Search results for: DISCRETE RADON TRANSFORM

• Elements of Discrete Mathematics 2023

  e-Learning Courses

  • J. Raczek

  This course helps with learning Elements of Discrete Mathematics.

• Elements of Discrete Mathematics 2022

  e-Learning Courses

  • J. Raczek

  This course helps with learning Elements of Discrete Mathematics.

• Elements of Discrete Mathematics 2024

  e-Learning Courses

  • J. Raczek

  This course helps with learning Elements of Discrete Mathematics.

• Matematyka Dyskretna (Discrete Mathematics) 2021/22

  e-Learning Courses

  • P. Obszarski
  • K. Giaro

  Materiały do przedmiotów:  - Matematyka Dyskretna, kier: informatyka niestac. inż. rok 2. sem.3. 

• Matematyka Dyskretna (Discrete Mathematics) Lato 2022

  e-Learning Courses

  • J. Raczek
  • P. Obszarski
  • R. Ostrowski
  • K. Giaro
  • A. Jastrzębski

  Materiały do przedmiotów:  - Matematyka Dyskretna, kier: informatyka inż. rok 1. sem.2. 

• Local Planning

  e-Learning Courses

  • M. Radziszewska
  • M. Arczyńska

  The aim of the course is to present the practical tools for local development. It integrates joint activities of various entities (local government units, private entities, residents) in order to transform a specific space as well as possible ways to procure urban or architectural project and funding.

• Algorytmy Optymalizacji Dyskretnej - ed. 2021/2022

  e-Learning Courses

  • K. Pastuszak

  In real-world applications, many important practical problems are NP-hard, therefore it is expedient to consider not only the optimal solutions of NP-hard optimization problems, but also the solutions which are “close” to them (near-optimal solutions). So, we can try to design an approximation algorithm that efficiently produces a near-optimal solution for the NP-hard problem. In many cases we can even design approximation algorithms...

• Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• 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...