Search results for: QUANTITATIVE COMPUTERS

• Quantitative research methods

  e-Learning Courses

  • P. Paradowski

  Quantitative research methods - dr P. Paradowski

• METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

  e-Learning Courses

  • P. Paradowski

  METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

• FORECASTING - QUANTITATIVE METHODS

  e-Learning Courses

  • P. Paradowski

• Urządzenia Peryferyjne - 22/23

  e-Learning Courses

  • M. Wróbel
  • T. Chludziński

  UP/PD 2023 {mlang pl}Przedmiot Urządzenia Peryferyjne i jego angielska wersja Peripheral Devices przeznaczony jest dla studentów II stopnia na specjalności Komputerowe Systemy Elektroniczne (Computer Electronic Systems). Tematem przedmiotu są różnorodne zagadnienia dotyczące urządzeń peryferyjnych systemów komputerowych, głównie umożliwiających komunikację człowiek-komputer, oraz ich prototypowanie i podstawowe podzespoły.{mlang} {mlang...

• Urządzenia Peryferyjne 2023/24

  e-Learning Courses

  • M. Wróbel

  UP/PD 2023 {mlang pl}Przedmiot Urządzenia Peryferyjne i jego angielska wersja Peripheral Devices przeznaczony jest dla studentów II stopnia na specjalności Komputerowe Systemy Elektroniczne (Computer Electronic Systems). Tematem przedmiotu są różnorodne zagadnienia dotyczące urządzeń peryferyjnych systemów komputerowych, głównie umożliwiających komunikację człowiek-komputer, oraz ich prototypowanie i podstawowe podzespoły.{mlang} {mlang...

• [ZiJ, EiF] Quantitative research methods

  e-Learning Courses

  • M. Gurczyńska
  • P. Paradowski

  {mlang pl} Dyscyplina: nauki o zarządzaniu i jakości, ekonomia i finanse Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  dr Piotr Paradowski Liczba godzin: 30 Forma zajęć: laboratories Kurs realizowany w zakładce WZiE: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=11366  Na kurs należy zapisać się samodzielnie: https://enauczanie.pg.edu.pl/moodle/enrol/index.php?id=11366  {mlang} {mlang en} Discipline:...

• [EiF, ZiJ] Quantitative research methods

  e-Learning Courses

  • P. Paradowski

  {mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  P. Paradowski, LIS&PG Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: P. Paradowski, LIS&PG Total hours of training: 30 teaching hours Course type: Laboratories {mlang}      

• Methods of quantitative analysis (team project)

  e-Learning Courses

  • A. Kordalska

• Qualitative Research Methods

  e-Learning Courses

  • K. Zięba

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• Qualitative methods for market research

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• Human Computer Interaction

  e-Learning Courses

  • T. Kocejko

• Qualitative methods for market research 2022

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• TRANSFORMATION OF WORLD ECONOMY AFTER THE END OF COLD WAR - Nowy

  e-Learning Courses

  • L. Segreto

  The course focuses the main trends of the world economy in the last 30 years. National and macro-regional, as well as sectorial case studies will be used to offer a clearer understanding of the main global dynamics. The approach is multidisciplinary and mainly qualitative, including economic and business history, international political economy, economic sociology and political science.

• TRANSFORMATION OF WORLD ECONOMY AFTER THE END OF COLD WAR - semester 2022-23

  e-Learning Courses

  • L. Segreto

  The course focuses the main trends of the world economy in the last 30 years. National and macro-regional, as well as sectorial case studies will be used to offer a clearer understanding of the main global dynamics. The approach is multidisciplinary and mainly qualitative, including economic and business history, international political economy, economic sociology and political science.

• Computer aided machine design

  e-Learning Courses

  • J. Czyżewicz

• Computer Networks EN 2022

  e-Learning Courses

  • J. Woźniak
  • J. Grochowski
  • K. Gierłowski

  The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

• Computer Networks-laboratories - 2023

  e-Learning Courses

  • M. Hoeft
  • T. Gierszewski
  • I. Szczypior
  • J. Grochowski
  • J. Rak
  • W. Gumiński
  • K. Jurczenia
  • K. Gierłowski
  • K. Nowicki

  Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

• Computer Networks EN 2023

  e-Learning Courses

  • M. Hoeft
  • J. Woźniak
  • J. Grochowski
  • K. Gierłowski

  The student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.

