Search results for: computer science

• Essentials of computer science for Bachelor in Management students

  e-Learning Courses

  • J. Durkiewicz

  Various resources accompanying "Essentials of computer science" classes for Bachelor in Management 1st year students.

• ZTNBD - Zaawansowane technologie nierelacyjnych baz danych 2022-2023

  e-Learning Courses

  • T. Zawadzka
  • W. Waloszek

  The course is addressed to master-degree students in the field of computer science in the second semester.

• Theoretical Principles of Nanotechnology 2022/2023

  e-Learning Courses

  • J. Dziedzic

  This is the webpage for Theoretical Principles of Nanotechnology  for (Nanostructures and computer simulations in material science)

• Spectroscopy Methods in Nanotechnology - laboratory 2022

  e-Learning Courses

  • W. P. Korzeniewski
  • A. Witkowska

  Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.

• Spectroscopy Methods in Nanotechnology - laboratory 2023

  e-Learning Courses

  • L. Wicikowski
  • A. Witkowska

  Course for 2nd degree Students of Nanotechnology, specialization Nanostructures and computer simulations in materials science, sem. 2.

• Programming of GNSS applications [EMSS]

  e-Learning Courses

  • P. Falkowski-Gilski

  This 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 Courses

  • P. Falkowski-Gilski
  • J. Demkowicz

  This 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 Courses

  • P. Falkowski-Gilski
  • J. Demkowicz

  This 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 Courses

  • P. Falkowski-Gilski

  This 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 Courses

  • P. Falkowski-Gilski
  • J. Demkowicz
  • Z. Łubniewski

  This 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 Courses

  • P. Falkowski-Gilski

  This 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 Courses

  • S. Winczewski

  Introduction to quantum mechanics, kierunek: Nanotechnologia, specjalność: Nanostructures and computer simulations in material science, II stopień, semestr 1

• Satellite remote sensing - EMSS - 2022

  e-Learning Courses

  • T. E. Berezowski
  • Z. Łubniewski

  This 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).

• Satellite remote sensing - EMSS - 2023

  e-Learning Courses

  • T. E. Berezowski
  • Z. Łubniewski

  This 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 Courses

  • T. E. Berezowski
  • Z. Łubniewski

  This 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).

• Non-relational Databases 2022/2023

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  This 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 Courses

  • G. Gołaszewski
  • T. Zawadzka

  This 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

  • K. Draszawka
  • S. Olewniczak
  • J. Szymański

  {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}

• Deep Learning Basics 2023/24

  e-Learning Courses

  • 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.

• Podstawy Programowania 2022/23 (Informatyka & Inżynieria Danych)

  e-Learning Courses

  • R. Ostrowski
  • R. Janczewski
  • K. Manuszewski
  • D. Dereniowski
  • T. Pikies
  • A. Jastrzębski
  • T. Goluch
  • P. Kowalski

  {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

  • R. Ostrowski
  • D. Dereniowski
  • T. Pikies
  • K. Pastuszak
  • M. Kaczmarek
  • T. Goluch

  {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

  • R. Ostrowski
  • R. Janczewski
  • D. Dereniowski
  • T. Pikies
  • A. Jastrzębski
  • M. Małafiejski
  • T. Goluch
  • P. Kowalski

  {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 Courses

  • A. Witkowska

  Course 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.

• Spectroscopy Methods in Nanotechnology 2022

  e-Learning Courses

  • A. Witkowska

  Course 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.

• Materials Science - classical particle approach 2023/2024

  e-Learning Courses

  • S. Winczewski
  • F. Oseko

  Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3