Course detail
Probability,statistics,operations research
FEKT-MPSOAcad. year: 2012/2013
Basic statistical tests - t-test, F-test. Confidence intervals. Linear regression. Post-hoc tests. Goodnessw of fit test. Nonparametric tests. Mathematical methods in economics - linear programming, the transport problem. Dynamic programming, recursive algorithm, inventory models.
Language of instruction
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Mode of study
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Department
Learning outcomes of the course unit
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
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Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
- Programme EEKR-M Master's
branch M-MEL , 1 year of study, winter semester, theoretical subject
branch M-SVE , 1 year of study, winter semester, theoretical subject
branch M-EVM , 1 year of study, winter semester, theoretical subject
branch M-EEN , 1 year of study, winter semester, theoretical subject
branch M-TIT , 1 year of study, winter semester, theoretical subject
branch M-BEI , 2 year of study, winter semester, theoretical subject
branch M-KAM , 1 year of study, winter semester, theoretical subject - Programme EEKR-M Master's
branch M-EVM , 1 year of study, winter semester, theoretical subject
branch M-EEN , 1 year of study, winter semester, theoretical subject
branch M-TIT , 1 year of study, winter semester, theoretical subject
branch M-MEL , 1 year of study, winter semester, theoretical subject
branch M-SVE , 1 year of study, winter semester, theoretical subject
branch M-BEI , 2 year of study, winter semester, theoretical subject
branch M-KAM , 1 year of study, winter semester, theoretical subject - Programme EEKR-CZV lifelong learning
branch EE-FLE , 1 year of study, winter semester, theoretical subject
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Analysis of variance (ANOVA).
3. Correlation, regression.
4. After or instead of ANOVA.
5. Chi square distribution.
6. Nonparametric tests.
7. Linear programming.
8. Duality in linear programming.
9. Transport problem.
10.Dynamic programming.
11.Inventory models.
12.Probabilistic dynamic programming.
Exercise in computer lab
Teacher / Lecturer
Syllabus