Search results for: BIG DATA APPLICATIONS

• WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)

  e-Learning Courses

  • M. M. Musielak
  • E. Kozłowska-Walania

• DATA MINING (Field of study: Economic analytics 1st semester) -2022

  e-Learning Courses

  • N. Rizun

• WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)

  e-Learning Courses

  • A. Brękiewicz-Sieg

• [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}      

• Benjamin Sempek, WETI+WZIE, Data Engineering, st I, sem2, 22/23l

  e-Learning Courses

  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• W. Zbirohowski-Kościa WZiE i WETI, Data Eng, I st, sem 2, 21/22l

  e-Learning Courses

  • W. Zbirohowski-Kościa
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Witold Zbirohowski-Kościa, ZiE i ETI, Data Engineering, I st, sem 5, 21/22z

  e-Learning Courses

  • W. Zbirohowski-Kościa
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Małgorzata Piechocińska WETI+WZiE Inż. Danych/Data Engineering I st. 2 sem. 22/23 l

  e-Learning Courses

  • J. Nieszczółkowski
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna
  • M. Piechocińska

• Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 2 - Inżynieria Danych / Data Engineering - sem. 7 - 2023/2024

  e-Learning Courses

  • A. M. Trzaskowska

• Seminarium dyplomowe / Projekt dyplomowy inżynierski / Diploma thesis 1 - Inżynieria Danych / Data Engineering - sem. 6 - 2023/2024

  e-Learning Courses

  • A. M. Trzaskowska

• Dielektryki-en WFTIMS

  e-Learning Courses

  • R. J. Barczyński

  Dielectric materials - properties, applications, structure.

• Operational Research - Queuing Systems 2022

  e-Learning Courses

  • J. Konorski

  Components, characteristics, classification, analysis, and applications of queuing systems.

• Fundamentals of Electrotechnics and Electronics II - project China [2023/24]

  e-Learning Courses

  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Operational Research - Queuing Systems 2024

  e-Learning Courses

  • J. Konorski

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

• Operational Research - Queuing Systems 2024

  e-Learning Courses

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

• Operational Research 2024

  e-Learning Courses

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

• Descriptive & mathematical statistics 2019

  e-Learning Courses

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Advanced Nonrelational Databases DE 2022/2023

  e-Learning Courses

  • J. Miler
  • T. Zawadzka
  • W. Waloszek

  The course is addressed to bachelor-students in the field of data engineering in the fifth semester.

• Advanced Nonrelational Databases DE 2023/2024

  e-Learning Courses

  • M. Zawadzki
  • T. Zawadzka
  • W. Waloszek

  The course is addressed to bachelor-students in the field of data engineering in the fifth semester.

• Economics and Organisation of Enterprises - winter term 22/23

  e-Learning Courses

  • M. Popowska

  This course is intended for students of the first semester of Data Engineering (inter-faculty program in English)

• Economics and Organisation of Enterprises - winter term 23/24

  e-Learning Courses

  • M. Popowska
  • M. Mustafayev

  This course is intended for students of the first semester of Data Engineering (inter-faculty program in English)

• Software Engineering 2022/2023

  e-Learning Courses

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• Software Engineering 2023/2024

  e-Learning Courses

  • A. Jarzębowicz

  Course for Data Engineering, semester 3 Access credentials will be provided during the first lab class.

• Geotechnics

  e-Learning Courses

  • L. Bałachowski

  The course is divided into two parts. The first is related to in-situ tests and their applications for the design of shallow and deep foundations. The second part is related to models of soil behavior and numerical analysis in geotechnical engineering.

• Basics of Physics_21/22

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_22/23

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Basics of Physics_23/24

  e-Learning Courses

  • S. Bielski

  Field of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.

• Biznesowe aplikacje wielkoskalowe

  e-Learning Courses

  • K. Cwalina

  Zapoznanie z architekturami biznesowych aplikacji wielkoskalowych i narzędziami do ich wytwarzania. Overview of design patterns, architectures, and tools used for design and development of large-scale enterprise applications.

• Biznesowe aplikacje wielkoskalowe - 2023/2024

  e-Learning Courses

  • K. Cwalina

  Zapoznanie z architekturami biznesowych aplikacji wielkoskalowych i narzędziami do ich wytwarzania. Overview of design patterns, architectures, and tools used for design and development of large-scale enterprise applications.

