Search results for: analysis of random signals

• Selected aspects of modern X-ray structural analysis 2025 kopia 1

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis. The aim of the lecture is to provide the PhD students, studying at natural sciences departments, an overview of contemporary X-ray structural analysis. The presented subject is exploited in many distant areas of modern technologies, materials science, crystal engineering, organic or inorganic synthesis of new chemicals, drug design, molecular biology, etc. It becomes necessary...

• 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

• 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

• Identyfikacja Zmian w Sygnałach 2023

  e-Learning Courses

  • J. Kozłowski

  Identyfikacja Zmian w Sygnałach - wykład Identification of Changes in Signals - lecture

• Konsultacje/Consulting - IZS/ICS (ACR)

  e-Learning Courses

  • J. Kozłowski

  Pliki dydaktyczne - Identyfikacja Zmian w Sygnałach (Didactic files - Identification of Changes in Signals)

• Advanced Mechanics of Marine Structures I, MSc, Summer 2022-2023, [L,T], PG_00051723

  e-Learning Courses

  • B. Rozmarynowski

  1.  Literature overview,  definition of marine and offshore structures, ocean engineering technologies and mechanical aspects, structural systems applied, jack-up drilling platforms and structural elements. 2. Tensor algebra fundamentals,  stress and small strain states of a solid, constitutive relations. 3. SDOF and MDOF dynamic systems, damping and added masses in offshore vibrations,  generalised eigenvalue problem, forced vibrations...

• 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.