Search results for: RANDOM ANALYSIS OF STRUCTURES

• Building Structures Projects 2020/21

  e-Learning Courses

  • M. Sztafrowski
  • J. Wojtas

• Complex Steel Structures (2023/24)

  e-Learning Courses

  • A. Perliński
  • N. Korcz-Konkol
  • P. Iwicki

• Analiza decyzyjna/Decision analysis

  e-Learning Courses

  • B. Woliński

• Market Analysis 2022/23

  e-Learning Courses

  • A. Kozłowska

• Financial Analysis (lectures, 2022)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska

• Financial Analysis (22/23)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska

• Market Analysis 2024/25

  e-Learning Courses

  • N. Przybylska

• Financial Analysis (summer 2024)

  e-Learning Courses

  • P. Figura
  • K. Kubiszewska

• Decisions Analysis 2024/2025

  e-Learning Courses

  • N. Rizun
  • J. Durkiewicz

• Market Analysis 2023/24

  e-Learning Courses

  • N. Przybylska
  • E. Gołąb-Andrzejak
  • A. Kozłowska

• Zaawansowane Metody Pomiarowe i Diagnostyczne 2022/2023

  e-Learning Courses

  • Z. Czaja
  • G. Lentka
  • J. Smulko
  • A. Kwiatkowski
  • M. Kowalewski

  {mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...

• Zaawansowane Metody Pomiarowe i Diagnostyczne 2023/2024

  e-Learning Courses

  • Z. Czaja
  • G. Lentka
  • J. Smulko
  • A. Kwiatkowski
  • M. Kowalewski

  {mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...

• Zaawansowane Metody Pomiarowe i Diagnostyczne 2024/2025

  e-Learning Courses

  • Z. Czaja
  • G. Lentka
  • A. Kwiatkowski
  • B. Stawarz-Graczyk
  • M. Kowalewski

  {mlang en} 1. Introduction/Guide for the use of the International System of Units2. Rules and style conventions for expressing values of quantities.3. The role of measurement uncertainty in conformity assessment. 4. Probabilistic model for measurement processes, estimation theory5. Analog-digital conversion methods6. Selected structures of classical analog-digital converters7. New techniques of analog-digital conversion: sigma-delta...

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba

• Algorithms & Data Structures 2022/23

  e-Learning Courses

  • R. Janczewski
  • K. Manuszewski
  • M. Jurkiewicz

• Algorithms & Data Structures 23/24

  e-Learning Courses

  • R. Ostrowski
  • K. Manuszewski
  • A. Jastrzębski
  • M. Jurkiewicz
  • T. Goluch

• Random processes - theory for the practician summer term 2020/2021, computer classes

  e-Learning Courses

  • M. Ciołek
  • M. Niedźwiecki

• Building Structures and Technologies (BSc 2022/2023)

  e-Learning Courses

  • N. Lasowicz
  • T. Falborski

  Wykład przeznaczony dla Studentów Wydziału Architektury (sem. 5 inż.). Tematem wykładów są podstawy projektowania konstrukcji metalowych.

• Business Analysis Winter 2022/23

  e-Learning Courses

  • M. McPhillips

• Business Analysis Winter 2023/24

  e-Learning Courses

  • M. McPhillips

• Data analysis - team project 2024

  e-Learning Courses

  • O. Aydin

• Business Analysis Winter 2024/25

  e-Learning Courses

  • M. McPhillips

• [IMa] Electrical methods of materials and structures characterization

  e-Learning Courses

  • P. Jasiński
  • B. Kamecki
  • M. Gawęda

  {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}

• Building Structures and Technologies for Architects 2024 2025

  e-Learning Courses

  • P. Deniziak

• Foundations of Capital Markets Analysis 2022

  e-Learning Courses

  • M. Gnyba

• E-marketing and trend analysis - 2023

  e-Learning Courses

  • M. Brzozowska-Woś

• Business Process Analysis and Optimization 2022

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  e-Learning Courses

  • M. Grzesiak

• Methods of quantitative analysis (team project)

  e-Learning Courses

  • A. Kordalska

• E-marketing and trend analysis - 2022

  e-Learning Courses

  • M. Brzozowska-Woś

• Business Process Analysis and Optimization 2024

  e-Learning Courses

  • M. Grzesiak

• Bulilding structures and technologies II (BSc 2023/2024)

  e-Learning Courses

  • N. Lasowicz
  • T. Falborski

  Kurs ma na celu zapoznanie studentów 5 semestru Wydziału Architektury z podstawami projektowania elementów konstrukcyjnych.

• Building structures and technologies I / CONSTRUCTION PROJECT II

  e-Learning Courses

  • T. Zybała
  • N. Hassas

  Learning about the technical issues involved in carrying out a construction project / architectural project.

• Building Structures and Technologies (autumn/winter 2023/2024)

  e-Learning Courses

  • T. Falborski

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• [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}

• [ITiT] Technologies of Spatial Data Analysis and Processing

  e-Learning Courses

  • M. Kulawiak
  • E. Lubecka

  {mlang pl} Dyscyplina:  Informatyka Techniczna i Telekomunikacja Zajęcia obowiązkowe dla doktorantów II roku Prowadzący:  dr hab. inż. Marcin Kulawiak Liczba godzin: 30 h Forma zajęć: wykład/seminarium {mlang} {mlang en} Discipline: Technical Informatics and Telecommunications Obligatory course for 2nd year PhD students Academic teacher:  dr hab. inż. Marcin Kulawiak Total hours of training: 30 teaching hours Course...

• Scientific methods of computer data analysis and presentation

  e-Learning Courses

  • T. E. Berezowski

• Qualitative Data Analysis Methods -Summer 22/23

  e-Learning Courses

  • M. McPhillips

• Elective Seminar: Loft - Before and Nowadays - Creative Contest for Architects and Designers

  e-Learning Courses

  • K. Zielińska-Dąbkowska
  • M. Gawdzik
  • A. Zdanowicz

    As part of the elective seminar, students working in groups of 3 people will prepare architectural and lighting concept for an international competition: "LOFT-BEFORE AND NOWADAYS" organized by the Polish Lighting Industry Association), co-organized by Goczołowie Architekci OVO Grąbczewscy Architects and the SOMA Agency, the organizer of the International LIGHT Fair. More information here about the competition here: https://lightfair.pl/green-shoots-competition/ The...

• Volatility modelling and market risk analysis 2024/2025

  e-Learning Courses

  • B. Kochański

• Deep neural networks for data analysis 24/25

  e-Learning Courses

  • J. Cychnerski
  • K. Draszawka

  This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

• Deep neural networks for data analysis 27/28

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 25/26

  e-Learning Courses

  • K. Draszawka

• Deep neural networks for data analysis 26/27

  e-Learning Courses

  • K. Draszawka

• New and Fast Analytical Techniques in Food Quality Analysis

  e-Learning Courses

  • K. Parchem
  • I. Koss-Mikołajczyk
  • A. Sommer
  • P. Filipkowski
  • H. Staroszczyk

• Decision analysis (l/lab)_STACJ._winter 2021/22

  e-Learning Courses

  • B. Woliński

• E-marketing and trend analysis 2024, ID, sem. 6

  e-Learning Courses

  • M. Brzozowska-Woś

• NEW AND FAST ANALYTICAL TECHNIQUES IN FOOD QUALITY ANALYSIS 2024

  e-Learning Courses

  • K. Parchem
  • I. Koss-Mikołajczyk
  • A. Sommer
  • P. Filipkowski
  • H. Staroszczyk
  • A. Kościelak