Search results for: EFFICIENCY, BUDGET EXPENDITURES, DATA ENVELOPMENT ANALYSIS, DEA, CITIES WITH COUNTY RIGHTS, CITIES WITH COUNTY STATUS

• Eco-design of cities and regions

  e-Learning Courses

  • A. Golędzinowska

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• 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:...

• Projektowanie ekologiczne miast i regionów / Eco-design of cities and regions 2023/24

  e-Learning Courses

  • M. Marciniak
  • M. Rembeza
  • K. Krośnicka

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• [ITiT] Technologies of Spatial Data Analysis and Processing

  e-Learning Courses

  • M. Kulawiak
  • E. Lubecka

  {mlang pl} Dyscyplina:  Informatyka Techniczna i Telekomunikacja Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  dr hab. inż. Marcin Kulawiak Liczba godzin: 30 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Technical Informatics and Telecommunications Obligatory course for 2nd year PhD students Academic teacher:  dr hab. inż. Marcin Kulawiak Total hours of training: 30 teaching hours Course...

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• Financial Analysis exercises - New

  e-Learning Courses

  • P. Figura

  To 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. 

• ENVIRONMENTAL ASPECTS OF HUMAN RIGHTS

  e-Learning Courses

  • A. Zielińska-Jurek
  • A. Małachowska

• 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.

• [AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• Financial Analysis exercises - New (copy)

  e-Learning Courses

  • K. Kubiszewska

  To 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. 

• Decisions Analysis 2023/2024

  e-Learning Courses

  • N. Rizun

  This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

• 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.

• 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.

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

  This is content to the subject: "Decisions Analysis" 22/23

• 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.

• 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.

• Environmental Aspects of Human Rights 22/23

  e-Learning Courses

  • I. Wysocka
  • I. Cichowska-Kopczyńska

• Macroeconomic analysis

  e-Learning Courses

  • M. Olczyk

• Market analysis

  e-Learning Courses

  • A. Kozłowska

  Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

• Financial Analysis

  e-Learning Courses

  • K. Kubiszewska

• Decision analysis

  e-Learning Courses

  • B. Woliński

• 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. 

• 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 Mining (for Data Engineering) - Nowy

  e-Learning Courses

  • T. Zawadzka
  • A. Karpus
  • W. Waloszek
  • K. Goczyła

• Decision analysis (l/lab) winter 2020/21

  e-Learning Courses

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• 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.

• METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

  e-Learning Courses

  • P. Paradowski

  METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

• 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.

• Selected aspects of modern X-ray structural analysis 2024

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Selected Aspects of Modern X-ray Structural Analysis 2023

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• 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 decyzyjna/Decision analysis

  e-Learning Courses

  • B. Woliński