Search results for: DATA-DRIVEN APPROACH - Bridge of Knowledge

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Search results for: DATA-DRIVEN APPROACH

Search results for: DATA-DRIVEN APPROACH

  • 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...

  • Advanced Mechanics of Marine Structures I, MSc, Summer 2022-2023, [L,T], PG_00051723

    e-Learning Courses
    • B. Rozmarynowski

    1.  Literature overview,  definition of marine and offshore structures, ocean engineering technologies and mechanical aspects, structural systems applied, jack-up drilling platforms and structural elements. 2. Tensor algebra fundamentals,  stress and small strain states of a solid, constitutive relations. 3. SDOF and MDOF dynamic systems, damping and added masses in offshore vibrations,  generalised eigenvalue problem, forced vibrations...

  • Materials Science -- Classical Particle Approach (2022)

    e-Learning Courses
    • J. Dziedzic

    This is the course webpage for Materials Science -- Classical Particle Approach.

  • 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.

  • 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. 

  • Materials science. Quantum particle approach. 2022.

    e-Learning Courses
    • M. Bobrowski

    quantum methods for materials and molecular modeling.

  • Material Science Quantum Particle Approach 2021

    e-Learning Courses
    • M. Bobrowski

    quantum methods for materials and molecular modeling.

  • Materials science. Quantum particle approach. 2023.

    e-Learning Courses
    • M. Bobrowski

    Quantum ideas applied for particle systems and for chemical reactions.

  • 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

  • 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

  • Data Mining (for Data Engineering) - Nowy

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

  • Materials Science - classical particle approach 2023/2024

    e-Learning Courses
    • S. Winczewski
    • F. Oseko

    Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

  • 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.

  • 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:...

  • 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.

  • 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

  • Spatial data processing technologies

    e-Learning Courses
    • M. Kulawiak
    • Z. Łubniewski
    • E. Lubecka

  • Business Data Analytics-2022

    e-Learning Courses
    • N. Rizun

  • Operating systems (Data Engineering)

    e-Learning Courses
    • P. Weichbroth
    • K. Łukasiewicz
    • M. Wróbel

  • DATA MINING NSTAC 2022

    e-Learning Courses
    • N. Rizun

    NSTAC

  • Inżynieria Danych Data Science

    e-Learning Courses
    • P. Jasik

  • Numerical Methods - Data Engineering

    e-Learning Courses
    • R. Lech
    • P. Kurgan
    • G. Fotyga

    studia inżynierskie, informatyka i inżynieria danych

  • Data Mining 2023/24

    e-Learning Courses
    • P. Weichbroth
    • A. Karpus
    • W. Waloszek

  • Visualization of Economic Data - 2022

    e-Learning Courses
    • O. Aydin

  • Computer controlled systems - 2022/2023

    e-Learning Courses
    • P. Raczyński

    materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

  • CCS-lecture-2023-2024

    e-Learning Courses
    • P. Raczyński

    materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution optimization...

  • Inter Applied Chemistry Programme 6 A practical approach to novel industrial enzymes Dr Natasha Bozic

    e-Learning Courses
    • A. Głowacz-Różyńska
    • M. Tobiszewski
    • C. Jungnickel
    • P. Filipkowski

    Inter Applied Chemistry Programme 6 - A practical approach to novel industrial enzymes Dr Natasha Bozic The purpose of the course is to introduce students to the technologies of industrial enzymes discovery and manufacturing and to provide in depth insight about the advantages of using enzyme preparations in industry. Lectures will cover the common workflows of industrial enzymology including following topics: general enzyme...

  • DATA MINING STAC 2022/2023

    e-Learning Courses
    • N. Rizun

    STAC

  • Advanced Data Mining 2022/23

    e-Learning Courses
    • P. Weichbroth
    • A. Kołakowska
    • G. Gołaszewski
    • K. Flisikowski
    • A. Karpus
    • K. Goczyła

  • Numerical Methods - Data Engineering - 2023

    e-Learning Courses
    • G. Fotyga

    studia inżynierskie, informatyka i inżynieria danych