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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Engineering Applications

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Code Completion Credits Range Language
BE1M15IAP Z,ZK 5 2+2c Czech
Lecturer:
Jan Kyncl (guarantor)
Tutor:
Jan Kyncl (guarantor), Ladislav Musil
Supervisor:
Department of Electrical Power Engineering
Synopsis:

The aim of the course is to get an overview of solving basic mathematical problems occurring in engineering practice using computer algebra systems

Requirements:

Condition for obtaining assessment is participation in seminars and semester thesis elaboration. Passing the exam is given by the Study and Examination Code for Students of the Czech Technical University in Prague.

Syllabus of lectures:

1.Analytical and numerical solutions of technical problems, electrical engineering examples

2.Eigenvalues and eigenvectors of matrices and the stability of dynamic linear systems

3.Finite and numerical solution of systems lin. equations, examples of electrical circuits, linear transformations

4.Free and constrained extremes of functions, overview of methods

5.Use optimization methods for the design of power devices

6.Overdetermined lin. equations, interpolation, regression

7. Examples of signal processing, Fourier series

8.Numerical quadrature (example of the determination of energy from time dependence of the power, basic numer. Methods for solving ODE)

9.Basic tasks using PDE in heavy power engineering, boundary and initial conditions (heat and diffusion equation, electromagnetic. field equations), Schmidt's method for parabolic equations

10.Weak solutions of PDE, Galerkin method, the use of FEM

11.Statistics and probability in technical tasks

12.Reliability assessment of basic arrangements

13.Correspondence of different task types, frequently used functions for approximation

14.Reserve

Syllabus of tutorials:

1.Analytical and numerical solutions of technical problems, electrical engineering examples

2.Eigenvalues and eigenvectors of matrices and the stability of dynamic linear systems

3.Finite and numerical solution of systems lin. equations, examples of electrical circuits, linear transformations

4.Free and constrained extremes of functions, overview of methods

5.Use optimization methods for the design of power devices

6.Overdetermined lin. equations, interpolation, regression

7. Examples of signal processing, Fourier series

8.Numerical quadrature (example of the determination of energy from time dependence of the power, basic numer. Methods for solving ODE)

9.Basic tasks using PDE in heavy power engineering, boundary and initial conditions (heat and diffusion equation, electromagnetic. field equations), Schmidt's method for parabolic equations

10.Weak solutions of PDE, Galerkin method, the use of FEM

11.Statistics and probability in technical tasks

12.Reliability assessment of basic arrangements

13.Correspondence of different task types, frequently used functions for approximation

14.Reserve

Study Objective:
Study materials:

DUBIN, Daniel H. Numerical and analytical methods for scientists and engineers using mathematica. Hoboken, N.J.: Wiley-Interscience, 2003, xvi, 633 p. ISBN 0471266108.

Esfandiari, R.S.: Numerical Methods for Engineers and Scientists Using MATLAB?, Second Edition. CRC Press, NY 2017.

Note:
Further information:
http://www.powerwiki.cz/wiki/Vyuka
Time-table for winter semester 2018/2019:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomT2:F1-109
Musil L.
11:00–12:30
(lecture parallel1
parallel nr.101)

Dejvice haly
Výpočetní lab.315
Tue
Fri
roomT2:F1-109
Kyncl J.
14:30–16:00
(lecture parallel1)
Dejvice haly
Výpočetní lab.315
Thu
Fri
Time-table for summer semester 2018/2019:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2019-03-21
For updated information see http://bilakniha.cvut.cz/en/predmet4634506.html