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Search results for: REGENERATION, THERMODYNAMIC ANALYSIS
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Numerical methods in heat and fluid flow, PG_00057408
e-Learning CoursesReiteration of information on thermodynamic cycles and extension of information on their modelling using commercial software tools. Presentation of balances, constitutive equations, how to set up conditions in CFD type codes. Equipment regulation and control in the context of heat exchangers.Presentation of the computational capabilities of the CFD calculation code ANSYS Fluent. Mass, momentum and energy balances in 0D and 3D terms.Analysis...
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Architectural and urban theories in urban regeneration
e-Learning CoursesThis course deals with key issues associated with contemporary architectural and urban teories associated with transformation and revitalization of the distressed / degradated areas and buildings / objects. The architectural topics will be presented by dr Ksenia Piątkowska and Prof. Lucyna Nyka, while urban topics will be discussed by Prof. Piotr Lorens. Particular topics and themes will be presented according to the individual...
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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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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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Qualitative data analysis methods
e-Learning CoursesThis is the continuation of Qualitatative Data Analysis Methods course provided online
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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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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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Decision analysis (l/lab) winter 2020/21
e-Learning CoursesDecision analysis (l/lab)_winter 2020/21
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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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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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Selected aspects of modern X-ray structural analysis 2024
e-Learning CoursesSelected Aspects of Modern X-ray Structural Analysis
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Selected Aspects of Modern X-ray Structural Analysis 2023
e-Learning CoursesSelected Aspects of Modern X-ray Structural Analysis
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Analiza decyzyjna/Decision analysis
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Market Analysis 2022/23
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Financial Analysis (lectures, 2022)
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Financial Analysis (22/23)
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Financial Analysis (summer 2024)
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Market Analysis 2023/24
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Foundations of Capital Market Analysis
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Foundations of Capital Market Analysis
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Business Analysis Winter 2022/23
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Business Analysis Winter 2023/24
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Foundations of Capital Markets Analysis 2022
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E-marketing and trend analysis - 2023
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Business Process Analysis and Optimization 2022
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Business Process Analysis and Optimization 2023
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Methods of quantitative analysis (team project)
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E-marketing and trend analysis - 2022
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Qualitative Data Analysis Methods -Summer 2022
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[ITiT] Technologies of Spatial Data Analysis and Processing
e-Learning Courses{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...
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Scientific methods of computer data analysis and presentation
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Qualitative Data Analysis Methods -Summer 22/23
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New and Fast Analytical Techniques in Food Quality Analysis
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Decision analysis (l/lab)_STACJ._winter 2021/22
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E-marketing and trend analysis 2024, ID, sem. 6
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NEW AND FAST ANALYTICAL TECHNIQUES IN FOOD QUALITY ANALYSIS 2024
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Planning of experiments and error analysis, W, MiBM, letni 21/22 (PG_00057374)
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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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Planning of experiments and error analysis, C, MiBM, letni 21/22 (PG_00057374)
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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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Planning of experiments and error analysis, C, IDE, sem.01, letni 22/23 (PG_00057374)
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Planning of experiments and error analysis, W, IDE, sem.01, letni 22/23 (PG_00057374)
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Planning of experiments and error analysis, W/C, IDE, sem. 1, letni, 2023/24
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Wprowadzenie do analiz egzergetycznych, PG_00059783
e-Learning CoursesThe aim of the course is to present the basic issues to carry out the balance of exergy and entropy in addition to the balance of mass and energy. To show the definition of the maximum work that a certain matter can do in a thermodynamic process when transitioning to equilibrium with its surroundings. To refer to chemical exergy and show the application of the exergy balance to define losses in a thermodynamic cycle.
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Fundamentals of thermodynamics and heat transfer, W/C, GTM (WCh), sem.04, zimowy 23/24 (PG_00048767)
e-Learning CoursesTable of contents presented on the course: Basic terms.The first law of thermodynamics for closed and open systems.The properties of perfect, semi-perfect and real gases.Gas rights. Thermal and caloric state equation.Thermodynamic transformations of a perfect gas.Gaseous thermodynamic cycles. The second law of thermodynamics.Steam and steam cycles.Basics of heat exchange.