Search results for: LINEAR BUCKLING ANALYSIS

• Business Process Analysis and Optimization 2024

  e-Learning Courses

  • M. Grzesiak

• Qualitative Data Analysis Methods -Summer 2022

  e-Learning Courses

  • M. McPhillips

• [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

• 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

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

  e-Learning Courses

  • P. Dąbrowski

• [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}      

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

  e-Learning Courses

  • P. Dąbrowski

• [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}      

• 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

• CM - Elementy Algebry Abstakcyjnej

  e-Learning Courses

  • M. Kamer-Plichta
  • M. M. Musielak

  {mlang pl}Kurs wspomagający nauczanie przedmiotu Algebra Liniowa na kierunku Informatyka, WETI oraz przedmiotu Linear Algebra kierunku Inżynieria Danych, WETI.{mlang} {mlang en}The course aimed at students of Informatics and Data Engineering in support of Linear Algebra class.{mlang}

• Technical Mechanics 2 (PG_00049753), I stop, En, [W,C], zima 22/23

  e-Learning Courses

  • B. Rozmarynowski

  Lectures and tutorials devoted to basic issues of Strength of Materials (stress and strain states, the Hook's law, geometrical properties of an area, bending, shearing, torsion, deflection lines  of beams, buckling and yielding criteria).

• 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,...

• Naprowadzaniei pozycjonowanie obiektów oceanotechnicznych

  e-Learning Courses

  • M. Reichel

  wykonanie DP capability analysis

• 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.

• 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.

• PDW: Oświetlenie dzienne w architekturze sem 4 23/24

  e-Learning Courses

  • N. Sokół
  • S. Abbasi

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

• Elective course: Daylight sem 4 and 6 23/24

  e-Learning Courses

  • N. Sokół
  • S. Abbasi

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

• Elective Project II (Erasmus) sem. 6

  e-Learning Courses

  • N. Sokół
  • R. Orlik

  The elective project II class is dedicated to daylight analysis within the built environment.

• Elective Project I ENG sem. MSc (23/24)

  e-Learning Courses

  • N. Sokół
  • R. Orlik

  The elective project I class is dedicated to daylight analysis within the built environment.

• Elective Project II ENG sem. 5 (23/24)

  e-Learning Courses

  • N. Sokół
  • R. Orlik
  • M. Ahmadi

  The elective project II class is dedicated to daylight analysis within the built environment.

• Elective Project II ENG sem. 5 (24/25)

  e-Learning Courses

  • N. Sokół
  • R. Orlik

  The elective project II class is dedicated to daylight analysis within the built environment.

• Elective Project III

  e-Learning Courses

  The elective project II class is dedicated to daylight analysis within the built environment.

• 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.

• Process engineering in circular economy

  e-Learning Courses

  • J. Mąkinia

  Definition and principles of the circular economy (CE). The transition from a linear model to a circular model. Business models for the CE. Circular design and innovation. CE assessment carbon footprint, life cycle assessment. Case studies of the cities implementing the CE concept. CE policy and legislation (EU and Poland). Wastewater treatment plants as an element of the CE. Energy and nutrient recovery technologies in wastewater...

• 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.