Filters
total: 4538
filtered: 121
-
Catalog
- Publications 3166 available results
- Journals 449 available results
- Conferences 143 available results
- People 286 available results
- Projects 2 available results
- Research Teams 1 available results
- e-Learning Courses 121 available results
- Events 6 available results
- Open Research Data 364 available results
Chosen catalog filters
Search results for: HUMAN–COMPUTER INTERFACES
-
Computer aided maintenance 2022 - W, - IDE II (M:32027W0) - Nowy
e-Learning Courses -
Human Resources Management, MiBM, IDE, II st., sem zima 2022/2023 - Nowy
e-Learning Courses -
Random processes - theory for the practician summer term 2020/2021, computer classes
e-Learning Courses -
[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}
-
Computer Aided Manufacturing Systems (M:320417W0) (PG_00063000) 2023-24 Summer Semester
e-Learning Courses -
Human Resources Management /W/ 2023/24, IDE, II st., sem. II, M:31468W0
e-Learning Courses -
Human Resources Management /W/ 2023/24, IDE, II st., sem. II, M:31468W0
e-Learning Courses -
LAND ART / CZŁOWIEK W NATURZE / NATURA CZŁOWIEKA / LAND ART / MAN IN NATURE / HUMAN NATURE
e-Learning CoursesKomponent modułu przedmiot Kompozycja - koordynator modułu: prof. Krzysztof Wróblewski Prowadzący: dr hab. Janusz Tkaczuk, prof. uczelni mgr Paweł Sasin english version below Kompozycja rzeźbiarska w przestrzeni: zaprojektowanie rzeźbiarskiego układu jednej lub kilku form abstrakcyjnych wynikających z inspiracji sztuką land art’u. Miejscem zbudowania kompozycji jest środowisko naturalne. Punkt wyjścia to określenie wzajemnej...
-
Computer Aided Manufacturing Systems (M:320417W0) Mechatronika sem. 1, 2022/2023 lato
e-Learning Courses -
Computer aided maintenance of the stock of machines - W/L (M:320406W0) DaEP 2023/2024 summer semester
e-Learning Courses -
Computer aided process planning, W/P, MiBM - IDE, 2. st., sem. 02, zimowy 22/23 (PG_00057404)
e-Learning CoursesLecture & labs
-
Computer aided process planning, w/p, MiBM - IDE, 2. st., sem. 02, zimowy 2023/2024 (PG_00057404)
e-Learning CoursesLecture & Project
-
Occupational Health and Safety Ergonomics - L-15/Ć-0/L-0/P-0, FMEST, ENERGY TECHNOLOGIES, I degree, se 01, stationary, (PG_00041987), winter semester 2022/2023
e-Learning CoursesDefinitions of ergonomics, its subject, purpose and application. Description of the human-machine system environment. The concept of sustainable development. Environmental management systems. Human model and its characteristics. Human possibilities and industrial processes. Human work environment - material conditions. Principles of human work environment design. Safety and reliability of the human - machine - environment system....
-
Occupational Health and Safety Ergonomics - L-15/C-0/L-0/P-0, ENERGY TECHNOLOGIES, se 01, (PG_00041987), winter semester, 2024/2025
e-Learning CoursesDefinitions of ergonomics, its subject, purpose and application. Description of the human-machine system environment. The concept of sustainable development. Environmental management systems. Human model and its characteristics. Human possibilities and industrial processes. Human work environment - material conditions. Principles of human work environment design. Safety and reliability of the human - machine - environment system....
-
Occupational Health and Safety Ergonomics - L-15/C-0/L-0/P-0, ENERGY TECHNOLOGIES, se 01, (PG_00041987), winter semester, 2023/2024
e-Learning CoursesDefinitions of ergonomics, its subject, purpose and application. Description of the human-machine system environment. The concept of sustainable development. Environmental management systems. Human model and its characteristics. Human possibilities and industrial processes. Human work environment - material conditions. Principles of human work environment design. Safety and reliability of the human - machine - environment system....
-
Work Safety and Ergonomics - L-15/C-0/L-0/P-0, Design and Production Engineering, WIMiO, undergraduate studies, engineering studies, full-time (stationary) studies, 2021/2022, se04, (M:32013W0), summer semester 2023/2024
e-Learning CoursesWydział Mechaniczny Mechanika i budowa maszyn (w języku angielskim). Kurs: Specjalność: Design and Production Engineering (WM), I stopnia - inżynierskie, stacjonarne, 2018/2019 - zimowy (obecnie sem. 4), Semestr: 2019/2020 - letni. Student explains the concepts of ergonomics. Describes its goals and area of application. Defines the human - machine - environment system. Designs the human working environment taking into account...
