ESF:DXX_MATE Mathematics for PhD - Course Information
DXX_MATE Mathematics for PhD studies
Faculty of Economics and AdministrationAutumn 2012
- Extent and Intensity
- 12/12. 6 credit(s). Type of Completion: z (credit).
- Teacher(s)
- doc. Mgr. Petr Zemánek, Ph.D. (lecturer)
Mgr. Ing. Stanislav Tvrz, Ph.D. (assistant) - Guaranteed by
- prof. RNDr. Roman Šimon Hilscher, DSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Contact Person: Bc. Marta Ordeltová
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Wed 3. 10. 15:00–18:50 M4,01024, Wed 14. 11. 15:00–18:50 M4,01024, Wed 21. 11. 15:00–18:50 M4,01024, Wed 28. 11. 15:00–18:50 M4,01024, Wed 5. 12. 15:00–18:50 M4,01024, Wed 12. 12. 15:00–18:50 M4,01024
- Prerequisites
- Differential and integral calculus for functions of one variable (elementary functions; limit; derivative; curve analysis; Taylor series; fundamental integration methods)
Basic linear algebra (matrix; vector; determinant; solution of system of linear equations)
These topics are also a part of the bachelor course Mathematics (BPM_MATE or BKM_MATE, spring semester), the link to the textbook for the latter courses can be found in the folder Study Materials/Learning Materials - 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
- there are 22 fields of study the course is directly associated with, display
- Course objectives
- At the end of the course, students should be able to handle the basic mathematical parts which are necessary for the course DXE_MIKR Microeconomics.
- Syllabus
- 1. Principles of mathematical proofs (direct and indirect proofs, mathematical induction)
- 2. Calculus of several variables (basic definitions and notations, partial derivative and fundamental rules, matrix notation, homogeneous function, concave/quasiconcave functions, implicit functions)
- 3. Optimization (unconstrained extrema, constrained optimization, Kuhn-Tucker condition, Envelope theorem)
- 4. Probability
- Literature
- SIMON, Carl P. and Lawrence BLUME. Mathematics for economists. 1st ed. New York: W.W. Norton, 1994, xxiv, 930. ISBN 0393957330. info
- Microeconomic theory. Edited by Andreu Mas-Collel - Michael D. Whinston - Jerry R. Green. Oxford: Oxford University Press, 1995, xvii, 981. ISBN 0-19-507340-1. info
- SYDSÆTER, Knut and Peter J. HAMMOND. Essential mathematics for economic analysis. 3rd ed. Harlow: Prentice-Hall, 2008, xiv, 721. ISBN 9780273713241. info
- SYDSÆTER, Knut. Further mathematics for economic analysis. 2st ed. Harlow: Prentice-Hall, 2008, xi, 616. ISBN 9780273713289. info
- Teaching methods
- Intensive course in: 3.10., 14.11., 21.11., 28.11., 5.12., 12.12. (Wednesday) starting at 15:00 in the room M4 (Department of Mathematics and Statistics, Faculty of Science)
Every course should be divided in 2-hours lectures and 2-hours class exercises (the attendance is obligatory in the exercises). - Assessment methods
- max. 2 unexcused nonattendance and at least 50 % of points from a written credit test and homeworks; each other unexcused nonattendance raises minimum of the necessary points about 20 %.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period.
- Enrolment Statistics (Autumn 2012, recent)
- Permalink: https://is.muni.cz/course/econ/autumn2012/DXX_MATE