Search results for: Rigorous Numerical Methods

• [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}

• [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}

• 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...

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

  e-Learning Courses

  • M. Sokół
  • J. Mytnik

• Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_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...

• [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...

• Numerical Modelling in flow systems design , W/L ,Energetyka. sem 6, lato 22/23 PG_00042087

  e-Learning Courses

• [AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation 2024/2025

  e-Learning Courses

  • T. E. Berezowski

  {mlang pl} Dyscyplina: AEiE, ITiT Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  Tomasz Berezowski Liczba godzin: 30 Forma zajęć: wykład/projekt/seminarium {mlang} {mlang en} Discipline: AEiE, ITiT Obligatory course for 2nd-year PhD students Academic teacher: Tomasz Berezowski Total hours of training: 30 teaching hours Course type: Lecture/project/seminar {mlang}      

• Mathematical and numerical modelling, P, IDE+EMSS, sem. 01, letni 23/24, stacjonarne, II stopień, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Opanowanie wiedzy i umiejętności dotyczących tworzenia oraz rozwiązywania modeli obliczeniowych wybranych układów mechanicznych.  

• 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

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

  e-Learning Courses

  • W. Wojnicz

  The aim of this subject is to acquire knowledge to implement engineering problem in Matlab code  

• 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

• Geotechnics

  e-Learning Courses

  • L. Bałachowski

  The course is divided into two parts. The first is related to in-situ tests and their applications for the design of shallow and deep foundations. The second part is related to models of soil behavior and numerical analysis in geotechnical engineering.

• Geotechnics 2023/2024

  e-Learning Courses

  • L. Bałachowski
  • M. Cudny
  • J. Konkol

  The course is divided into two parts: 1) Interpretation of in-situ tests and their application to foundation design 2) Soil models, interpretation of laboratory tests and their application to numerical analysis in geotechnics

• 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.

• 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.

• Process Diagnostics - summer semester 2023/2024

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Familiarization with modern methods of industrial process diagnostics

• 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

• Strength of Materials I,Lectures,DAPE,fall 24-25(PG_00055150)

  e-Learning Courses

  • W. Wojnicz

  The aim of the subject is to present the fundamentals of strength of materials and methods used to conduct strength of materials calculations

• 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.

• Mechanics II, W/C, ZiIP, sem. 03, zima 24/25 (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.

• 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.

• Construction Management, WILIS, Civil Engineering, sem. I, 2022/2023

  e-Learning Courses

  • M. Apollo
  • M. Pawelska-Mazur

  Techniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.

• Construction Management, WILIS, Civil Engineering, sem. I, 2024/2025

  e-Learning Courses

  • M. E. Apollo
  • M. Pawelska-Mazur

  Techniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.

• Construction Management, WILIS, Civil Engineering, sem. I, 2023/2024

  e-Learning Courses

  • M. E. Apollo
  • M. Pawelska-Mazur

  Techniques and methods of organization and planning in construction projects - review. Analysis of construction schedule. Ms Project as a construction planning tool.

• Analiza danych typu Big Data 2024/25

  e-Learning Courses

  • P. Weichbroth
  • W. Waloszek

  The aim of the course is to familiarize students with the methods of acquiring, storing, and analyzing big data. Practical tools for these tasks are presented.

• Measurements and Measurement Systems [2021/22]

  e-Learning Courses

  • A. Golijanek-Jędrzejczyk
  • A. Dzwonkowski
  • M. Śliwiński
  • M. Wołoszyn

  The aim of the course is to introduce theoretical and practical students with basic and advanced methods of measurement of various measured quantity and the design and function of the measurement systems.

• Mechanics of materials (PG_00057378), W/Ć, BM, II stop., sem1,3, lato, 2023/24

  e-Learning Courses

  • B. Rozmarynowski
  • P. M. Bielski

  The aim of this course is providing knowledge in the field of analysis and solving problems of mechanics and strength of one-dimensional systems (bars, beams, frames) and selected two-dimensional systems (shields, plates); preparing the student to solve problems involving complex cases of material strength; developing the ability to assess the stability of structural elements (forms of stability loss, critical forces); consolidation...

• 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:...