Search results for: RESEARCH PERFORMANCE, RESEARCH ACTIVITIES, PERFORMANCE FACTORS, WEIGHT RESTRICTIONS, BENEFIT OF THE DOUBT, DATA ENVELOPMENT ANALYSIS

• ASSESSMENT of PERFORMANCE of UMV (2024)

  e-Learning Courses

  • M. K. Gerigk

  (W) Assessment of Performance of Unmanned Maritime Vehicles (W-Lecture) - DAPE - WIMiO AP-of-UMV (W) -DAPE - WIMiO   The course entitled "Assessment of Performance of Unmanned Maritime Vehicles (W-Lecture)" is conducted for the DAPE WIMiO Students.   The AP-of-UMV (W) course is to discuss the following problems: - major areas of application of UMV unmanned maritime vehicles, - sea environment, - types of UMV vehicles, -...

• Robotics for human health and performance 03.2022

  e-Learning Courses

  • W. Sieklicki

  This course is to provide knowledge in area of biomechanics, necessary to design instrumentation for human health and performance, and automatics necessary to design simple instrumentation as well as about human-robot interface.

• Robotics for human health and performance (PG_00054982) 04.2024

  e-Learning Courses

  • W. Sieklicki

  During this course students will be provided with the knowledge in areas of robotics and biomechanics necessary to design instrumentation for human health and performance, as well as about human-robot interface.

• Research Methods

  e-Learning Courses

  • K. Zięba

  This course on research methods is intended for 5th semester students of BiM Programme.

• Quantitative research methods

  e-Learning Courses

  • P. Paradowski

  Quantitative research methods - dr P. Paradowski

• Gravity-related research (2020/21)

  e-Learning Courses

  • A. Dąbrowski
  • E. Wittbrodt

  The goal of the subject is to extend of the knowledge gained in the framework of general mechanics (statics, kinematics, dynamics). Students will be familiarized with the description of the kinematics and dynamics of motion in typical gravity-related research conditions (microgravity in parabolic flights, drop towers, sounding rockets) as well as gravity-related research platforms, its opportunities and limitations. Additionally,...

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• Assessment of performance of unmanned maritime vehicles (USV, UUV, AUV) by CFD and MES investigation, PG_00053662

  e-Learning Courses

  • M. K. Gerigk

  The course entitled "Assessment of Performance of Unmanned Maritime Vehicles" consists of the following problems to be discussed during the lectures (W): - major areas of application of UMV unmanned maritime vehicles, - sea environment, - types of UMV vehicles, - parameters, characteristics and features of UMV vehicles, - research, design, construction, implementation and operation of  UMV vehicles, - systems of UMV vehicles...

• 2022-2023 - Assessment of performance of unmanned maritime vehicles (USV, UUV, AUV) by CFD and MES investigation, PG_00053662

  e-Learning Courses

  • M. K. Gerigk

  The course entitled "APofUMV Assessment of Performance of Unmanned Maritime Vehicles (W-lecture) is mainly conducted  for the DAPE Course Students. The lectures (W) are closely connected with the project exercises (P) where some examples for the data designs are conducted. All the AP of UMV lectures are connected with presentation following problems: - major areas of application of UMV unmanned maritime vehicles, - sea environment...

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

  Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

• Operational Research 2024

  e-Learning Courses

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Research project I (February 2024)

  e-Learning Courses

  • M. Gajewska
  • S. Gajewski

  This is the course for English-speaking students of Research project I. Access code: KSiSR2024 If you have some problem with access to the course please sent me e-mail to: slagaj@eti.pg.edu.pl (give me the name and your id number).

• Research grant applications (W)

  e-Learning Courses

  • G. Boczkaj
  • A. Zielińska-Jurek
  • P. Rybarczyk
  • A. Małachowska

  Searching for a grant for yourself. Competitions: of the Ministry of Science and Higher Education (MNiSW), of the National Science Center (NCN)' of the Foundation for Polish Science (FNP), of the National Center for Research and Development (NCBiR), European Commission Grants (ERC). Formulation of the application: analysis of the requirements. Description of project issues: purpose, meaning, work plan, and methodology. Reviewer's...

• Research Grant Applications (SEM)

  e-Learning Courses

  • A. Zielińska-Jurek
  • P. Rybarczyk

  Searching for a grant for yourself. Competitions: of the Ministry of Science and Higher Education (MNiSW), of the National Science Center (NCN)' of the Foundation for Polish Science (FNP), of the National Center for Research and Development (NCBiR), European Commission Grants (ERC). Formulation of the application: analysis of the requirements. Description of project issues: purpose, meaning, work plan, and methodology. Reviewer's...

• Research project

  e-Learning Courses

  • S. Gajewski

• Gravity-related research (Engineering and Management of Space Systems) 21/22

  e-Learning Courses

  • E. Wittbrodt

  The goal of the subject is to extend of the knowledge gained in the framework of general mechanics (statics, kinematics, dynamics). Students will be familiarized with the description of the kinematics and dynamics of motion in typical gravity-related research conditions (microgravity in parabolic flights, drop towers, sounding rockets) as well as gravity-related research platforms, its opportunities and limitations. Additionally,...

• Deep neural networks for data analysis

  e-Learning Courses

  • K. Draszawka

  The 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:...

• Operational Research - Queuing Systems 2022

  e-Learning Courses

  • J. Konorski

  Components, characteristics, classification, analysis, and applications of queuing systems.

