Search results for: CLASSICAL SENSORY ANALYSIS

• Materials Science -- Classical Particle Approach (2022)

  e-Learning Courses

  • J. Dziedzic

  This is the course webpage for Materials Science -- Classical Particle Approach.

• TIME SERIES MODELING (PG_00063724)

  e-Learning Courses

  • P. Paradowski

  Effectively uses in-depth knowledge of economic time series analysis methods, applying the results of analyzes to formulate forecasts. Subject contents: 1. Classical time series analysis (trend, cyclical fluctuations) 2. Exponential smoothing models 3. Holt and Winters model 4. Stochastic processes and time series 5. Characteristics of stochastic processes 6. Process spectrum autocorrelation functions 7. Study of the stationarity...

• Statistics 2022_23

  e-Learning Courses

  • 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

  e-Learning Courses

  • 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)

  e-Learning Courses

  • 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

  e-Learning Courses

  • N. Rizun

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

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

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

• Decisions Analysis STAC 22/23

  e-Learning Courses

  • G. Musiatowicz-Podbiał

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

• Materials Science - classical particle approach 2023/2024

  e-Learning Courses

  • S. Winczewski
  • F. Oseko

  Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

• Materials Science - Classical Particle Approach 2024/2025

  e-Learning Courses

  • S. Winczewski
  • F. Oseko

  Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

• Data Analysis 2023/24

  e-Learning Courses

  • K. Flisikowski

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

• Macroeconomic analysis

  e-Learning Courses

  • M. Olczyk

• Market analysis

  e-Learning Courses

  • A. Kozłowska

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

• Financial Analysis

  e-Learning Courses

  • K. Kubiszewska

• Decision analysis

  e-Learning Courses

  • B. Woliński

• Sensory i sieci sensorowe 2019

  e-Learning Courses

  • G. Jasiński
  • P. Jasiński
  • Ł. Woźniak

  I stopień EiT

• Sensory i sieci sensorowe 2020

  e-Learning Courses

  • G. Jasiński
  • P. Jasiński
  • Ł. Woźniak
  • M. Dmitrzak
  • J. Rumiński

  I stopień EiT

• Sensory i przetworniki pomiarowe 2019

  e-Learning Courses

  • P. Kalinowski
  • K. Lankauf

  I stopień, Inżynieria Biomedyczna, 4 semestr

• Sensory i sieci sensorowe 2022

  e-Learning Courses

  • G. Jasiński
  • P. Jasiński
  • K. Osiński
  • M. Dmitrzak

  I stopień EiT

• Sensory i sieci sensorowe 2023

  e-Learning Courses

  • G. Jasiński
  • P. Jasiński
  • K. Osiński
  • P. Kalinowski

  I stopień EiT

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

  e-Learning Courses

  • B. Woliński

  Decision analysis (l/lab)_winter 2020/21

• Deep neural networks for data analysis

  e-Learning Courses

  • 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)

  e-Learning Courses

  • 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

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Selected Aspects of Modern X-ray Structural Analysis 2023

  e-Learning Courses

  • J. Chojnacki

  Selected Aspects of Modern X-ray Structural Analysis

• Fundamentals of microscopic analysis

  e-Learning Courses

  • A. Zieliński

• Data analysis and presentation

  e-Learning Courses

  • M. Życzkowski

• Sensory i przetworniki pomiarowe lato 2022

  e-Learning Courses

  • P. Jasiński
  • P. Kalinowski

  I stopień, Inżynieria Biomedyczna, 4 semestr

• Sensory i przetworniki pomiarowe lato 2023

  e-Learning Courses

  • P. Kalinowski

  I stopień, Inżynieria Biomedyczna, 4 semestr

• Sensory i sieci sensorowe [2023/24]

  e-Learning Courses

  • G. Jasiński
  • P. Jasiński
  • P. Kalinowski
  • M. Haras

  I stopień EiT

• Sensory i przetworniki pomiarowe lato 2024

  e-Learning Courses

  • P. Kalinowski

  I stopień, Inżynieria Biomedyczna, 4 semestr

• Sensory i przetworniki pomiarowe lato 2021

  e-Learning Courses

  • P. Jasiński
  • P. Kalinowski
  • M. Kaczmarek
  • J. Rumiński

  I stopień, Inżynieria Biomedyczna, 4 semestr

• Analiza decyzyjna/Decision analysis

  e-Learning Courses

  • B. Woliński

• Market Analysis 2022/23

  e-Learning Courses

  • A. Kozłowska

• Financial Analysis (lectures, 2022)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska

• Financial Analysis (22/23)

  e-Learning Courses

  • M. Mushafiq
  • K. Kubiszewska

• Market Analysis 2024/25

  e-Learning Courses

  • N. Przybylska

• Financial Analysis (exercises 2025)

  e-Learning Courses

  • P. Figura

• Financial Analysis (summer 2024)

  e-Learning Courses

  • P. Figura
  • K. Kubiszewska

• Decisions Analysis 2024/2025

  e-Learning Courses

  • N. Rizun
  • J. Durkiewicz

• Financial Analysis (summer 2025)

  e-Learning Courses

  • P. Figura

• Market Analysis 2023/24

  e-Learning Courses

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

• Sensory i przetworniki pomiarowe - laboratorium - zima 2022

  e-Learning Courses

  • K. Osiński
  • P. Kalinowski

  I stopień, IBM, sem.5

• Sensory i przetworniki pomiarowe - laboratorium - zima 2024

  e-Learning Courses

  • P. Jasiński
  • K. Osiński
  • P. Kalinowski

  I stopień, IBM, sem.5

• Sensory i przetworniki pomiarowe - laboratorium - zima 2024

  e-Learning Courses

  • I. Rogoń
  • P. Jasiński
  • K. Osiński
  • P. Kalinowski

  I stopień, IBM, sem.5

• Sensory i przetworniki pomiarowe - laboratorium - zima 2023

  e-Learning Courses

  • P. Jasiński
  • K. Osiński
  • P. Kalinowski

  I stopień, IBM, sem.5

• Sensory i Elementy Wykonawcze Zima 2023/2024

  e-Learning Courses

  • J. Schmidt
  • A. Schmidt

• Sensory i Elementy Wykonawcze Zima 2024/2025

  e-Learning Courses

  • J. Schmidt
  • A. Schmidt

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba

• Foundations of Capital Market Analysis

  e-Learning Courses

  • M. Gnyba