-
Biomechanika,Wykład,IM,IMSiB,letni 2023-2024(PG_00048715)
e-Learning CoursesCelem przedmiotu jest uzyskanie wiedzy z biomechaniki ciała człowieka.The aim of this subject is to acquire knowledge about the human body biomechanics.
-
Biomechanika,Wykład,IMM,letni 2023-2024 (PG_00055757)
e-Learning CoursesCelem przedmiotu jest uzyskanie wiedzy z biomechaniki ciała człowieka.The aim of this subject is to acquire knowledge about the human body biomechanics.
-
Przetwarzanie rozproszone
e-Learning CoursesFoundations and rules of distributed and parallel processing in networked computer systems.
-
ZTNBD - Zaawansowane technologie nierelacyjnych baz danych 2022-2023
e-Learning CoursesThe course is addressed to master-degree students in the field of computer science in the second semester.
-
Data Structures (Doctoral Studies)
e-Learning CoursesThe course covers basic data structures and computer algorithms used in information tehcnology applications.
-
Theoretical Principles of Nanotechnology 2022/2023
e-Learning CoursesThis is the webpage for Theoretical Principles of Nanotechnology for (Nanostructures and computer simulations in material science)
-
Spectroscopy Methods in Nanotechnology - laboratory 2022
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.
-
Spectroscopy Methods in Nanotechnology - laboratory 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.
-
Programming of GNSS applications [EMSS]
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].
-
Satellite navigation [EMSS]
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].
-
Satellite navigation [EMSS]
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].
-
Programming of GNSS applications [EMSS]
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].
-
[EMSS] Satellite Navigation 2023/24
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].
-
[EMSS] Programming of GNSS applications 2023/24
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space System [EMSS].
-
Introduction to quantum mechanics 2022/2023
e-Learning CoursesIntroduction to quantum mechanics, kierunek: Nanotechnologia, specjalność: Nanostructures and computer simulations in material science, II stopień, semestr 1
-
Satellite remote sensing - EMSS - 2022
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).
-
Materials Science - classical particle approach 2023/2024
e-Learning CoursesComputer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3
-
Satellite remote sensing - EMSS - 2023
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including HSB specialries Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).
-
[EMSS] Satellite Technologies: Satellite as a System, Satellite Remote Sensing 2023/24
e-Learning CoursesThis course is designed for M.Sc. students of Space and Satellite Technologies, including HSB diploma profiles Computer Science and Aerospace Technologies, within the specialty Engineering and Management of Space Systems (EMSS).
-
Financial Analysis exercises - New (copy)
e-Learning CoursesTo 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.
-
Financial Analysis exercises - New
e-Learning CoursesTo 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.
-
Non-relational Databases 2022/2023
e-Learning CoursesThis course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.
-
Non-relational Databases 2023/2024
e-Learning CoursesThis course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.
-
Non-relational Databases 2024/2025
e-Learning CoursesThis course discusses the three types of non-relational databases (i.e. document, graph, key-value). The course is aimed at students in the 7th semester of computer science.
-
Podstawy uczenia głębokiego 2022
e-Learning Courses{mlang pl}Kurs podstaw uczenia głębokiego przeznaczony dla studentów kierunku Informatyka.{mlang} {mlang en}This is a course about deep learning basics dedicated for Computer Science students.{mlang}
-
Diploma seminar - 2022
e-Learning CoursesCourse "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.
-
Diploma seminar - 2023
e-Learning CoursesCourse "Diploma seminar" is dedicated for students of NT, Nanostructures and Computer Simulations in Material Sciences, MSc program, sem.4.
-
Deep Learning Basics 2023/24
e-Learning CoursesA 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.
-
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}
-
CAD Introduction (2023/24)
e-Learning CoursesThe course aim is to demonstrate the application of Computer Aided Design in preparation of architectural drawings and project presentations. No previous CAD experience is necessary. Using hands-on exercises, students explore how to create project presentations using 2D drawings and 3D models created in AutoDesk AutoCAD and other programs.
-
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}
-
Spectroscopy Methods in Nanotechnology 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2. The aim of the course is to discuss the basic theoretical and practical issues of spectroscopy and presentation of the various types of spectroscopic methods and ways to interpret spectra, with particular attention paid to the possibility of their use in the study of nanostructured systems.