGTH of MATERIALS TOWARDS APPLICATIONS (2024)
e-Learning CoursesThe SMTA DATE Course consists of the following problems to be discussed during the lectures: - Introduction to strength of materials towards applications - Fundamentals of modelling in strength of materials towards applications - Materials and basic structures - Fundamentals of modelling in strength of materials towards applications - Definition of environment and loads - General, energy-based and advanced methods for analysis...
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Daylight in Architecture 2022/23
e-Learning CoursesTutor: Professor Claudia Naves David Amorim (University of Brasilia) Project: 60 h (lectures + online platform + individual consultations) With a support of e-platform NLITED educational content; http://lms.nlited.eu/, Students will become familiar with the different methods of daylight assessment within the built environment. Innovative daylight design is understood as a better user-centred and energy-efficient design strategy. The...
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TIME SERIES MODELING (PG_00063724)
e-Learning CoursesEffectively uses in-depth knowledge of economic time series analysis methods, applying the results of analyzes to formulate forecasts. Subject contents: 1. Classical time series analysis (trend, cyclical fluctuations) 2. Exponential smoothing models 3. Holt and Winters model 4. Stochastic processes and time series 5. Characteristics of stochastic processes 6. Process spectrum autocorrelation functions 7. Study of the stationarity...
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Numerical Methods
e-Learning CoursesNumerical Methods: for Electronics and Telecommunications students, Master's level, semester 1 Instructor: Michał Rewieński, Piotr Sypek Course description: This course provides an introduction to computational techniques for the simulation and modeling of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by various applications including modeling of integrated circuits,...
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Research Methods
e-Learning CoursesThis course on research methods is intended for 5th semester students of BiM Programme.
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2022-2023 - Strenght of materials towards applications, PG_00053661
e-Learning CoursesThe course is mainly dedicated to the DAPE Students. From the theoretical point of view the course consists of the following problems to be discussed during the lectures and exercises: -fundamentals of strength of materials -basic structures and environment -loads on structures -strength of materials: tension, stress, analysis of stress and strain, bending moments and shearing forces, longitudinal and shearing stress in beams,...
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Strenght of materials towards applications , PG_00053661
e-Learning CoursesThe course is dedicated to the DAPE WIMiO Students. From the theoretical point of view the course consists of the following problems to be discussed during the lectures: -fundamentals of strength of materials -basic structures and environment -loads on structures -strength of materials: tension, stress, analysis of stress and strain, bending moments and shearing forces, longitudinal and shearing stress in beams, bending stress...
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Decisions Analysis 2023/2024
e-Learning CoursesThis is content to the subject: "Decisions Analysis" to be used as a template for futher courses.
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Quantitative research methods
e-Learning CoursesQuantitative research methods - dr P. Paradowski
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Monte Carlo Methods
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 22/23
e-Learning CoursesThe 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...
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Measurements in civil engineering, transport, environmental engineering, mining and power engineering 23/24
e-Learning CoursesThe 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...
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Decisions Analysis STAC 22/23
e-Learning CoursesThis is content to the subject: "Decisions Analysis" 22/23
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Data Analysis 2023/24
e-Learning CoursesData Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24
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2022-2023 - Wytrzymałość materiałów I, PG_00039799
e-Learning CoursesCelem przedmiotu jest zapoznanie studentów z podstawowymi zagadnieniami związanymi z wytrzymałością materiałów. Wykłady dotyczą kolejno: podstawy wytrzymałości materiałów, wytrzymałość pręta prostego na ściskanie/rozciąganie, analiza wytrzymałości dla układów prętowych statycznie niewyznaczalnych, wytrzymałość prętów na skręcanie, wytrzymałość belek zginanie, odkształcenia belki zginanej, ścinanie pręta (pręt ścinany), stany naprężeń,...
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Macroeconomic analysis
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Market analysis
e-Learning CoursesKurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.
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Financial Analysis
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Decision analysis
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20232024_Elective design II_CULTURAL HERITAGE ROUTES_Gdańsk Virtual scenarios for city storytelling
e-Learning CoursesCultural Heritage Routes – Gdańsk. This course explores challenges, conflicts and concepts of cultural heritage preservation and protection in urban level, their connection to architectural and urban design in the time of digitalisation and their importance for a future of the cities. The aim of this course, based on the case study city of Gdańsk, is to understand the problem of cultural heritage and develop innovative...
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Monte Carlo Methods - 2023/24
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
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Monte Carlo Methods - 2024/25
e-Learning CoursesThis course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.
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Decision analysis (l/lab) winter 2020/21
e-Learning CoursesDecision analysis (l/lab)_winter 2020/21
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Spectroscopy Methods in Nanotechnology 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.
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Spectroscopy Methods in Nanotechnology 2022
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.
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Zaawansowane Metody Pomiarowe i Diagnostyczne 2022/2023
e-Learning Courses{mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...
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Zaawansowane Metody Pomiarowe i Diagnostyczne 2023/2024
e-Learning Courses{mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...
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Zaawansowane Metody Pomiarowe i Diagnostyczne 2024/2025
e-Learning Courses{mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...
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Numerical Methods for Partial Differential Equations
e-Learning CoursesCourse description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...