Filters
total: 7370
filtered: 140
-
Catalog
- Publications 4329 available results
- Journals 91 available results
- Conferences 77 available results
- People 106 available results
- Inventions 1 available results
- Projects 7 available results
- Laboratories 2 available results
- e-Learning Courses 140 available results
- Events 25 available results
- Open Research Data 2592 available results
Chosen catalog filters
Search results for: DMTA
-
Visualization of Economic Data - 2023/24
e-Learning Courses -
Deep neural networks for data analysis
e-Learning CoursesThe 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 2022/23
e-Learning CoursesThe 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.
-
Analiza danych typu Big Data 2023/24 KOPIA
e-Learning CoursesThe 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.
-
Software Engineering 2022/2023
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
-
Software Engineering 2023/2024
e-Learning CoursesCourse for Data Engineering, semester 3 Access credentials will be provided during the first lab class.
-
Technical physics (Data Engineering)_22/23
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
-
Technical physics (Data Engineering)_23/24
e-Learning CoursesField of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.
-
Repetytorium: POP + WAI + HiH (Data Engineering)
e-Learning Courses -
Qualitative Data Analysis Methods -Summer 2022
e-Learning Courses -
Operating systems (Data Engineering) - 2023/24
e-Learning Courses -
Algorithms & Data Structures 2022/23
e-Learning Courses -
Algorithms & Data Structures 23/24
e-Learning Courses -
[ITiT] Technologies of Spatial Data Analysis and Processing
e-Learning Courses{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 -
Basics of Physics_21/22
e-Learning CoursesField of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.
-
Basics of Physics_22/23
e-Learning CoursesField of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.
-
Basics of Physics_23/24
e-Learning CoursesField of study: Data Engineering; Subject name: Basics of Physics; Webinars, footages, assignments, tests and course materials.
-
Głębokie Sieci Neuronowe Do Analizy Danych
e-Learning Courses{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 CoursesMain 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)
e-Learning CoursesMathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23
-
Qualitative Data Analysis Methods -Summer 22/23
e-Learning Courses -
Data Warehouses - Part-time studies - 2022/2023
e-Learning CoursesThe curse is led for part-time studies, on the first semester of postgraduate studies.
-
WETI (Data Engineering) - Mathematics 2021/22 (M.Musielak)
e-Learning Courses -
WETI (Data Engineering) - Mathematics 2022/23 (M.Musielak)
e-Learning Courses -
WETI (Data Engineering) - Mathematics 2019/20 (M.Musielak)
e-Learning Courses -
Data Warehouses - Part-time studies - 2023/2024
e-Learning CoursesThe curse is led for part-time studies, on the first semester of postgraduate studies.
-
Analiza danych typu Big Data 2023/24
e-Learning Courses -
Nonrelational Databases DE 2024_2025
e-Learning CoursesThis 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
e-Learning CoursesThis 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.
-
Macroeconomic Reports - Nowy
e-Learning CoursesThis 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 CoursesMathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24
-
Nonrelational Databases DE 2022_2023
e-Learning CoursesWithin 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.
-
WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)
e-Learning Courses -
Descriptive Statistics - summer 2022
e-Learning CoursesDescriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22
-
Descriptive Statistics with R
e-Learning CoursesDescriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23
-
Team project I (2020/21)
e-Learning CoursesWithin 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 CoursesDescriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24
-
Multimedia i Interfejsy 2022
e-Learning Courses{mlang pl} Celem kursu jest zapoznanie studentów z: rodzajami danych multimedialnych oraz metodami ich pozyskiwania formatami i standardami danych multimedialnych metodami kompresji danych multimedialnych podstawami przetwarzania danych multimedialnych oraz ich rozpoznawania programowaniem aplikacji multimedialnych, w tym gier wideo rodzajami interfejsów użytkownika w systemach komputerowych metodami opisu oraz zasadami...
-
Multimedia i Interfejsy 2023
e-Learning Courses{mlang pl} Celem kursu jest zapoznanie studentów z: rodzajami danych multimedialnych oraz metodami ich pozyskiwania formatami i standardami danych multimedialnych metodami kompresji danych multimedialnych podstawami przetwarzania danych multimedialnych oraz ich rozpoznawania programowaniem aplikacji multimedialnych, w tym gier wideo rodzajami interfejsów użytkownika w systemach komputerowych metodami opisu oraz zasadami...
-
DATA MINING (Field of study: Economic analytics 1st semester) -2022
e-Learning Courses -
CM - Elementy Algebry Abstakcyjnej
e-Learning Courses{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}
-
WETI - Data Engineering gr.2 - Math 2019/20 (A.Brękiewicz-Sieg)
e-Learning Courses -
Podstawy Programowania 2022/23 (Informatyka & Inżynieria Danych)
e-Learning Courses{mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}
-
Podstawy Programowania 2021/22 (Informatyka)
e-Learning Courses{mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}
-
Podstawy Programowania 2023/24 (Informatyka & Inżynieria Danych)
e-Learning Courses{mlang pl}Kurs jest przeznaczony dla studentów pierwszego semestru kierunków Informatyka oraz Inżynieria Danych na Wydziale Elektroniki, Telekomunikacji i Informatyki.{mlang} {mlang en}This course is for 1st semester students of Data Engineering and Computer Science at Faculty of Electronics, Telecommunications and Informatics.{mlang}
-
[AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023
e-Learning Courses{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{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 -
Kosmiczne zastosowania zaawansowanych technologii informatycznych
e-Learning CoursesNowoczesne technologie wykorzystania systemów dużej mocy obliczeniowej: superkomputerów o architekturze klastrowej na przykładzie środowisk związanych z masowym przetwarzaniem danych (Big Data), obliczeniami w chmurze (Cloud Computing) oraz klasycznym podejściem wymiany wiadomości (MPI: Message Passing Interface) dla przetwarzania wsadowego.