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Course detail

Mathematics I

Course unit code: FSI-9MA1
Academic year: 2016/2017
Year of study: Not applicable.
Semester: both
Number of ECTS credits:
Learning outcomes of the course unit:
Not applicable.
Mode of delivery:
Not applicable.
Prerequisites:
Not applicable.
Co-requisites:
Not applicable.
Recommended optional programme components:
Not applicable.
Course contents (annotation):
Normal distribution.
Estimation of parameters.
Hypothesis testing.
Analysis of variances.
Tukey's method and Scheffe method.
Linear model.
Coefficient of correlation.
Recommended or required reading:
J. Anděl: Matematická statistika, SNTL/ALFA, Praha 1978
F. Egermayer, M. Boháč: Statistika pro techniky, SNTL, Praha 1984
Planned learning activities and teaching methods:
The course is taught through lectures explaining the basic principles and theory of the discipline.
Assesment methods and criteria linked to learning outcomes:
Not applicable.
Language of instruction:
Czech, English
Work placements:
Not applicable.
Course curriculum:
Not applicable.
Aims:
Not applicable.
Specification of controlled education, way of implementation and compensation for absences:
Not applicable.

Type of course unit:

Lecture: 20 hours, optionally
Teacher / Lecturer: doc. RNDr. Bohumil Maroš, CSc.
Syllabus: 1. Collection of data.
2. Variance.
3. Pareto analysis.
4. Probability density and probability distribution.
5. Normal distribution.
6. Distribution of averages
7. Estimation of parameters.
8. Hypothesis testing.
9. Analysis of variances. One way testing,
10. Two way testing.
11. Tukey's method. Scheffe method.
12. Linear model.
13. Coefficient of correlation. Partial coefficient of correlation.
14. Statistics modelling. Monte Carlo method.

The study programmes with the given course