• Operational Research - Queuing Systems 2024

  e-Learning Courses

  • J. Konorski

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Operational Research - Queuing Systems 2024

  e-Learning Courses

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Qualitative Research Methods

  e-Learning Courses

  • K. Zięba

• Research Project Management_InterPhDII

  e-Learning Courses

  • R. Downar-Zapolska
  • A. Klej

• Marketing Research IM

  e-Learning Courses

  • D. Dąbrowski
  • A. Tybińkowska

• Scientific Research Method

  e-Learning Courses

  • J. Szczepański

• Empirical research on household economic behaviour and well-being (MK_AGIIA_B16)

  e-Learning Courses

  • P. Paradowski

  Empirical research on household economic behaviour and well-being" - Analityka gospodarcza (studia w jęz. angielskim) (WZiE), II stopnia, stacjonarne, 2020/2021 - zimowy , LAB

• Methodology of scientific research

  e-Learning Courses

  • J. Rybicki

• Methodology of scientific research

  e-Learning Courses

  • J. Rybicki

• Gravity-related research, T, EMSS, sem. 01 summer, 21/22, (PG_00054983)

  e-Learning Courses

  • G. Banaszek

  Presentation of knowledge and research in the field of gravity phenomenon.

• Physics Research Method IV

  e-Learning Courses

  • J. Guthmuller

  {mlang pl} Dyscyplina:  Nauki Fizyczne Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:   prof. Julien Guthmuller Liczba godzin: 15 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Phisical Sciences Obligatory course for 2nd year PhD students Academic teacher:  prof. Julien Guthmuller Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}

• [ZiJ] Empirical research in Management

  e-Learning Courses

  • R. Jankowski
  • W. Kucharska

  Dyscyplina: nauki o zarządzaniu i jakości Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr inż. Wioleta Kucharska Liczba godzin: 30 Forma zajęć: laboratoria Discipline: management and quality Obligatory course for 1st and 2nd-year PhD students Academic teacher: dr inż. Wioleta Kucharska Total hours of training: 30 teaching hours Course type: laboratories

• Qualitative methods for market research

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• [EiF] Empirical research in Economics

  e-Learning Courses

  • A. Parteka
  • J. Wolszczak-Derlacz

  {mlang pl} Dyscyplina: EiF Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  A. Parteka / J. Wolszczak - Derlacz,  F. Venturini Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF Obligatory course for 1st-year PhD students Academic teacher:  A. Parteka / J. Wolszczak - Derlacz,  F. Venturini Total hours of training: 30 teaching hours Course type: Laboratories  {mlang}    

• Badania operacyjne, Programowanie liniowe(Operations Research, Linear Programming) 2024 - summer

  e-Learning Courses

  • P. Obszarski
  • K. Giaro
  • K. Pastuszak

  Materiały do przedmiotów:  - Badania operacyjne (1/3), kier: informatyka mgr stac. rok. 1. sem. 1. - Operational research (1/3), kier: informatyka mgr stac. (ang) rok. 1. sem. 1.

• High Performance Computing Systems Lab / Systemy Obliczeniowe Wysokiej Wydajności - laboratorium

  e-Learning Courses

  • M. Rewieński

  Systemy Obliczeniowe Wysokiej Wydajności (SOWW) - Laboratorium

• Research Methods BiM 2022/23

  e-Learning Courses

  • M. Mcphillips
  • M. Zięba
  • K. Zięba

• Research Methods BiM 2023/24

  e-Learning Courses

  • M. McPhillips
  • K. Zięba
  • M. Licznerska

• Research project II (October 2023)

  e-Learning Courses

  • S. Gajewski

• [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}      

• Research project I (February 2024)

  e-Learning Courses

• Qualitative methods for market research 2022

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• 2023_IM 2sem_Qualitative methods for market research

  e-Learning Courses

  • N. Przybylska
  • A. Kozłowska

• [Soft Skills] Workshop in research ethics

  e-Learning Courses

  • A. Klej
  • A. Karalus

  {mlang pl} Dyscyplina: Wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów III roku Prowadzący:   Liczba godzin: 5 Forma zajęć: warsztaty {mlang} {mlang en} Discipline: All disciplines Obligatory course for 3rd year PhD students Academic teacher:  Total hours of training: 5 teaching hours Course type: workshops {mlang}    

• Systemy obliczeniowe wysokiej wydajności/High performance computing systems / L-22/23

  e-Learning Courses

  • A. Krzywaniak
  • P. Rościszewski
  • M. Matuszek
  • P. Januszewski
  • S. Olewniczak
  • P. Czarnul
  • R. Kałaska

• Systemy obliczeniowe wysokiej wydajności/High performance computing systems / L-23/24

  e-Learning Courses

  • M. Matuszek
  • A. Brzeski
  • P. Czarnul
  • R. Kałaska

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• Marketing Research BiM - summer 2022/2023

  e-Learning Courses

  • D. Dąbrowski
  • N. Przybylska

• Marketing Research ID - summer 2021/2022

  e-Learning Courses

  • D. Dąbrowski
  • N. Przybylska
  • E. Gołąb-Andrzejak

• Marketing Research BiM - summer 2021/2022

  e-Learning Courses

  • D. Dąbrowski
  • N. Przybylska

• Marketing Research ID - summer 2022/2023

  e-Learning Courses

  • D. Dąbrowski