Search results for: data driven planning - Bridge of Knowledge

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Search results for: data driven planning

Search results for: data driven planning

  • 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...

  • Spatial and Regional Planning Studies

    e-Learning Courses
    • I. Haxhiaj
    • Ł. Pancewicz

    The course objective is to teach the basic, practical skills of planning for the architects. Three aspects of planning will be taught during the course: building control, regulatory planning and operational planning. The students will explore the role of planning in granting the building permissions, how to prepare the planning (zoning) regulations and finally what are urban design tools, which can be used to coordinate the development...

  • Local Planning - Summer 2024

    e-Learning Courses
    • S. Abbasi
    • Ł. Pancewicz

    Local Planning, Spatial Management Course focuses on the practical aspects of the local planning both spatial and communal. Topics such as policy measures and tools used by the local government to guide provision of the local services and planning will be discussed. The course is complementary to 'Comprehensive Planning'. Course is delivered in English.  

  • Urban planning and design issues

    e-Learning Courses
    • P. Lorens

    This course deals with an overview of the contemporary urban planning and design issues

  • Spatial Planning 2022-2023

    e-Learning Courses
    • D. Wróblewska

    Spatial Planning is a course dedicated to students of full-time MSc Studies in Environmental Engineering (semester I). This course is organized online together with the Rotterdam University of Applied Science in Rotterdam.

  • 22/23_winter_ Legislative technique in planning

    e-Learning Courses
    • I. Mironowicz

    The objective of the module is for students to understand the principles of legislative technique and to be able to apply them correctly in the planning documents they draw up.

  • 23/24_winter_ Legislative technique in planning

    e-Learning Courses
    • I. Mironowicz

    The objective of the module is for students to understand the principles of legislative technique and to be able to apply them correctly in the planning documents they draw up.

  • 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.

  • Local Planning

    e-Learning Courses
    • M. Radziszewska
    • M. Arczyńska

    The aim of the course is to present the practical tools for local development. It integrates joint activities of various entities (local government units, private entities, residents) in order to transform a specific space as well as possible ways to procure urban or architectural project and funding.

  • Local Planning

    e-Learning Courses
    • Ł. Pancewicz

  • 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.

  • Spatial and Regional Planning Studies - Pancewicz-Smolnicki

    e-Learning Courses
    • Ł. Pancewicz
    • P. M. Smolnicki

    Spatial and Regional Planning Studies dedicated for master students of the English group are conducted by: dr inż. arch. Łukasz Pancewicz dr inż. arch. Piotr Marek Smolnicki   Due to the late time classes are planned without breaks.

  • 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. 

  • Participatory Planning ENG

    e-Learning Courses
    • Ł. Pancewicz

    The objective of the course is to teach the basic principles of the public participation. This includes basic principles, the techniques and practical aspects of its application.  

  • 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

  • GIS for planning practice

    e-Learning Courses
    • W. M. Mazurkiewicz
    • J. Kabrońska

    Kurs skierowany jest do nauczycieli i nauczycielek akademickich pracujących w obszarze architektury i planowania przestrzennego i obejmuje podstawowe zagadnienia związane ze środowiskiem GIS. Obejmuje treści takie jak: wykorzystanie podstawowych i zaawansowanych narzędzi geoprocessingu, tworzenie kartogramów i kartodiagramów, wykonywanie analiz sieciowych i space syntax, zastosowanie narzędzi do geolokalizacji i georeferencji, tworzenie...

  • 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.

  • 22/23_summer_Module: Urban Planning

    e-Learning Courses
    • Ł. Pancewicz
    • I. Mironowicz

  • Participatory Planning 2023/2024

    e-Learning Courses
    • Ł. Pancewicz
    • M. Arczyńska

    Tutors: Lukasz Pancewicz Monika Arczynska

  • 23/24_summer_Module: Urban Planning

    e-Learning Courses
    • Ł. Pancewicz
    • I. Mironowicz

    Kurs obowiązkowy dla studentów I semestru studiów magisterskich na kierunku Gospodarka przestrzenna, specjalność Urbanism (w języku angielskim).

  • 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.

  • History of urban planning I

    e-Learning Courses
    • R. Ruczyński
    • M. Kostrzewska

    The course is aimed to the Erasmus students in the summer term. During he course students learn the principles and conditions of development of urban settlements in the time periods from ancient times to the 18th century (ancient Greece, Rome, Middle Ages, Renaissance, Baroque and Classicism). The students prepare 3 excercises: Task 1 - Cities of ancient Greece and Rome; Task 2 - Medieval Cities; Task 3 - Cities of Renaissance,...

  • 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:...

  • MSc in Urbanism 21/22: Comprehensive Urban Planning / Introduction to urban development planning

    e-Learning Courses
    • S. Abbasi
    • Ł. Pancewicz
    • J. Martyniuk-Pęczek
    • M. Ahmadi
    • I. Mironowicz
    • K. Krośnicka

  • 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