Search results for: non-linear analysis

• Business Analysis Winter 2024/25

  e-Learning Courses

  • M. McPhillips

• Badania operacyjne, Programowanie liniowe(Operations Reserach Linear Programming) 2023 - summer

  e-Learning Courses

  • P. Obszarski
  • K. Giaro
  • K. Pastuszak

  Materiały do przedmiotów:  - Badania operacyjne (1/3), kier: informatyka mgr stac. rok. 1. sem. 1. - Operational research (1/3), kier: informatyka mgr stac. (ang) rok. 1. sem. 1.

• Badania operacyjne, Programowanie liniowe(Operations Reserach Linear Programming) 2022 - summer

  e-Learning Courses

  • P. Obszarski
  • K. Giaro
  • K. Pastuszak

  Materiały do przedmiotów:  - Badania operacyjne (1/3), kier: informatyka mgr stac. rok. 1. sem. 1. - Operational research (1/3), kier: informatyka mgr stac. (ang) rok. 1. sem. 1.

• Badania operacyjne, Programowanie liniowe(Operations Research, Linear Programming) 2024 - summer

  e-Learning Courses

  • P. Obszarski
  • K. Giaro
  • K. Pastuszak

  Materiały do przedmiotów:  - Badania operacyjne (1/3), kier: informatyka mgr stac. rok. 1. sem. 1. - Operational research (1/3), kier: informatyka mgr stac. (ang) rok. 1. sem. 1.

• 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

• Zarządzanie org. non profit r. ak. 23/24 NSTC s. zimowy

  e-Learning Courses

  • A. Sekuła

• [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}

• 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,...

• 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.

• 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.

• Naprowadzaniei pozycjonowanie obiektów oceanotechnicznych

  e-Learning Courses

  • M. Reichel

  wykonanie DP capability analysis

• 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 

• 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.

• Environmental Protection in Energetics, W, E, sem.01, zimowy 22/23

  e-Learning Courses

  • P. Bzura

  The principle of sustainable development. Non-renewable and renewable energy sources. Environmental aspects of the use of different energy sources. Atmospheric pollution. Methods of reducing the emission of pollutants into the atmosphere. Waste and hazardous waste. Water and Wastewater. Legal aspects of environmental protection.

• 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...