ESF:KMMATI_T Mathematics I - Course Information
KMMATI_T Mathematics I
Faculty of Economics and AdministrationAutumn 2008
- Extent and Intensity
- 0/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Luboš Bauer, CSc. (lecturer)
- Guaranteed by
- prof. Ing. Osvald Vašíček, CSc.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková - Timetable
- Sun 21. 9. 12:50–15:20 T1, Sun 12. 10. 16:20–18:45 T1, Sat 1. 11. 9:20–11:50 T1, Sat 29. 11. 9:20–11:50 T1
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Management (programme ESF, B-EKM, specialization Management_T)
- Regional Development and Administration (programme ESF, B-HPS, specialization Reg. Develop. & Admin._T)
- Regional Development and Administration (programme ESF, B-HPS, specialization Reg. Develop. & Admin._T)
- Public Economics and Administration (programme ESF, B-HPS, specialization Public Economy and Administration_T)
- Course objectives
- Mathematics I (KMMATI) The aim of the subject is to introduce students to the principal mathematical means necessary to formulate and solve economic problems. The graduates of the course should understand and be able to use basic terms and methods of linear algebra, especially matrices and solving systems of linear algebraic equations. They also repeat some topics from elementary differential calculus. The course is followed by Mathematics II. (KMMAT2)
- Syllabus
- The basics of mathematical logic and the theory of sets. Elementary functions. Matrices, matrix relations and operations.
- Vector spaces. Linear dependence and independence. Basis and dimension. Scalar product, norm and distance.
- Determinants. Matrix rank. Systems of linear equations. Cramer's rule, elimination methods.
- Frobenius theorem. Description of solution sets for homogenous and inhomogeneous systems. Computation of matrix inverse. Eigenvectors and eigenvalues.
- Literature
- Assessment methods
- Four tutorials, three homeworks. Oral and written examination.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/econ/autumn2008/KMMATI_T