• Głębokie Sieci Neuronowe Do Analizy Danych

  e-Learning Courses

  • T. M. Boiński
  • K. Draszawka

  {mlang pl}Kurs przeznaczony jest dla studentów kierunku Inżynieria Danych.{mlang} {mlang en}Course for Data Analysis students.{mlang}

• European Economic Development 2023

  e-Learning Courses

  • A. Parteka
  • R. Ślosarski

  Main aim of the subject is to transfer knowledge on theoretical and empirical aspects of economic development in Europe.  Key topics: •concepts of economic development, alternative measures of development •factors of economic growth and development (‘determinants of growth’) •history of economic development in Europe •cross-country and cross-regional comparisons •sources: where to find information and data needed for empirical...

• Virtual team collaboration - Spring'24

  e-Learning Courses

  • J. Dembski
  • B. Wiszniewski

  Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

• Virtual team collaboration - Spring'24

  e-Learning Courses

  Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

• Chemistry and Nanochemistry 2023

  e-Learning Courses

  • M. Prześniak-Welenc
  • M. Bobrowski

  We start from General Chemistry, including: calculus in chemistry, bonds, balancing the chemical reactions, redox reactions, electrochemistry, pH, acids, bases, salts, oxides, organic molecules, and many informations about synthesis, analysis and applications in nanochemistry.

• Mathematical Statistics (2022/23)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23

• Nonrelational Databases DE 2023_2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

• Project application workshops_Inter PhD_electronics, telecommunications and informatics

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

  disciplinary field: ETI / The aim of the course is to provide the necessary information related to the search for sources of funding for scientific research and development work, with particular emphasis on competitions addressed to young researchers. Procedures for writing grant applications will be presented.

• Project application workshops_InterPhDII_civil and environmental engineering

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

  disciplinary field: WILiŚ / The aim of the course is to provide the necessary information related to the search for sources of funding for scientific research and development work, with particular emphasis on competitions addressed to young researchers. Procedures for writing grant applications will be presented.

• Project application workshops_Inter PhDII_chemistry

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

  disciplinary field: chemistry / The aim of the course is to provide the necessary information related to the search for sources of funding for scientific research and development work, with particular emphasis on competitions addressed to young researchers. Procedures for writing grant applications will be presented. 

• Macroeconomic Reports - Nowy

  e-Learning Courses

  • E. Lechman

  This course intends to teach and train students in their analytical skills. Students are supposed to search data and information through international databases and then, using various analytical techniques, prepare a macroeconomic report in selected topic.

• Mathematical Statistics (2023/24)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24

• Nonrelational Databases DE 2022_2023

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  Within this course the four types of non-relational databases (i.e. document, graph, key-value and column-oriented) are discussed. The course is aimed at students of the 5th semester of data engineering.

• Hydraulics and hydrology 2022

  e-Learning Courses

  • T. Kolerski
  • P. Radan
  • A. M. Mustafa

  For the purpose of this course we are interested in the engineering aspect of hydrology, or what might call engineering hydrology. From this point of view we are mainly concerned with quantifying amounts of water at various locations as function of time for surface water applications. Solving engineering problems using hydrologic principles.

• Hydraulics and hydrology

  e-Learning Courses

  • T. Kolerski
  • A. M. Mustafa

  For the purpose of this course we are interested in the engineering aspect of hydrology, or what might call engineering hydrology. From this point of view we are mainly concerned with quantifying amounts of water at various locations as function of time for surface water applications. Solving engineering problems using hydrologic principles.

• Descriptive Statistics - summer 2022

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22

• Descriptive Statistics with R

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23

• Team project I (2020/21)

  e-Learning Courses

  • A. Dąbrowski
  • M. Chodnicki

  Within this team project, students will be designing a space mission. Each student will choose a subsystem: mission analysis, propulsion, communication, structure, mechanisms, power, thermal, onboard data handling. Together, by means of concurrent engineering a primary system definition will be completed.

• Descriptive Statistics 2024

  e-Learning Courses

  • K. Flisikowski

  Descriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24

• CM - Elementy Algebry Abstakcyjnej

  e-Learning Courses

  • M. Kamer-Plichta
  • M. M. Musielak

  {mlang pl}Kurs wspomagający nauczanie przedmiotu Algebra Liniowa na kierunku Informatyka, WETI oraz przedmiotu Linear Algebra kierunku Inżynieria Danych, WETI.{mlang} {mlang en}The course aimed at students of Informatics and Data Engineering in support of Linear Algebra class.{mlang}