Search results for: DESCRIPTIVE ANALYSIS METHODS

• [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}      

• [NF] Physical Research Methods III: Scattering Theory

  e-Learning Courses

  • J. Franz

  {mlang pl} Dyscyplina: NF Zajęcia obowiązkowe dla doktorantów II i III roku Prowadzący:  Prof. Simone Taioli Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: NF Obligatory course for 2-nd and 3-rd year PhD students Academic teacher: Prof. Simone Taioli  Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}    

• [EiF, ZiJ] Qualitative research methods 2024-25

  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}

• [IMe] Advanced numerical methods in mechanics 24/25

  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}

• [Soft Skills] Didactic methods in the modern teaching process

  e-Learning Courses

  • J. Mytnik
  • O. Ludyga

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów II roku ProwadzącA:  mgr Olga Ludyga Liczba godzin: 15 Forma zajęć: warsztaty {mlang} {mlang en} Discipline: all disciplines Obligatory course for 1st-year PhD students Academic teacher: mgr Olga Ludyga Total hours of training: 15 teaching hours Course type: workshop {mlang} Soft skills, area II - didactic skills  

• [IMa] Electrical methods of materials and structures characterization 2024

  e-Learning Courses

  • P. Jasiński

  {mlang pl} Dyscyplina: inżynieria materiałowa Zajęcia fakultatywne dla doktorantów I i II roku Prowadzący: prof. dr hab. inż. Piotr Jasiński Liczba godzin: 15 Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: materials engineering Facultative course for 1st and 2nd year PhD students Academic teachers: prof. dr hab. inż. Piotr Jasiński Total hours of training: 15 teaching hours Course type: lecture/seminar {mlang}

• Planning of experiments and error analysis, W, MiBM, letni 21/22 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• Planning of experiments and error analysis, C, MiBM, letni 21/22 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• [Soft Skills] 2022 Didactic methods in the modern teaching process

  e-Learning Courses

  • M. Sokół
  • J. Mytnik

• [Soft Skills] 2 YEAR Didactic methods in the modern teaching process

  e-Learning Courses

  • J. Mytnik

  {mlang pl} Dyscyplina: wszystkie dyscypliny Zajęcia obowiązkowe dla doktorantów 2 roku Prowadząca:  dr hab. Joanna Mytnik, prof. uczelni Liczba godzin: 15 Forma zajęć: warsztaty {mlang} {mlang en} Discipline: all disciplines Obligatory course for 2nd-year PhD students Academic teacher: Joanna Mytnik, Ph.D., ass. prof. Total hours of training: 15 teaching hours Course type: workshop {mlang} Soft skills, area I - didactic...

• Planning of experiments and error analysis, C, IDE, sem.01, letni 22/23 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• Planning of experiments and error analysis, W, IDE, sem.01, letni 22/23 (PG_00057374)

  e-Learning Courses

  • P. Dąbrowski

• Planning of experiments and error analysis, W/C, IDE, sem. 1, letni, 2023/24

  e-Learning Courses

  • D. Mikielewicz
  • M. Pysz

• Methods of Experiment Design, W, E, sem.01, letni 22/23 (PG_00057505)

  e-Learning Courses

  • P. Dąbrowski

• Methods of Experiment Design, W, E, sem.01, letni 21/22 (PG_00057505)

  e-Learning Courses

  • P. Dąbrowski

• Methods of Experiment Design, S, E, sem.01, letni 21/22 (PG_00057505)

  e-Learning Courses

  • P. Dąbrowski

• Methods of Experiment Design, S, E, sem.01, letni 22/23 (PG_00057505)

  e-Learning Courses

  • P. Dąbrowski

• Methods of Experiment Design, W/S, Energetyka, sem. 1, letni, 2023/24

  e-Learning Courses

  • D. Mikielewicz
  • M. Pysz

• Passive Methods in Heat Transport, W/P, DPE, sem.5, zimowy 22/23

  e-Learning Courses

  • P. Szymański

• Passive methods in heat transport, W/P, DPE, sem.05, zima 21/22, (M:320404W0)

  e-Learning Courses

  • D. Mikielewicz
  • P. Szymański

• Passive Methods in Heat Transport, W/P, DaPE, sem.5, zimowy 22/23, (PMiHT, W/P, zima 22/23)

  e-Learning Courses

  • P. Szymański

• Lean Manufacturing, W, Mechatronika, IDE, sem. 03, letni 23/24 (PG_00062997)

  e-Learning Courses

  • J. Kropiwnicki

  Development of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.

