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Catalog
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Search results for: INNOVATION NETWORKS, INNOVATIONS, INSTITUTIONS, INSTITUTIONAL ANALYSIS, PARAMETRIC AND NON-PARAMETRIC STATISTICS, EMPIRICAL RESEARCH, POLAND, THE KRUSKAL-WALLIS H TEST, REGRESSION ANALYSIS
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Statistics II 2019
e-Learning CoursesStatistics II for International Management
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Operational Research 2024
e-Learning CoursesCourse discusses components, characteristics, classification, analysis, and applications of queuing systems.
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New and Fast Analytical Techniques in Food Quality Analysis
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Statistics 21/22
e-Learning CoursesDuring the course students will get familiar with the basics of probability and statistics applied to environmental cases.
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Decision analysis (l/lab)_STACJ._winter 2021/22
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Non-relational Databases 2022/2023
e-Learning CoursesThis course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.
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Non-relational Databases 2023/2024
e-Learning CoursesThis course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.
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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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Operational Research - Queuing Systems 2022
e-Learning CoursesComponents, characteristics, classification, analysis, and applications of queuing systems.
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Descriptive Statistics 2024
e-Learning CoursesDescriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24
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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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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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Research Methods
e-Learning CoursesThis course on research methods is intended for 5th semester students of BiM Programme.
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Mathematical Statistics (2022/23)
e-Learning CoursesMathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23
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Mathematical Statistics (2023/24)
e-Learning CoursesMathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24
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Descriptive Statistics - summer 2022
e-Learning CoursesDescriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22
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Innovation Process Management 2023/2024
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Statistics (EE, MSc, sem. I)
e-Learning CoursesStatistics course. Kurs statystyki w inżynierii środowiska realizowany w języku angielskim.
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Modeling the Networks - ed. 2021/2022
e-Learning CoursesThe goal of this course is to present optimization problems for road networks, where the road network is a set of n distinct lines, or n distinct (open or closed) line segments, in the plane, such that their union is a connected region.
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Quantitative research methods
e-Learning CoursesQuantitative research methods - dr P. Paradowski
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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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Statistics
e-Learning CoursesStatystyka dla inżynierów środowiska.
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Gravity-related research (2020/21)
e-Learning CoursesThe goal of the subject is to extend of the knowledge gained in the framework of general mechanics (statics, kinematics, dynamics). Students will be familiarized with the description of the kinematics and dynamics of motion in typical gravity-related research conditions (microgravity in parabolic flights, drop towers, sounding rockets) as well as gravity-related research platforms, its opportunities and limitations. Additionally,...
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Genetyka człowieka - TEST 14.06.2021
e-Learning CoursesTest zaliczeniowy z genetyki człowieka 14.06.2021
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Materiały Czujnikowe, Test Zaliczający
e-Learning CoursesZdalny test zaliczający z przedmiotu Materiały Czujnikowe
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Placement Test - jezyk angielski
e-Learning CoursesPlacement Test dla wszystkich, którzy chcą sprawdzić swoje umiejętności.
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Research grant applications (W)
e-Learning CoursesSearching for a grant for yourself. Competitions: of the Ministry of Science and Higher Education (MNiSW), of the National Science Center (NCN)' of the Foundation for Polish Science (FNP), of the National Center for Research and Development (NCBiR), European Commission Grants (ERC). Formulation of the application: analysis of the requirements. Description of project issues: purpose, meaning, work plan, and methodology. Reviewer's...
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Statistics II
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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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Essentials of statistics
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Essentials of statistics
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Research Grant Applications (SEM)
e-Learning CoursesSearching for a grant for yourself. Competitions: of the Ministry of Science and Higher Education (MNiSW), of the National Science Center (NCN)' of the Foundation for Polish Science (FNP), of the National Center for Research and Development (NCBiR), European Commission Grants (ERC). Formulation of the application: analysis of the requirements. Description of project issues: purpose, meaning, work plan, and methodology. Reviewer's...
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Zarządzanie organizacjami non profit - lato 2022
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Zarządzanie organizacjami non profit - lato 2023
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Statistics II - lecture
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Statistics II - LAB
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STATISTICS I winter24
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Statistics II 2024
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Research project I (February 2024)
e-Learning CoursesThis is the course for English-speaking students of Research project I. Access code: KSiSR2024 If you have some problem with access to the course please sent me e-mail to: slagaj@eti.pg.edu.pl (give me the name and your id number).
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Physics Research Method IV
e-Learning Courses{mlang pl} Dyscyplina: Nauki Fizyczne Zajęcia obowiązkowe dla doktorantów II roku Prowadzący: prof. Julien Guthmuller Liczba godzin: 15 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Phisical Sciences Obligatory course for 2nd year PhD students Academic teacher: prof. Julien Guthmuller Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}
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Essentials of statistics 2022_23
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ESSENTIALS OF STATISTICS winter24
e-Learning Courses