Wyniki wyszukiwania dla: DIRECT SAMPLE ANALYSIS

• STRENGTH of MATERIALS TOWARDS APPLICATIONS (2024)

  Kursy Online

  • M. K. Gerigk

  The SMTA DATE Course consists of the following problems to be discussed during the lectures: - Introduction to strength of materials towards applications - Fundamentals of modelling in strength of materials towards applications - Materials and basic structures - Fundamentals of modelling in strength of materials towards applications - Definition of environment and loads - General, energy-based and advanced methods for analysis...

• Sample ecourse

  Kursy Online

  • M. Budzyński
  • A. Guzik

• 2022-2023 - Strenght of materials towards applications, PG_00053661

  Kursy Online

  • M. K. Gerigk

  The course is mainly dedicated to the DAPE Students.  From the theoretical point of view the course consists of the following problems to be discussed during the lectures and exercises: -fundamentals of strength of materials -basic structures and environment -loads on structures -strength of materials: tension, stress, analysis of stress and strain, bending moments and shearing forces, longitudinal and shearing stress in beams,...

• Strenght of materials towards applications , PG_00053661

  Kursy Online

  • M. K. Gerigk

  The course is dedicated to the DAPE WIMiO Students.  From the theoretical point of view the course consists of the following problems to be discussed during the lectures: -fundamentals of strength of materials -basic structures and environment -loads on structures -strength of materials: tension, stress, analysis of stress and strain, bending moments and shearing forces, longitudinal and shearing stress in beams, bending stress...

• Statistics 2022_23

  Kursy Online

  • S. M. Kot

  1.Elements of probability. The axioms of the probability theory 2. Random  variables and their distributions. Discrete and continuous random variables 3. Parameters of random variables: expected value, moments 4. Selected distributions of random variables (Bernoulli, Poison, Gaussian) 5.The distribution in the sample. Visualisation by histograms 6. Measures of statistical location: arithmetic mean, median, quantiles. 7. Measures...

• Financial Analysis exercises - New

  Kursy Online

  • P. Figura

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Financial Analysis exercises - New (copy)

  Kursy Online

  • K. Kubiszewska

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Decisions Analysis 2023/2024

  Kursy Online

  • N. Rizun

  This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

• Qualitative data analysis methods

  Kursy Online

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• Decisions Analysis STAC 22/23

  Kursy Online

  • G. Musiatowicz-Podbiał

  This is content to the subject: "Decisions Analysis" 22/23

• Data Analysis 2023/24

  Kursy Online

  • K. Flisikowski

  Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

• Macroeconomic analysis

  Kursy Online

  • M. Olczyk

• Market analysis

  Kursy Online

  • A. Kozłowska

  Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

• Financial Analysis

  Kursy Online

  • K. Kubiszewska

• Decision analysis

  Kursy Online

  • B. Woliński

• Decision analysis (l/lab) winter 2020/21

  Kursy Online

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• Deep neural networks for data analysis

  Kursy Online

  • K. Draszawka

  The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

• METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

  Kursy Online

  • P. Paradowski

  METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

• Selected aspects of modern X-ray structural analysis 2024

  Kursy Online

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Selected Aspects of Modern X-ray Structural Analysis 2023

  Kursy Online

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Fundamentals of microscopic analysis

  Kursy Online

  • A. Zieliński

• Analiza decyzyjna/Decision analysis

  Kursy Online

  • B. Woliński

• Market Analysis 2022/23

  Kursy Online

  • A. Kozłowska

• Financial Analysis (lectures, 2022)

  Kursy Online

  • M. Mushafiq
  • K. Kubiszewska

• Financial Analysis (22/23)

  Kursy Online

  • M. Mushafiq
  • K. Kubiszewska

• Market Analysis 2024/25

  Kursy Online

  • N. Przybylska

• Financial Analysis (summer 2024)

  Kursy Online

  • P. Figura
  • K. Kubiszewska

• Decisions Analysis 2024/2025

  Kursy Online

  • N. Rizun
  • J. Durkiewicz

• Market Analysis 2023/24

  Kursy Online

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

• Foundations of Capital Market Analysis

  Kursy Online

  • M. Gnyba

• Foundations of Capital Market Analysis

  Kursy Online

  • M. Gnyba

• 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

• 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

• [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