Search results for: NON-LOCAL METHODS

• 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}      

• [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 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}

• [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...

• [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}      

• 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

• Prediploma project KAMiPN, KSW, sem.6, 2023/24

  e-Learning Courses

  • D. Cyparski
  • M. Podwojewska

  The topics of the classes include issues related to the analysis of conditions resulting from the location, the functional and spatial program and the provisions of the Local Development Plan, technical conditions and construction law. The design covers: plot development, form and function of the building (including an underground garage, if the function and provisions of the local development plan), basic construction and installation...

• Nonrelational Databases DE 2024_2025

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka
  • A. Landowska

  This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

• Nonrelational Databases DE 2023_2024

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  This course discusses three types of non-relational databases (i.e., document, graph, and key-value). The course is aimed at students in the 5th semester of data engineering.

• 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.

• Nonrelational Databases DE 2022_2023

  e-Learning Courses

  • G. Gołaszewski
  • T. Zawadzka

  Within this course the four types of non-relational databases (i.e. document, graph, key-value and column-oriented) are discussed. The course is aimed at students of the 5th semester of data engineering.

• Introduction to European Economic Integration - Nowy

  e-Learning Courses

  • J. Wolszczak-Derlacz

  The course is designed for students not familiar with concepts of European Integration, also for non-EU students. By the completion of the course, students will be able to define practical implications of the theory of economic integration.

• 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.

• 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,...

• Wielodostępowe Struktury Danych (2324)

  e-Learning Courses

  • A. Bujnowski
  • T. Kocejko

  Pojęcie danych, modelu danych, bazy danych Modele danych - Płaski , hierarchiczny, sieciowy, relacyjny, obiektowy Podstawy j. SQL na przykładzie PostgreSQL Bazy non SQL 

• Process Diagnostics - summer semester 2023/2024

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Familiarization with modern methods of industrial process diagnostics

• Virtual team collaboration - Spring'24

  e-Learning Courses

  • J. Dembski
  • B. Wiszniewski

  Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

• Virtual team collaboration - Spring'24

  e-Learning Courses

  Objectives of the course include introducing non-algorithmic distributed computation models, indicating new trends in IT driving the development of the information society and demonstrating in practice several applications which represent basic classes of distributed interactive systems.

• 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

• 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.

• Bazy danych w Zastosowaniach

  e-Learning Courses

  • A. Bujnowski
  • K. Zieliński

  Bazy danych - podstawowe pojęcia, modele danych - prosty , hierarchiczny, sieciowy, model relacyjny - podstawy - projektowanie Baz danych, algebra relacyjna, język SQL. Współczesne mechanizmy w bazach danych - transakcje, wyzwalacze, łączenie baz danych z programami. Model obiektowy i obiektowo-relacyjny. Bazy non-SQL

• 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, 2023/2024

  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.

• Podstawy Baz Danych

  e-Learning Courses

  • A. Bujnowski
  • K. Osiński
  • K. Zieliński
  • K. Jańczyk
  • N. Szarwińska

  Bazy danych - pojęcia ogólne, modele danych - prosty, hierarchiczny, sieciowy. Relacyjny model danych - podstawy, projektowanie RBD, algebra relacyjna, język SQL. Transakcje, wyzwalacze w RBD. Łączenie się z RBD z poziomu innych języków i aplikacji. Modele obiektowy i obiektowo relacyjny. Bazy danych non-SQL