MVŠO:YAM_UIM Applied Mathematics - Course Information
YAM_UIM Applied Mathematics
Moravian Business College Olomoucwinter 2016
- Extent and Intensity
- 8/0/0. 3 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Jan Říha, Ph.D. (lecturer)
Mgr. Veronika Říhová, Ph.D. (lecturer) - Guaranteed by
- Moravian Business College Olomouc
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Management and Economics of Public Service (programme MVŠO, 1091)
- Company Economics and Management (programme MVŠO, 1091)
- Company Information Systems (programme MVŠO, 1091)
- Course objectives
- Aim of this subject is to prepare students for a direct application of math skills when solving practical tasks. Mathematical calculations and case studies are difered in accordance with the subject to cover a wide range of disciplines to be covered by studentes in practise. Subject deals with a direct application of the skills studied during the previous semesters to solve practical tasks.
- Syllabus
- 1. Risk conception, classification, measurement
- understanding the term "risk"
- types of risks
- numerical charasteristics to measure the risk
2. Risk identification, signifikance determination, probability distribution
- sensitivity analysis
- uniform distribution
- triangular distribution
- yes-no distribution (Bernouli)
3. Simulation of risk factors dependence
- correlation
- envelope method
4. Monte Carlo simulation
- simulation procedure
- outputs evaluation
5. Risk evaluation and selection of risk variant
- attitude to risk
- expected value and dispersion method
- stochastic dominance method
- coefficient of variation
6. Application of integral and differential calculus in costs models
- methods for cost functions determination
- application of definite integral
7. Restoration models
- continuous model of elderly appliance
- discreet model of elderly appliance
8. Deterministic inventory models
- optimization of inventory costs
9. Stochastic inventory models
- loss optimization
10. Linear programming
- graphical method for solving problems of linear programming
11. and 12. Mathematical methods for decision-making
- decision-making processes
- methods for multi-criteria evaluation
- 1. Risk conception, classification, measurement
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 8 HOD/SEM.
- Enrolment Statistics (winter 2016, recent)
- Permalink: https://is.mvso.cz/course/mvso/winter2016/YAM_UIM