Search results for: META-DATA MANAGEMENT - Bridge of Knowledge

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Search results for: META-DATA MANAGEMENT

Search results for: META-DATA MANAGEMENT

  • Baltic Smart Asset Management - Training Module

    e-Learning Courses
    • A. Rogala
    • P. Rybarczyk

    Baltic Smart Asset Management is an international project co-financed by the funds from Interreg South Baltic Programme 2014-2020. The aim of the project is to develop methods, transnational collaboration processes and knowledge about Smart Asset Management (SAM) for District Heating (DH) sector. The training module will help to spread the professional knowledge on new solutions and applications of SAM methods to promote data-driven...

  • Data Warehouses 2023/2024

    e-Learning Courses
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

  • Data Mining 2022/2023

    e-Learning Courses
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • Data Mining 2021/2022

    e-Learning Courses
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • Qualitative data analysis methods

    e-Learning Courses
    • M. Starnawska

    This is the continuation of Qualitatative Data Analysis Methods course provided online

  • Data Structures (Doctoral Studies)

    e-Learning Courses
    • K. Goczyła

    The course covers basic data structures and computer algorithms used in information tehcnology applications. 

  • Data Mining Path

    e-Learning Courses
    • G. Gołaszewski
    • T. Zawadzka
    • A. Karpus
    • M. Wróbel
    • A. Przybyłek
    • W. Waloszek
    • A. Landowska

    Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

  • Data Warehouses DE 2022/2023

    e-Learning Courses
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

  • Data Warehouses DE 2023/2024

    e-Learning Courses
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

  • Algorithms and Data Structures 2022

    e-Learning Courses
    • R. Ostrowski
    • K. Manuszewski
    • T. Pikies
    • K. Wereszko
    • A. Jastrzębski
    • M. Jurkiewicz
    • T. Goluch

    WETI, DS, Algorithms and Data Structures

  • Data Warehouses 2022/2023

    e-Learning Courses
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Informatics - 5th semester.

  • Technical physics (Data Engineering)

    e-Learning Courses
    • S. Bielski

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

  • ICT in Management 2020

    e-Learning Courses
    • J. Durkiewicz

    ICT in Management for Bachelor in Management students

  • Databases (Data Engineering) - 2022

    e-Learning Courses
    • A. Nabożny
    • G. Gołaszewski
    • M. Wróbel
    • A. Landowska
    • K. Goczyła

    The 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. 

  • Databases (Data Engineering) - 2023

    e-Learning Courses
    • G. Gołaszewski
    • A. Karpus
    • M. Pykała
    • A. Landowska
    • K. Goczyła

    The 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. 

  • 2021 Construction management, PG_00042225

    e-Learning Courses
    • M. Pawelska-Mazur

    The course consists of several topics in the field of construction management: Construction projects, Project management, Risk management, Quality management, Financial Issues and Cash Flow, HR issues and motivation theories, etc.

  • Production Management 2022

    e-Learning Courses
    • M. Muchlado
    • J. Czerska
    • E. Marjańska

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

  • Management and Economics 2022

    e-Learning Courses
    • B. Geniusz-Stepnowska

    Introduction 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

  • Data Quality Assurance 2024

    e-Learning Courses
    • P. Weichbroth

    Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Paweł Weichbroth Wykład: odbywają się zdalnie. Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

  • Management Psychology 2022

    e-Learning Courses
    • P. Ziemiański

    During 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...

  • Data quality assurance - 2023

    e-Learning Courses
    • P. Weichbroth
    • A. Wardziński

    Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Andrzej Wardziński Wykład: od 13 marca, poniedziałki 13:15 sala NE Audytorium 2 Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

  • Data Analysis 2023/24

    e-Learning Courses
    • K. Flisikowski

    Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

  • ICT in Management - Spring 2024

    e-Learning Courses
    • J. Durkiewicz

    ICT in Management course for Bachelor in Management students (Spring 2024 edition)

  • Data Mining (for Data Engineering) - Nowy

    e-Learning Courses
    • T. Zawadzka
    • A. Karpus
    • W. Waloszek
    • K. Goczyła

  • Information systems management - autumn 2023

    e-Learning Courses
    • J. Durkiewicz

    Information Systems in Management for International Management students. Autumn 2023

  • Quality Management 2019 / 2020

    e-Learning Courses
    • P. Grudowski

    St. I stopnia, stacjonarne, Bachelor in Management, sem.5

  • Quality Management 2022/2023

    e-Learning Courses
    • P. Grudowski
    • E. Marjańska

    St. I stopnia, stacjonarne, Bachelor in Management, sem.5

  • Quality Management 23/24

    e-Learning Courses
    • E. Marjańska

    St. I stopnia, stacjonarne, Bachelor in Management, sem.5

  • Quality Management 2020/2021

    e-Learning Courses
    • P. Grudowski
    • E. Marjańska

    St. I stopnia, stacjonarne, Bachelor in Management, sem.5

  • Logistics management 2022_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.

  • 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.

  • 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.

  • 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.

  • Forest management

    e-Learning Courses
    • S. Klisz

    The last ice age ended in Scandinavia about 15 000 years ago. The land was gradually occupied by present tree species. Human settlement followed the vegetation. The first forest uses were hunting and gathering. Animal husbandry and forest grazing came later. Shifting cultivation was a wide spread form of agriculture, especially in Sweden and Finland. Wood was first used for domestic purposes and for construction, In the 18th century,...

  • Production Management - 2020/2021

    e-Learning Courses
    • R. Drozd
    • M. Wirkus
    • J. Czerska

    Supplement material to Production Management Exercises. BIM sem.4

  • 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

  • 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

  • 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.

  • 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:...

  • 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
    • 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 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.

  • HR management - Bachelor in management

    e-Learning Courses
    • Ł. Sienkiewicz