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Search results for: pinch analysis
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Mathematical and numerical modelling, L, IDE, sem. 01, summer 21/22,(M:00057379)
e-Learning CoursesModelling. Optimal control. Modal analysis. High speed milling. Mechatronic design.
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NOVEL ANALYTICAL TECHNIQUES seminars
e-Learning CoursesStudents will gain theexperience how to presents the knowledge in the range of analysis and monitoring of pullutants.
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Fundamentals of Electrotechnics and Electronics 1 [2022/23]
e-Learning CoursesBasic concepts in electrical engineering, analysis of electric circuits, phenomena occurring in electrical systems.
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PDW: Oświetlenie dzienne w architekturze sem 4 23/24
e-Learning CoursesThe elective project class is dedicated to daylight analysis within the built environment.
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Elective course: Daylight sem 4 and 6 23/24
e-Learning CoursesThe elective project class is dedicated to daylight analysis within the built environment.
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Financial Anaysis (exercises, 2022)
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Elective Project II (Erasmus) sem. 6
e-Learning CoursesThe elective project II class is dedicated to daylight analysis within the built environment.
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Elective Project I ENG sem. MSc (23/24)
e-Learning CoursesThe elective project I class is dedicated to daylight analysis within the built environment.
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Elective Project II ENG sem. 5 (23/24)
e-Learning CoursesThe elective project II class is dedicated to daylight analysis within the built environment.
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Elective Project II ENG sem. 5 (24/25)
e-Learning CoursesThe elective project II class is dedicated to daylight analysis within the built environment.
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Elective Project III
e-Learning CoursesThe elective project II class is dedicated to daylight analysis within the built environment.
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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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Decision analysis (l/lab) winter 2020/21
e-Learning CoursesDecision analysis (l/lab)_winter 2020/21
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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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Qualitative Data Analysis Methods -Summer 22/23
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New and Fast Analytical Techniques in Food Quality Analysis
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Volatility modelling and market risk analysis 2024/2025
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Deep neural networks for data analysis 24/25
e-Learning CoursesThis 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...
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Deep neural networks for data analysis 27/28
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Deep neural networks for data analysis 25/26
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Deep neural networks for data analysis 26/27
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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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Rural Design Studio- 2024
e-Learning CoursesSummer practice - rural analysis, works on the map, in a terrain and with the people and subsequent Design Studio in winter semester of 2024/25
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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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Manufacturing Engineering, PG_00050286, DaPE, 2023, s. zimowy (Archiwizowany 2023-11-02)
e-Learning CoursesAcquainting with basic manufacturing techniques in terms of technological effects and properties of the workpiece surface layer. Analysis of manufacturing costs, designing the technological process.
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Decision analysis (l/lab)_STACJ._winter 2021/22
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NEW AND FAST ANALYTICAL TECHNIQUES IN FOOD QUALITY ANALYSIS 2024
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E-marketing and trend analysis 2024, ID, sem. 6
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Głębokie Sieci Neuronowe Do Analizy Danych
e-Learning Courses{mlang pl}Kurs przeznaczony jest dla studentów kierunku Inżynieria Danych.{mlang} {mlang en}Course for Data Analysis students.{mlang}
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European Economic Development 2023
e-Learning CoursesMain 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...
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DAYLIGHT IN ARCHITECTURE (Elective Project I: MSc term 1) - 23-24
e-Learning CoursesThe objectives of this course are: To familiarize students with the role and importance of daylight in shaping building spaces and interiors. To learn about the basics of daylight simulations in the context of complex design decisions and for LEED and BREEAM, integrated design purposes. Proposed assignments 1 & 2: 1. Daylight analysis exterior, the interior of the iconic building (sunlight provision, daylight factor, and...
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Business Data Analytics-2022
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Monitoring and Analytics of Environmental Pollutants
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MONITORING AND ANALYTICS OF ENVIRONMENTAL POLLUTANTS
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Geotechnics
e-Learning CoursesThe course is divided into two parts. The first is related to in-situ tests and their applications for the design of shallow and deep foundations. The second part is related to models of soil behavior and numerical analysis in geotechnical engineering.
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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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Management and economic of engineer projects
e-Learning CoursesLectures - 05 October-30 November, 2023 1. Project management: Engineers, projects, management, planning and scheduling, personnel and organizational, team building, project control, estimating and ordering. 2. Team building: personality types, team effectiveness. 3. Project management: WBS, Gantt, Earned Value Method, critical path, risk management. 4. Economic Engineering: Establishing economic equivalence, Interest: cost...
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Geotechnics 2023/2024
e-Learning CoursesThe course is divided into two parts: 1) Interpretation of in-situ tests and their application to foundation design 2) Soil models, interpretation of laboratory tests and their application to numerical analysis in geotechnics
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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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Business Data Analytics-2024 /2025
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Business Data Analytics-2023 /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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[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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Chemistry and Nanochemistry 2024
e-Learning CoursesWe start from General Chemistry, including: calculus in chemistry, bonds, balancing the chemical reactions, redox reactions, electrochemistry, pH, acids, bases, salts, oxides, organic molecules, and many informations about synthesis, analysis and applications in nanochemistry.
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Chemistry and Nanochemistry 2023
e-Learning CoursesWe start from General Chemistry, including: calculus in chemistry, bonds, balancing the chemical reactions, redox reactions, electrochemistry, pH, acids, bases, salts, oxides, organic molecules, and many informations about synthesis, analysis and applications in nanochemistry.
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Team project I (2020/21)
e-Learning CoursesWithin 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.
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Economic growth_winter2022_2023
e-Learning CoursesBy the completion of the course student should be able to: a) identify and use key concepts related to the growth theories and process of convergence, b) apply comparative analytical skills necessary for cross-cultural analysis, c) curry an independent research on selected topics and to present the results in a well-organized way.