Course: Mathematic Seminar - MATLAB

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Course title Mathematic Seminar - MATLAB
Course code UMKM/AMS3
Organizational form of instruction Lesson
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 2
Language of instruction English
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Zahrádka Jaromír, RNDr. Ph.D.
Course content
Operating of the MATLAB programing language. Imagining of numbers, vectors, matrices, basic mathematical exercises. Matrix operations, determinants. Sets of linear and nonlinear equations. 2D and 2D graphics. M-file programing. Mathematical MATLAB functions, developing of functions. Symbolic and numeric derivations and partial derivations. Integration functions, integrals. Sums of numeral series. Regression tasks. Differential equations. Function calculator.

Learning activities and teaching methods
Methods of individual activities, Skills training
  • unspecified - 13 hours per semester
Learning outcomes
To teach the students how to use the programming language MATLAB at such a level that enables the students to use the programming instrument in solving selected mathematical exercises and exercises with economic thematic. Students will be able to use the MATLAB to create 2D and 3D graphs.
Students are able to operate the MATLAB programing language.
Prerequisites
Basic mathematical knowns and skills of the mathematics of the middle schools and mathematics of the subject AMT1.

Assessment methods and criteria
Student performance assessment

Assignment - active attendance at seminars and completion of all given tasks by use of MATLAB programming language.
Recommended literature
  • Daku, Brian L. F. MATLAB Tutor CD : learning MATLAB Superfast!. Hoboken: John Wiley & Sons, 2006. ISBN 0-471-27469-0.
  • Higham, D. J. MATLAB guide. Philadelphia: SIAM - Society for Industrial and Application Mathematics, 2005. ISBN 978-0-898715-78-1.
  • Leader, Jeffery J. Numerical analysis and scientific computation. Boston: Pearson Education, 2004. ISBN 0-321-22335-7.
  • Moler, Cleve B. Numerical computing with MATLAB. Philadelphia: SIAM - Society for Industrial and Application Mathematics, 2004. ISBN 978-0-898716-60-3.


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Economics and Administration Regional and Information Management (2013) Economy 1 Summer