Wyniki wyszukiwania dla: NON-LINEAR ANALYSIS

• Zarządzanie organizacjami non profit r. ak. 22/23 lato

  Kursy Online

  • A. Sekuła

• Business Analysis Winter 2022/23

  Kursy Online

  • M. McPhillips

• Business Analysis Winter 2023/24

  Kursy Online

  • M. McPhillips

• Data analysis - team project 2024

  Kursy Online

  • O. Aydin

• Business Analysis Winter 2024/25

  Kursy Online

  • M. McPhillips

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

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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.

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

  Kursy Online

  • 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

  Kursy Online

  • M. Gnyba

• E-marketing and trend analysis - 2023

  Kursy Online

  • M. Brzozowska-Woś

• Business Process Analysis and Optimization 2022

  Kursy Online

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  Kursy Online

  • M. Grzesiak

• Methods of quantitative analysis (team project)

  Kursy Online

  • A. Kordalska

• E-marketing and trend analysis - 2022

  Kursy Online

  • M. Brzozowska-Woś

• Business Process Analysis and Optimization 2024

  Kursy Online

  • M. Grzesiak

• Qualitative Data Analysis Methods -Summer 2022

  Kursy Online

  • M. McPhillips

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

  Kursy Online

  • A. Sekuła

• [ITiT] Technologies of Spatial Data Analysis and Processing

  Kursy Online

  • 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

  Kursy Online

  • T. E. Berezowski

• Qualitative Data Analysis Methods -Summer 22/23

  Kursy Online

  • M. McPhillips

• Volatility modelling and market risk analysis 2024/2025

  Kursy Online

  • B. Kochański

• Deep neural networks for data analysis 24/25

  Kursy Online

  • 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

  Kursy Online

  • K. Draszawka

• Deep neural networks for data analysis 25/26

  Kursy Online

  • K. Draszawka

• Deep neural networks for data analysis 26/27

  Kursy Online

  • K. Draszawka

• New and Fast Analytical Techniques in Food Quality Analysis

  Kursy Online

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

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

  Kursy Online

  • B. Woliński

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

  Kursy Online

  • M. Brzozowska-Woś

• NEW AND FAST ANALYTICAL TECHNIQUES IN FOOD QUALITY ANALYSIS 2024

  Kursy Online

  • 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)

  Kursy Online

  • P. Dąbrowski

• [AEiE, ITiT] Scientific methods of computer data analysis and presentation - 2022/2023

  Kursy Online

  • 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)

  Kursy Online

  • P. Dąbrowski

• [AEEiTK, ITiT] Scientific methods of computer data analysis and presentation - 2023/2024

  Kursy Online

  • 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

  Kursy Online

  • 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)

  Kursy Online

  • P. Dąbrowski

• Planning of experiments and error analysis, W, IDE, sem.01, letni 22/23 (PG_00057374)

  Kursy Online

  • P. Dąbrowski

• Planning of experiments and error analysis, W/C, IDE, sem. 1, letni, 2023/24

  Kursy Online

  • D. Mikielewicz
  • M. Pysz

• CM - Elementy Algebry Abstakcyjnej

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  • M. Reichel

  wykonanie DP capability analysis

• Wielodostępowe Struktury Danych (2324)

  Kursy Online

  • 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

  Kursy Online

  • 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

  Kursy Online

  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

  Kursy Online

  • 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

  Kursy Online

  • J. Konorski

  Components, characteristics, classification, analysis, and applications of queuing systems.