|
Lecturer(s)
|
|
|
|
Course content
|
Basic topics are: Matlab environment, numbers, variables; Data types; Cycles, scripts and functions; 2D graphics; 3D graphics; Matrices, polynomials; Symbolic mathematics in Matlab, equations, integrals and derivatives; Linear algebra in Matlab; Mathematical analysis in Matlab; Integral transformations; Nonlinear equations; Differential equations; Interpolation and approximation;
|
|
Learning activities and teaching methods
|
Dialogic (discussion, interview, brainstorming), Demonstration, Skills training
- Home preparation for classes
- 13 hours per semester
- Contact teaching
- 26 hours per semester
- Preparation for a credit (assessment)
- 55 hours per semester
|
|
Learning outcomes
|
The objectives of the course are to familiarize and equip students with the knowledge and experience of the Matlab environment so that they are able to solve problems based on the needs of professional subjects of their specialization.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Didactic test, Self project defence
|
|
Recommended literature
|
-
Esfandiari R.S. Numerical Methods for Engineers and Scientists Using MATLAB, Issue 2 ? Introduction to Matlab. 2017.
-
Esfandiari R.S. Numerical Methods for Engineers and Scientists Using MATLAB, Issue 2 ? Introduction to Matlab. 2017.
-
Karban, Pavel. Výpočty a simulace v programech Matlab a Simulink. Brno: Computer Press, 2006. ISBN 80-251-1301-9.
-
Karban Pavel. Výpočty a simulace v programech Matlab a Simulink. Computer Press.
-
Zaplatílek, K., Doňar, B. Matlab pro začátečníky. .
-
Zaplatílek, Karel. MATLAB pro začátečníky. Praha: BEN - technická literatura, 2005. ISBN 80-7300-175-6.
|