Search results for: research data management

• Management and Economics for GTM

  e-Learning Courses

  • K. Zięba

  The 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

• Technical physics (Data Engineering)_22/23

  e-Learning Courses

  • D. Głowienka
  • S. Bielski

  Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

• Technical physics (Data Engineering)_23/24

  e-Learning Courses

  • D. Głowienka
  • S. Bielski
  • A. Sbai
  • R. C. Sia

  Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

• Data Structures (Doctoral Studies) - New

  e-Learning Courses

  • K. Goczyła

  The course is designed to provide students with the knowledge regarding basic data structures and associated algorithms used in broad range of applications. Students will also gain knowledge about how to evaluate the quality of algorithms in the context of time and space usage. Additionally, during seminars, students get familiar with biographies of most famous creators of the algorithms.

• Basics of Data Warehouses Path

  e-Learning Courses

  • A. Nabożny
  • G. Gołaszewski
  • T. Zawadzka
  • K. Goczyła

  Within this path the basic aspects of data warehouses (architecture, star schema, etc.) are discussed. The course is intended for students of the 1st degree of Informatics Field (semester 5) -  Kurs planowany dla studentów I stopnia kierunku informatyka (semestr 5) - przedmiot Hurtownie danych oraz dla studentów II stopnia kierunku informatyka, specjalność ZAD.

• Big Data processing frameworks - 2022

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Big Data processing frameworks - 2023

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Big Data processing frameworks - 2024

  e-Learning Courses

  • A. Przybyłek

  Informatics, postgraduate studies Data Engineering, undergraduate studies

• Qualitative Research Methods

  e-Learning Courses

  • K. Zięba

• Research Project Management_InterPhDII

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

• Marketing Research IM

  e-Learning Courses

  • D. Dąbrowski
  • A. Tybińkowska

• Scientific Research Method

  e-Learning Courses

  • J. Szczepański

• Operational Research 2024

  e-Learning Courses

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Logistics management summer 2023_Joanna Czerska

  e-Learning Courses

  • J. Czerska

  This course is an integral component of the Logistics Management course for 3rd semester BIM students.The Logistics Management course will introduce you to the world of supply chain and its challenges. During our adventure together you will have a chance to know, feel and experience it.

• Logistics management summer 2025_BIM2_Joanna Czerska

  e-Learning Courses

  • N. K. Gietka
  • M. Laskowska
  • J. Czerska
  • A. Wendt

  This course is an integral component of the Logistics Management course for 3rd semester BIM students.The Logistics Management course will introduce you to the world of supply chain and its challenges. During our adventure together you will have a chance to know, feel and experience it.

• Logistics management summer 2024_BIM2_Joanna Czerska

  e-Learning Courses

  • N. K. Gietka
  • J. Czerska
  • A. Wendt

  This course is an integral component of the Logistics Management course for 3rd semester BIM students.The Logistics Management course will introduce you to the world of supply chain and its challenges. During our adventure together you will have a chance to know, feel and experience it.

• Logistics management summer 2024_BIM2_Joanna Czerska

  e-Learning Courses

  • J. Czerska

  This course is an integral component of the Logistics Management course for 3rd semester BIM students.The Logistics Management course will introduce you to the world of supply chain and its challenges. During our adventure together you will have a chance to know, feel and experience it.

• Logistics management summer 2024_BIM6_Joanna Czerska

  e-Learning Courses

  • E. Brodnicka
  • J. Czerska
  • A. Wendt

  This course is an integral component of the Logistics Management course for 3rd semester BIM students.The Logistics Management course will introduce you to the world of supply chain and its challenges. During our adventure together you will have a chance to know, feel and experience it.

• Water Resources Management 2022/2023

  e-Learning Courses

  • T. Kolerski
  • A. M. Mustafa

  Water Resources Management as defined for purpose of this course includes both water use and water excess management. The fundamental water resources engineering processes are the hydrologic processes and the hydraulic processes. The common threads that relate to the explanation of these processes are the fundamentals of fluid mechanics. The hydrologic processes include rainfall, evaporation, infiltration, rainfall-runoff and routing,...

• Analiza danych typu Big Data 2022/23

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

  The 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.

• Financial Management in Enterprise (Dezhou University)

  e-Learning Courses

  • W. Stahl

  Financial Management in Enterprise course - materials and online lessons

• Empirical research on household economic behaviour and well-being (MK_AGIIA_B16)

  e-Learning Courses

  • P. Paradowski

  Empirical research on household economic behaviour and well-being" - Analityka gospodarcza (studia w jęz. angielskim) (WZiE), II stopnia, stacjonarne, 2020/2021 - zimowy , LAB

• Analiza danych typu Big Data 2024/25

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

  The aim of the course is to familiarize students with the methods of acquiring, storing, and analyzing big data. Practical tools for these tasks are presented.

• Deep neural networks for data analysis

  e-Learning Courses

  • K. Draszawka

  The 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:...

• Methodology of scientific research

  e-Learning Courses

  • J. Rybicki

• Methodology of scientific research

  e-Learning Courses

  • J. Rybicki

• HR management - Bachelor in management

  e-Learning Courses

  • Ł. Sienkiewicz

• MANAGEMENT

  e-Learning Courses

  • A. Orłowski

• Gravity-related research, T, EMSS, sem. 01 summer, 21/22, (PG_00054983)

  e-Learning Courses

  • G. Banaszek

  Presentation of knowledge and research in the field of gravity phenomenon.

• Management and economic of engineer projects

  e-Learning Courses

  • A. Ossowska

  Lectures  - 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...

