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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2022/2023

Python for Scientific Computations and Control

The course is not on the list Without time-table
Code Completion Credits Range Language
2375004 KZ 4 2P+2C Czech
Lecturer:
Tutor:
Supervisor:
Department of Instrumentation and Control Engineering
Synopsis:

Scientific computations and processing of online measured data in programming environment Python, communication with connected devices, saving and visualization of online measured data into PC using Python in real time, libraries, programming the common tasks of numerical mathematics in Python, programming graphic user interfaces, visualization, demonstration of solved problems. Classification upon the individually solved class projects. The analogies to Matlab will be discussed during the course.

Requirements:
Syllabus of lectures:

1.Programming environment Python and its potentials

2.Programming language Python for scientific computations and data processing (NumPy, SciPy)

3.Working with vectors and matrices ? matrix operations, solving sets of linear equations in Python

4.Eigenvalues and eigenvectors in Python, data compression by PCA in Python

5.Data visualization (MatplotLib)

6.A simple ODE solver for simulation of a set of differential equations and their sets; computing of a discrete time (difference) equation in Python

7.Graphic User Interface (GUI) designs in Python

8.Recording online measured data into PC and visualization in Python

9.Vizualization and signal processing in Python (statistical markers, correlation analysis, noise analysis, power spectral density)

10.Fundamental algorithms of static function approximation (gradient descent, Levenberg?Marquardt algorithm) and their implementation in Python

11.Examples of the gradient descent method for approximation of a dynamic system in Python

12.Example of tuning of controller parameters for a (real) laboratory system

13.Demonstration ? options for design of artificial neural network and fuzzy system in Python

14.Further potentials of Python, summary

Syllabus of tutorials:
Study Objective:
Study materials:

http://users.fs.cvut.cz/ivo.bukovsky/PVVR/index.htm

Note:
Further information:
http://users.fs.cvut.cz/ivo.bukovsky/PVVR/index.htm
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2022-09-27
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