Engineering Applications
Code  Completion  Credits  Range  Language 

BE1M15IAP  Z,ZK  5  2P+2C 
 Lecturer:
 Jan Kyncl, Ladislav Musil
 Tutor:
 Jan Kyncl, 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.: WileyInterscience, 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
 Timetable for winter semester 2019/2020:

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 Tue Fri Thu Fri  Timetable for summer semester 2019/2020:
 Timetable is not available yet
 The course is a part of the following study plans:

 Electrical Engineering, Power Engineering and Management  Technological Systems (compulsory course in the program)
 Electrical Engineering, Power Engineering and Management  Electrical Machines, Apparatus and Drives (compulsory course in the program)
 Electrical Engineering, Power Engineering and Management  Electrical Power Engineering (compulsory course in the program)
 Electrical Engineering, Power Engineering and Management  Electrical Power Engineering (compulsory course in the program)
 Electrical Engineering, Power Engineering and Management  Technological Systems (compulsory course in the program)
 Electrical Engineering, Power Engineering and Management  Management of Power Eng. and Electr. (compulsory course in the program)
 Electrical Engineering, Power Engineering and Management  Electrical Drives (compulsory course in the program)