1. Probability and statistics I.
Course content:
Combinatorics
Random event, definition of probability.
Conditioned probability, Bayes theorem .
Random variable, distribution of random variable, characteristics of random variable
Discrete and continuous distributions
Random choice, principle of statistical testing.
2 tests, t – tests
ANOVA
correlation, regression

2. classification : (x is percentage of success)
Literature.
Course organization.
To obtain the credit, following conditions must be fulfilled simultaneously :
maximal 4 absences
maximal 1 absence in lectures where the test is written.
sufficient success in three continuous tests.
Percentage of success at short test is in interval <0%, 100%>.
To obtain a credit, the average of success of all short tests must be at least 55%.
If a student does not get a credit, he / she can not take the exam and is rated "4" (failed)
Classification of the exam:
classification : (x is percentage of success)
x < 55, classification 4
55  x < 65, classification 3
65  x < 70, classification 2-
70  x < 80, classification 2
80  x < 90, classification 1-
x  90, classification 1

3. Short tests will be written on 12.3., 23.4., 7.5.
Corrective test will be written on 14.5.
Exams:
1st terms: 28.5., 29.5.
2nd terms: 4.6., 11.6.
3rd term: 18.6.