Wyniki wyszukiwania dla: DATA PROCESSING ALGORITHMS

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

  Kursy Online

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

• D. Zalewska 3 Data Engineering , 3s, C1 24/25z

  Kursy Online

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

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

  Kursy Online

  • N. Rizun

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

  Kursy Online

  • A. Brękiewicz-Sieg

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

  Kursy Online

  • 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

  Kursy Online

  • 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 2024/2025

  Kursy Online

  • 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

  Kursy Online

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

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

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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 - 2024/2025

  Kursy Online

  • A. M. Trzaskowska

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

  Kursy Online

  • A. M. Trzaskowska

• Zaawansowane Przetwarzanie Sygnałów - angielski - Nowy

  Kursy Online

  • A. Szewczyk
  • J. Smulko

  Lecture presents development of advanced signal processing techniques. Seminar, after the lectures, considers selected issues/subjects of signal processing techniques presented by individual students.

• Environmental Protection in Energetics, PG_00049751, W, PE-ET, sem.1, winter 2023/24

  Kursy Online

  Environmental aspects of energy production and processing.

• Environmental Protection in Energetics (PG_00049751), W, PE-ET, sem.1, winter 2023/24

  Kursy Online

  • R. Liberacki

  Environmental aspects of energy production and processing.

• Environmental Protection in Energetics (PG_00049751), W, ET, sem.1, winter 2024/2025

  Kursy Online

  • R. Liberacki

  Environmental aspects of energy production and processing.

• Team Strategies - sem. 2022/23

  Kursy Online

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2023/24

  Kursy Online

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2024/25

  Kursy Online

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Przetwarzanie rozproszone

  Kursy Online

  • M. Kassjański
  • E. Lubecka

  Foundations and rules of distributed and parallel processing in networked computer systems.

• Intelligent information services 23/24

  Kursy Online

  • J. Szymański

  Information retrieval Text categorization Natural language processing

• Przetwarzanie Rozproszone 2021/2022

  Kursy Online

  • J. Cychnerski
  • P. Weichbroth
  • A. Domagalska
  • M. Matuszek
  • P. Dryja
  • T. Gajger
  • A. Brzeski
  • J. Kuchta
  • A. Królicka-Gałązka
  • T. Cejrowski
  • S. Olewniczak

  {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

• Przetwarzanie Rozproszone 2022/2023

  Kursy Online

  • J. Cychnerski
  • A. Domagalska
  • M. Matuszek
  • J. Kuchta
  • J. Szłapczyńska
  • A. Królicka-Gałązka

  {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

• Przetwarzanie Rozproszone 2023/2024

  Kursy Online

  • J. Cychnerski
  • A. Domagalska
  • M. Matuszek
  • J. Kuchta
  • J. Szłapczyńska
  • A. Królicka-Gałązka
  • J. Majkutewicz
  • R. Kałaska

  {mlang pl}Przetwarzanie równoległe i rozproszone{mlang}{mlang en}Concurrent and Distributed Processing{mlang}

• Algorytmy Optymalizacji Dyskretnej - ed. 2021/2022

  Kursy Online

  • K. Pastuszak

  In real-world applications, many important practical problems are NP-hard, therefore it is expedient to consider not only the optimal solutions of NP-hard optimization problems, but also the solutions which are “close” to them (near-optimal solutions). So, we can try to design an approximation algorithm that efficiently produces a near-optimal solution for the NP-hard problem. In many cases we can even design approximation algorithms...

• Monte Carlo Methods

  Kursy Online

  • J. Franz

  This course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.

• Monte Carlo Methods - 2023/24

  Kursy Online

  • J. Franz

  This course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.

• Monte Carlo Methods - 2024/25

  Kursy Online

  • J. Franz

  This course will introduce the foundations of Monte Carlo simulation methods. Fundamental algorithms will be described. It will be shown how Monte Carlo methods can be used to simulate the transport of energetic particles in condensed matter.

• Deep Learning Basics 2023/24

  Kursy Online

  • K. Draszawka

  A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

• Descriptive & mathematical statistics 2019

  Kursy Online

  • B. Kochański

  Descriptive Statistics for Data Engineering 2019

• Applications of Geographic Information Systems

  Kursy Online

  • M. Kulawiak
  • M. Kulawiak

  First degree studies Data Engineering

• Advanced Nonrelational Databases DE 2022/2023

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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 24/25

  Kursy Online

  • M. M. Popowska
  • M. Mustafayev

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

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

  Kursy Online

  • M. 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

  Kursy Online

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

• Software Engineering 2024/2025

  Kursy Online

  • A. Jarzębowicz

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

• Software Engineering 2023/2024

  Kursy Online

  • A. Jarzębowicz

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

• Technical Physics 2024/25

  Kursy Online

  • S. Bielski
  • A. Sbai
  • R. C. Sia

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

• Basics of Physics_21/22

  Kursy Online

  • S. Bielski

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

• Basics of Physics_22/23

  Kursy Online

  • S. Bielski

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

• Basics of Physics_23/24

  Kursy Online

  • S. Bielski

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

• Głębokie Sieci Neuronowe Do Analizy Danych

  Kursy Online

  • 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

  Kursy Online

  • 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...

• Mathematical Statistics (2022/23)

  Kursy Online

  • K. Flisikowski

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

• Projektowanie układów VLSI

  Kursy Online

  • A. Bekasiewicz
  • A. Pietrenko-Dąbrowska

  The lecture tackles the problem of VLSI circuits design. In particular, emphasis is put on the physical design stage and more in-depth discussion of its sub-components. The lecture also focus on detailed explanation of selected numerical algorithms that are utilized in the course of physical design. Specialization: Microelectronic Systems

• Nonrelational Databases DE 2024_2025

  Kursy Online

  • G. Gołaszewski
  • T. Zawadzka
  • A. Landowska

  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.

• Nonrelational Databases DE 2023_2024

  Kursy Online

  • 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.