• Computer Networks laboratories 2024

  e-Learning Courses

  • M. Hoeft
  • T. Gierszewski
  • I. Szczypior
  • J. Grochowski
  • J. Rak
  • W. Gumiński
  • K. Jurczenia
  • K. Gierłowski
  • K. Nowicki

  Acquiring the skills to design, build and configure computer networks. Demonstration of skills to identify and analyze selected protocols and mechanisms of LAN and WAN networks.

• Computer design of materials 202324

  e-Learning Courses

  • M. Augustyniak

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• Przetwarzanie rozproszone

  e-Learning Courses

  • M. Kassjański
  • E. Lubecka

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

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• [ZiJ, EiF] Qualitative research methods 2020-21

  e-Learning Courses

  • R. Jankowski
  • K. Zięba

  {mlang pl} Dyscyplina: nauki o zarządzaniu i jakości; ekonomia i finanse Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  dr hab. inż. Krzysztof Zięba, prof. PG Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: management and quality; economics and finance Obligatory course for 1st-year PhD students Academic teacher: dr hab. inż. Krzysztof Zięba, prof. PG Total hours of training: 30 teaching...

• [EiF, ZiJ] Qualitative research methods 2021-22

  e-Learning Courses

  • K. Zięba

  {mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Zięba Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: K. Zięba Total hours of training: 30 teaching hours Course type: Laboratories {mlang}      

• [EiF, ZiJ] Qualitative research methods 2022-23

  e-Learning Courses

  • K. Zięba

  {mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Zięba Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: K. Zięba Total hours of training: 30 teaching hours Course type: Laboratories {mlang}      

• [EiF, ZiJ] Qualitative research methods 2023-24

  e-Learning Courses

  • K. Zięba

  {mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Zięba Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: K. Zięba Total hours of training: 30 teaching hours Course type: Laboratories {mlang}

• Computer Aided Design - 2022/23

  e-Learning Courses

  • C. Jungnickel

• Computer controlled systems - 2022/2023

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

• Human Computer Interaction 2018/19

  e-Learning Courses

  • T. Kocejko

• Computer Aided Design 23/24

  e-Learning Courses

  • C. Jungnickel

• 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.

• Data Structures (Doctoral Studies)

  e-Learning Courses

  • K. Goczyła

  The course covers basic data structures and computer algorithms used in information tehcnology applications. 

• 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)

• 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.

• Computer Aided Manufacturing Systems, PG_00054486, Summer semester 2021/2022

  e-Learning Courses

  • D. Zieliński
  • M. Deja

  Getting acquainted with the subject of computer-aided manufacturing as well as with the tendencies inmodern manufacturing

• Human-Computer Interaction ID 2022/2023

  e-Learning Courses

  • I. Garnik
  • M. Sikorski
  • M. Ciesielska

• Computer Controlled Systems Lab - 2023/2024

  e-Learning Courses

  • P. Raczyński

  Computer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...

• Computer aided machine design 2022/23

  e-Learning Courses

  • J. Czyżewicz

• Computer Controlled Systems Lab - Nowy - Nowy

  e-Learning Courses

  • P. Raczyński
  • M. Niedźwiecki

  Computer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...

• Human-Computer Interaction ID 2021/2022

  e-Learning Courses

  • I. Garnik
  • M. Sikorski

• Computer Aided Manufacturing Systems (M:320417W0)

  e-Learning Courses

  • M. Deja

• Human-Computer Interaction ID 2023/2024

  e-Learning Courses

  • I. Garnik
  • M. Sikorski
  • M. Ciesielska

• Computer modeling and design of materials 2022/2023

  e-Learning Courses

  • S. Winczewski

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

• Computer Aided Machine Design and Manufacturing (PG_00060425)

  e-Learning Courses

  • M. Deja

• Random processes - theory for the practician, computer classes

  e-Learning Courses

  • M. Ciołek

  Automatyka i Robotyka, semestr 1 studia II stopnia

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Metody interakcji człowiek-komputer

  e-Learning Courses

  • T. Kocejko
  • M. Kaczmarek

• 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.