• Lean Manufacturing, W, Energetyka, sem. 03, letni 23/24 (PG_00062998)

  e-Learning Courses

  • J. Kropiwnicki

  Development of Production Systems and Lean Management. Strategies in Process Optimisation. Analytical Methods. Lean Principles and Lean Methods. Change Management. Roll-out Strategies for Lean Manufacturing. Total productive Management.

• Effective Project Management, DaPE, sem 1 sem 3, 2022/2023 - Nowy

  e-Learning Courses

  • A. T. Wiśniewska

  The aim of the course is to familiarize students with modern methods of effective project management, to present principles, methods and tools supporting decision-making and control processes with particular emphasis on individualized approach to the specifics of the project and its surroundings.

• Naprowadzaniei pozycjonowanie obiektów oceanotechnicznych

  e-Learning Courses

  • M. Reichel

  wykonanie DP capability analysis

• Materials science. Quantum particle approach. 2022.

  e-Learning Courses

  • M. Bobrowski

  quantum methods for materials and molecular modeling.

• Material Science Quantum Particle Approach 2021

  e-Learning Courses

  • M. Bobrowski

  quantum methods for materials and molecular modeling.

• Introduction to Numerical Simulation

  e-Learning Courses

  • M. Rewieński

  Course description: This interdisciplinary course provides an introduction to computational techniques for the simulation of a broad range of engineering and physical systems.  Concepts and methods discussed are widely illustrated by applications drawn from electrical, mechanical, and chemical engineering. Topics include: mathematical formulations of simulation problems; sparse direct and iterative linear system solution techniques,...

• Process Diagnostics - summer semester 2023/2024

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Familiarization with modern methods of industrial process diagnostics

• Operational Research - Queuing Systems 2022

  e-Learning Courses

  • J. Konorski

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

• Fundamentals of Electrotechnics and Electronics II - project China [EE][2024/25]

  e-Learning Courses

  • P. Musznicki
  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Fundamentals of Electrical Engineering and Electronics 2 [EE][2024/25]

  e-Learning Courses

  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Fundamentals of Electrotechnics and Electronics II - project China [2023/24]

  e-Learning Courses

  • P. Chrzan

  Introduction and analysis of fundamental electronic components, circuits and applications.

• Computational Intelligence - 2023

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence 2022

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski
  • H. Kormański

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2022/23

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - 2023/2024 sem.

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2023/2024

  e-Learning Courses

  Widening the students knowledge about the selected methods of artificial intelligence

• Summer Rural Practice

  e-Learning Courses

  • A. Kurkowska
  • P. Duch-Żebrowska

  Summer practice - rural analysis, works with the map, terrain and people.

• Chemistry and Nanochemistry 2022.

  e-Learning Courses

  • M. Prześniak-Welenc
  • M. Bobrowski

  The course consists of lectures (15 x 2 hours) and laboratories (5 x 3 hours).The goal of this course is to teach general chemistry and adequately apply it to nano-size systems, their synthesis and analysis. An emphasis is laid on an analysis of electronic structure of molecules and prediction of  resulting properties and reasons of consequent behaviour in chemical reactions. The course also encloses laboratory classes, where the...

• 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.

• Operational Research 2024

  e-Learning Courses

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

• Elective Project 4 sem. (Daylight)

  e-Learning Courses

  • N. Sokół
  • R. Orlik

  The elective project is dedicated to daylight analysis within a built environment.

• 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.

• NOVEL ANALYTICAL TECHNIQUES seminars

  e-Learning Courses

  • J. Płotka-Wasylka

  Students will gain theexperience how to presents the knowledge in the range of analysis and monitoring of pullutants.

• Fundamentals of Electrotechnics and Electronics 1 [2022/23]

  e-Learning Courses

  • J. Horiszny

  Basic concepts in electrical engineering, analysis of electric circuits, phenomena occurring in electrical systems.