Search results for: mathematical%20methods%20in%20cardiology

• Applications of AI methods in enterprise

  e-Learning Courses

  • R. Drozd
  • K. Flisikowski

• Passive Methods in Heat Transport

  e-Learning Courses

  • P. Szymański

• Physical testing methods of materials

  e-Learning Courses

  • L. Piotrowski
  • M. Chmielewski

• Qualitative methods for market research

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• 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.

• Surrogate methods in system engineering

  e-Learning Courses

  • A. Bekasiewicz

  {mlang pl} Dyscyplina:  Automatyka, Elektronika i Elektrotechnika Zajęcia fakultatywne dla doktorantów II roku Prowadzący:   dr hab. inż. Adrian Bekasiewicz Liczba godzin: 15 h Forma zajęć: wykład {mlang} {mlang en} Discipline: control, electronic and electrical engineering Facultative course for 2nd year PhD students Academic teacher:  dr hab. inż. Adrian Bekasiewicz Total hours of training: 15 teaching hours Course...

• METHODS FOR QUALITY ASSURANCE AND CONTROL

  e-Learning Courses

  • P. Konieczka
  • A. Wasik

• Application of AI Methods in Enterprise

  e-Learning Courses

• Spectroscopy Methods in Nanotechnology 2024

  e-Learning Courses

  • A. Witkowska

• WCh - GT - Mathematics 1 2021/22 (H.Guze) - Nowy

  e-Learning Courses

  • A. M. Dąbrowicz-Tlałka
  • H. Guze
  • B. Wikieł

• WZiE - Management sem2 - Mathematics 2 2021/22 (M.Łapińska)

  e-Learning Courses

  • M. M. Łapińska

• WETI - 2 deg. - Mathematics 0 2019/2020 (H.Guze)

  e-Learning Courses

  • H. Guze

• WETI (ACiR, EiT, Inf) – Mathematics 2023/24 (M.Musielak)

  e-Learning Courses

  • M. M. Musielak

• WZiE - Zarządzanie lic. (j.ang.) - Mathematics 2020/2021 (M.Wata)

  e-Learning Courses

  • M. Wata
  • A. M. Dąbrowicz-Tlałka
  • B. Wikieł

• WETI (Data Engineering) - Mathematics 2023/24 (E.Kozłowska-Walania)

  e-Learning Courses

  • M. M. Musielak
  • E. Kozłowska-Walania

• Mathematical and numerical modelling, L, IDE, sem. 01, summer 21/22,(M:00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling. Optimal control. Modal analysis. High speed milling. Mechatronic design.

• Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Mechanics I, W/C, MiBM, sem. 02, lato 22/23 (PG_00050273)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• Mechanics II, W/C, MiBM, sem. 03, zima 22/23 (PG_00055119)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• Mechanics II, W/C, ZiIP, sem. 03, zima 23/24 (PG_00055119)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• Mechanics I, W/C, ZiIP, sem. 02, lato 23/24 (PG_00050273)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• Analiza danych typu Big Data 2022/23

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

  The 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 Courses

  • W. Waloszek

  The 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.

• 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

• [Soft Skills] Basic didactic methods

  e-Learning Courses

  • A. Klej
  • A. Męczkowska-Christiansen

  {mlang pl} Dyscyplina: soft skills Zajęcia obowiązkowe dla doktorantów I roku,  Prowadzący:  dr hab. Astrid Męczkowska-Christiansen Liczba godzin: 15 Forma zajęć:  {mlang} {mlang en} Discipline: soft skills Obligatory course for 1st-year PhD students Academic teacher: dr hab. Astrid Męczkowska-Christiansen Total hours of training: 15 teaching hours Course type:  {mlang}

• [Soft Skills] Basic didactic methods

  e-Learning Courses

  • A. Klej
  • A. Męczkowska-Christiansen

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:   Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: all disciplines Obligatory course for 1st-year PhD students Academic teacher:  Total hours of training: 15 teaching hours Course type: lecture {mlang} Soft skills Area I - didactic skills

• [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}      

• Numerical Methods - Data Engineering - 2023

  e-Learning Courses

  • G. Fotyga

  studia inżynierskie, informatyka i inżynieria danych

• Numerical Methods - Data Engineering - 2024

  e-Learning Courses

  • G. Fotyga

  Inżynieria danych

• Multiscale Methods Summer School 2023

  e-Learning Courses

  • P. Rakowski
  • I. Kuzborska
  • J. Szostak
  • J. Franz
  • M. Chmielecki
  • J. Borucka
  • M. Franz

