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Search results for: QUANTITATIVE METHODS, STRUCTURAL EQUATION MODELING, SYSTEMATIC LITERATURE REVIEW, MANAGEMENT, ECONOMICS, CITATION ANALYSIS, GEOGRAPHIC AREA, INDUSTRY, WEB OF SCIENCE, SCOPUS.
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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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Quantitative research methods
e-Learning CoursesQuantitative research methods - dr P. Paradowski
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Methods of quantitative analysis (team project)
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Management and Economics 2022
e-Learning CoursesIntroduction to Management and Economics, Learning by Doing method based upon trends in geopolitics and modern economics frameworks, strategy and Business Models Management Tools SEMESTR II Green Technologies and Monitoring
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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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FORECASTING - QUANTITATIVE METHODS
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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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[ZiJ, EiF] Quantitative research methods
e-Learning Courses{mlang pl} Dyscyplina: nauki o zarządzaniu i jakości, ekonomia i finanse Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: dr Piotr Paradowski Liczba godzin: 30 Forma zajęć: laboratories Kurs realizowany w zakładce WZiE: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=11366 Na kurs należy zapisać się samodzielnie: https://enauczanie.pg.edu.pl/moodle/enrol/index.php?id=11366 {mlang} {mlang en} Discipline:...
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Management and Economics for GTM
e-Learning CoursesThe aim of this course is to make students acquainted with economic foundations, economic way of thinking and elements of own business management. Green Technologies and Monitoring 2nd semester
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Management in space industry WiMiO
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Essentials of computer science for Bachelor in Management students
e-Learning CoursesVarious resources accompanying "Essentials of computer science" classes for Bachelor in Management 1st year students.
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[EiF] [ZiJ] Writing scientific papers for Management and Economics Fields of Science
e-Learning Courses{mlang pl} Dyscyplina: soft skills Zajęcia obowiązkowe dla doktorantów I i II roku z dyscyplin EiF oraz ZiJ, Prowadzący: dr hab inż. Aleksandra Parteka, prof. PG Liczba godzin: 5 Forma zajęć: {mlang} {mlang en} Discipline: soft skills Obligatory course for 1st and 2nd-year PhD students of EiF and ZiJ disciplines Academic teacher: dr hab. inż. Aleksandra Parteka, prof. PG Total hours of training: 5 teaching hours Course...
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[EiF, ZiJ] Quantitative research methods
e-Learning Courses{mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: P. Paradowski, LIS&PG Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: P. Paradowski, LIS&PG Total hours of training: 30 teaching hours Course type: Laboratories {mlang}
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Methods of structural studies for GT
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2022/2023 Methods of structural studies
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Essentials of Excel in economics and management
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Organisation Science - winter term 22/23
e-Learning CoursesThis course is intended for students of the first semester of Bachelor in Management program at the Faculty of Management and Economics.
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Organisation Science - winter term 23/24
e-Learning CoursesThis course is intended for students of the first semester of Bachelor in Management program at the Faculty of Management and Economics.
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Literature and other resources
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Materials science. Quantum particle approach. 2022.
e-Learning Coursesquantum methods for materials and molecular modeling.
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Material Science Quantum Particle Approach 2021
e-Learning Coursesquantum methods for materials and molecular modeling.
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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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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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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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Qualitative Data Analysis Methods -Summer 22/23
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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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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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Introductory modeling for decision-making using AMPL
e-Learning CoursesIntroductory modeling for decision-making using AMPL
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Modeling projects for decision-making using AMPL
e-Learning CoursesModeling projects for decision-making using AMPL
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Numerical Modeling of Hydrosystems 2023/2024
e-Learning CoursesKurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG
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Geographic Information Systems
e-Learning CoursesWydział Chemii, studia magisterskie, kierunek Green Technologies and Monitoring
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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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Numerical Modeling of Hydrosystems 2022/2023 (summer)
e-Learning CoursesKurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG
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Numerical Modeling of Hydrosystems 2022/2023 (winter)
e-Learning CoursesKurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG
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Computer modeling and design of materials 2022/2023
e-Learning CoursesComputer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3
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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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Economics GT
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Economics SMEs
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Geographic Information Systems ID
e-Learning CoursesInżynieria Danych, 1 stopień stacjonarne
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Geographic Information Systems ID
e-Learning CoursesInżynieria Danych, 1 stopień stacjonarne
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Management Psychology 2022
e-Learning CoursesDuring the Management Psychology course, the focus is placed on how psychological science, research, and knowledge can support management. The course topics include elements pertaining to individual differences, decision-making, leadership, group work, stress management, and more. Course participants have to take a mid-term test and submit the final project at the end of the semester. During our first meeting, you have learned...
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Surface Science - 2023/2024
e-Learning CoursesThe course is not a full time lecture but on the consultation/handouts. The consulations are held every two weeks. The course is based on the Springer textbook: Surface Science An Introduction Downloadable at: https://link.springer.com/book/10.1007/978-3-662-05179-5 (PG network or vpn access) The goal of the subject is the presentation of basic problems resulting from he existence of interfacebetween material objects...
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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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Accounting in Power Industry [23/24]
e-Learning CoursesThe course is for Energy Technologies students
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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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Applications of Geographic Information Systems
e-Learning CoursesFirst degree studies Data Engineering