• Analiza danych typu Big Data 2023/24 KOPIA

  e-Learning Courses

  • W. Waloszek

  The 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.

• [ZiJ, EiF] Quantitative research methods

  e-Learning Courses

  • M. Gurczyńska
  • P. Paradowski

  {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:...

• Human Resources Management - International Management

  e-Learning Courses

  • Ł. Sienkiewicz

• Big Data 2023

  e-Learning Courses

  • P. Jasik

• Data quality assurance

  e-Learning Courses

  The first lecture: 22.02.2021 at 8:15 on Teams Pierwszy wykład: 22.02.2021 o 8:15 w Teams ---------------------------------------------- Kierunek: Inżynieria danych (WETI) Studia I stopnia - inżynierskie, stacjonarne, semestr 6

• Data quality assurance

  e-Learning Courses

  • P. Weichbroth

• Advanced data mining

  e-Learning Courses

  • A. Kołakowska
  • A. Karpus

• Lean Management 2023

  e-Learning Courses

  • J. Czerska
  • A. Wendt

  Kurs Lean Management to 15h materiał teoretyczny on-line z mini zadaniami, którego istotnym rozwinięciem jest 30h ćwiczeń realizowanych w trybie stacjonarnym, czyli podczas naszych wspólnych zajęć. Celem materiału teoretycznego jest przybliżenie Wam tzw. WHY?, czyli przyczyn, dla których wiedza, którą będziemy Wam przekazywać i umiejętności, które zdobywać będziecie podczas ćwiczeń stanowią wartość dla przedsiębiorstw i jej...

• Lean Management 2022

  e-Learning Courses

  • J. Czerska
  • A. Wendt

  Kurs Lean Management to 15h materiał teoretyczny on-line z mini zadaniami, którego istotnym rozwinięciem jest 30h ćwiczeń realizowanych w trybie stacjonarnym, czyli podczas naszych wspólnych zajęć. Celem materiału teoretycznego jest przybliżenie Wam tzw. WHY?, czyli przyczyn, dla których wiedza, którą będziemy Wam przekazywać i umiejętności, które zdobywać będziecie podczas ćwiczeń stanowią wartość dla przedsiębiorstw i jej...

• Physics Research Method IV

  e-Learning Courses

  • J. Guthmuller

  {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}

• Data analysis and presentation

  e-Learning Courses

  • M. Życzkowski

• Water Resources Management - Winter Semester 2021-2022

  e-Learning Courses

  • T. Kolerski
  • A. M. Mustafa

  Water Resources Management as defined for purpose of this course includes both water use and water excess management. The fundamental water resources engineering processes are the hydrologic processes and the hydraulic processes. The common threads that relate to the explanation of these processes are the fundamentals of fluid mechanics. The hydrologic processes include rainfall, evaporation, infiltration, rainfall-runoff and routing,...

• Database management systems - lecture 2024/2025

  e-Learning Courses

  • G. Gołaszewski
  • A. Landowska

  Kurs dedykowany do wykładów prowadzonych wspólnie dla przedmiotu Zarządzanie Systemami Baz Danych na kierunku Informatyka oraz Database management systems na kierunku inżynieria danych.

• Essentials of computer science for Bachelor in Management students

  e-Learning Courses

  • J. Durkiewicz

  Various resources accompanying "Essentials of computer science" classes for Bachelor in Management 1st year students.

• Qualitative methods for market research

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• [EiF] Empirical research in Economics

  e-Learning Courses

  • A. Parteka
  • J. Wolszczak-Derlacz

  {mlang pl} Dyscyplina: EiF Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  A. Parteka / J. Wolszczak - Derlacz,  F. Venturini Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF Obligatory course for 1st-year PhD students Academic teacher:  A. Parteka / J. Wolszczak - Derlacz,  F. Venturini Total hours of training: 30 teaching hours Course type: Laboratories  {mlang}    

• [ZiJ] Management theories I

  e-Learning Courses

  • A. Parteka

  {mlang pl} Dyscyplina:  Nauki o Zarządzaniu i Jakości Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:   prof. dr hab. Wojciech Czakon Liczba godzin: 15 h Forma zajęć: wykład {mlang} {mlang en} Discipline: Management and Quality Obligatory course for 1st and 2nd year PhD students Academic teacher:  prof. dr hab. Wojciech Czakon Total hours of training: 15 teaching hours Course type: lecture {mlang}

• Badania operacyjne, Programowanie liniowe(Operations Research, Linear Programming) 2024 - summer

  e-Learning Courses

  • P. Obszarski
  • K. Giaro
  • K. Pastuszak

  Materiały do przedmiotów:  - Badania operacyjne (1/3), kier: informatyka mgr stac. rok. 1. sem. 1. - Operational research (1/3), kier: informatyka mgr stac. (ang) rok. 1. sem. 1.

• MANAGEMENT AND ENVIRONMENT MONITORING 2021/22 - summer

  e-Learning Courses

  • M. Kasprzyk
  • M. Gajewska

  The course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...

• MANAGEMENT AND ENVIRONMENT MONITORING 2022/23 - summer

  e-Learning Courses

  • M. Kasprzyk
  • M. Gajewska

  The course is dedicated to students at 3 semester of Environmental Engineering. The subject is related to two issues. First is monitoring of the environment- different component of the environment like water, air, soil. Conditions necessary for reliable monitoring and analysis of the results of this monitoring are also discussed. Second is management and covers: Historical development of environmental strategies for protection...