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Search results for: PROCESSING AND IMAGE ANALYSIS
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Business Process Analysis and Optimization 2024
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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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Qualitative Data Analysis Methods -Summer 22/23
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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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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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Zaawansowane Przetwarzanie Sygnałów - angielski - Nowy
e-Learning CoursesLecture presents development of advanced signal processing techniques. Seminar, after the lectures, considers selected issues/subjects of signal processing techniques presented by individual students.
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Environmental Protection in Energetics, PG_00049751, W, PE-ET, sem.1, winter 2023/24
e-Learning CoursesEnvironmental aspects of energy production and processing.
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Environmental Protection in Energetics (PG_00049751), W, PE-ET, sem.1, winter 2023/24
e-Learning CoursesEnvironmental aspects of energy production and processing.
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Environmental Protection in Energetics (PG_00049751), W, ET, sem.1, winter 2024/2025
e-Learning CoursesEnvironmental aspects of energy production and processing.
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Przetwarzanie rozproszone
e-Learning CoursesFoundations and rules of distributed and parallel processing in networked computer systems.
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Intelligent information services 23/24
e-Learning CoursesInformation retrieval Text categorization Natural language processing
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Przetwarzanie Rozproszone 2021/2022
e-Learning Courses{mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}
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Przetwarzanie Rozproszone 2022/2023
e-Learning Courses{mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}
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Przetwarzanie Rozproszone 2023/2024
e-Learning Courses{mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}
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Databases (Data Engineering) - 2022
e-Learning CoursesThe course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course.
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Databases (Data Engineering) - 2023
e-Learning CoursesThe course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course.
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Databases (Data Engineering) - 2024
e-Learning CoursesThe course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course.
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Naprowadzaniei pozycjonowanie obiektów oceanotechnicznych
e-Learning Courseswykonanie DP capability analysis
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Operational Research - Queuing Systems 2022
e-Learning CoursesComponents, characteristics, classification, analysis, and applications of queuing systems.
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Fundamentals of Electrotechnics and Electronics II - project China [EE][2024/25]
e-Learning CoursesIntroduction and analysis of fundamental electronic components, circuits and applications.
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Fundamentals of Electrical Engineering and Electronics 2 [EE][2024/25]
e-Learning CoursesIntroduction and analysis of fundamental electronic components, circuits and applications.
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Fundamentals of Electrotechnics and Electronics II - project China [2023/24]
e-Learning CoursesIntroduction and analysis of fundamental electronic components, circuits and applications.
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Summer Rural Practice
e-Learning CoursesSummer practice - rural analysis, works with the map, terrain and people.
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Chemistry and Nanochemistry 2022.
e-Learning CoursesThe course consists of lectures (15 x 2 hours) and laboratories (5 x 3 hours).The goal of this course is to teach general chemistry and adequately apply it to nano-size systems, their synthesis and analysis. An emphasis is laid on an analysis of electronic structure of molecules and prediction of resulting properties and reasons of consequent behaviour in chemical reactions. The course also encloses laboratory classes, where the...
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Operational Research - Queuing Systems 2024
e-Learning CoursesCourse discusses components, characteristics, classification, analysis, and applications of queuing systems.
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Operational Research - Queuing Systems 2024
e-Learning CoursesCourse discusses components, characteristics, classification, analysis, and applications of queuing systems.
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Operational Research 2024
e-Learning CoursesCourse discusses components, characteristics, classification, analysis, and applications of queuing systems.
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Elective Project 4 sem. (Daylight)
e-Learning CoursesThe elective project is dedicated to daylight analysis within a built environment.
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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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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.