Search results for: NETWORK REPRESENTATION OF TIME SERIES

• 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...

• TIME SERIES MODELING 2023/2024

  e-Learning Courses

  • M. B. Pietrzak

  prowadzący: assoc. prof. Ján Dvorský, PhD

• Sieciowe systemy operacyjne 2022

  e-Learning Courses

  • W. Gumiński

  {mlang pl}Sieciowe systemy operacyjne 2021/22, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2021/22, Informatics, full-time postgraduate studies, 1st semester{mlang}

• Sieciowe systemy operacyjne 2023

  e-Learning Courses

  • W. Gumiński

  {mlang pl}Sieciowe systemy operacyjne 2022/23, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2022/23, Informatics, full-time postgraduate studies, 1st semester{mlang}

• Sieciowe systemy operacyjne 2024

  e-Learning Courses

  • W. Gumiński

  {mlang pl}Sieciowe systemy operacyjne 2023/24, informatyka, studia II stopnia, I sem. studia stacjonarne{mlang} {mlang en}Network Operating Systems 2023/24, Informatics, full-time postgraduate studies, 1st semester{mlang}

• Surface Science - 2023/2024

  e-Learning Courses

  • A. Manohar
  • J. Ryl
  • L. Piotrowski
  • A. Tober

  The course is not a full time lecture but on the consultation/handouts. The consulations are held every two weeks. The course is based on the Springer textbook: Surface Science An Introduction Downloadable at: https://link.springer.com/book/10.1007/978-3-662-05179-5 (PG network or vpn access) The goal of the subject is the presentation of basic problems resulting from he existence of interfacebetween material objects...

• 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...