  Summer school on Multiscale Methods at Gdańsk University of Technology. 3. - 7. July: 10 hours online10. - 14. July: 10 hours online17. - 21. July: 10 hours online24. - 28. July: 30 hours online or in Gdańsk (you choose) Participation is for free!   More info and registration: https://ftims.pg.edu.pl/en/science-app/summer-schools-2023/multi-scale-methods-summer-school  

• [IMa] Experimental Methods for Materials Characterisation

  e-Learning Courses

  • B. Bochentyn
  • M. Szkodo
  • J. Ryl
  • M. Gazda
  • A. D. Mielewczyk-Gryń

  {mlang pl} Dyscyplina: inżynieria materiałowa Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:   A. Mielewczyk-Gryń, M. Szkodo, B. Bochentyn, J. Ryl Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: materials engineering Obligatory course for 1-st and 2nd-year PhD students Academic teachers: M. Gazda, A. Lisowska-Oleksiak, A. Mielewczyk-Gryń, R. Bogdanowicz, T. Klimczuk, Ł. Piszczyk,...

• Qualitative methods for market research 2022

  e-Learning Courses

  • A. Kozłowska
  • M. Kuc-Czarnecka

• Introduction to advanced numerical methods in engineering

  e-Learning Courses

  • P. Wierzba
  • A. Lamęcki
  • P. Kowalczyk
  • G. Fotyga

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • J. Kropiwnicki
  • A. Żak

  {mlang pl} Dyscyplina: IMe Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Tesch, A. Żak Liczba godzin: 45 Forma zajęć: wykład/laboratorium {mlang} {mlang en} Discipline: IMe Obligatory course for 1st year PhD students Academic teacher: K. Tesch, A. Żak Total hours of training: 45 teaching hours Course type: lecture/Laboratories {mlang}    

• 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.

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • A. Żak

  {mlang pl} Dyscyplina: IMe Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Tesch, A. Żak Liczba godzin: 45 Forma zajęć: wykład/laboratorium {mlang} {mlang en} Discipline: IMe Obligatory course for 1st year PhD students Academic teacher: K. Tesch, A. Żak Total hours of training: 45 teaching hours Course type: lecture/Laboratories {mlang}

• 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.

• Physical testing methods of materials 23

  e-Learning Courses

  • M. Chmielewski

• Methods of quantitative analysis (team project)

  e-Learning Courses

  • A. Kordalska

• 2023_IM 2sem_Qualitative methods for market research

  e-Learning Courses

  • N. Przybylska
  • A. Kozłowska

• Numerical Methods for Partial Differential Equations

  e-Learning Courses

  • M. Rewieński

  Course description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • A. Żak

  {mlang pl} Dyscyplina: IMe Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  K. Tesch, A. Żak Liczba godzin: 45 Forma zajęć: wykład/laboratorium {mlang} {mlang en} Discipline: IMe Obligatory course for 1st year PhD students Academic teacher: K. Tesch, A. Żak Total hours of training: 45 teaching hours Course type: lecture/Laboratories {mlang}    

• Numerical methods in heat and fluid flow

  e-Learning Courses

  • P. Ziółkowski

  Przedmiot odnosi się do bilansu masy pędu i energii w ujęciu 0D i 3D.

• Modelling methods in design (CAD, FEM)

  e-Learning Courses

  • G. Rotta

• Spectroscopy Methods in Nanotechnology - laboratory 2024

  e-Learning Courses

  • L. Wicikowski
  • A. Witkowska

• Advanced methods in biosensing: fundamentals and applications

  e-Learning Courses

  • R. Bogdanowicz
  • J. Ryl

  This course provides instruction in the basic science and engineering conceptsrequired to understand the design and application of biosensors. Different biosensorsystems are explored, ranging from electrochemical devices, through to optical orthermal systems. Instruction is also given in the general principles of sampling andanalysis, statistical presentation and manipulation of data. The primary focus will bethe physics of biomolecule...

• 2022/2023 Methods of structural studies

  e-Learning Courses

  • S. Makowiec
  • T. Olszewska

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • R. Jankowski
  • A. Żak

  {mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....