OG07VS - Probability and Statistics
| Course specification | ||||
|---|---|---|---|---|
| Type of study | Bachelor academic studies | |||
| Study programme | ||||
| Course title | Probability and Statistics | |||
| Acronym | Status | Semester | Number of classes | ECTS |
| OG07VS | mandatory | 3 | 2L + 2E | 5.0 |
| Lecturers | ||||
| Lecturer | ||||
| Lecturer/Associate (practicals) | ||||
| Prerequisite | Form of prerequisites | |||
| does not have | - | |||
| Learning objectives | ||||
| The aim of the course is understanding the basic terms from probability and statistics and their application in professional subjects. | ||||
| Learning outcomes | ||||
| Students are expected to master basic concepts in the probability theory as well as basic concepts mathematical statistics and some important statistical tests that will later serve them as in professional subjects as well as in the practice. | ||||
| Content | ||||
| Basic concepts of probability theory. Conditional probability. Bayesian formula. Random variables. The mathematical expectation of random variable and variance. The most important random variable distributions. Normal distribution of random variable. Boundary theorems probability theories. Inequality of Markov and Chebyshev. Basic concepts of mathematical statistics. Distribution parameter estimates. Numerical estimations. Interval estimations of distribution parameters. Testing of statistical hypotheses. Parametric tests. Variance analysis. Hi square test. | ||||
| Teaching Methods | ||||
| Lectures and exercises | ||||
| Literature | ||||
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| Evaluation and grading | ||||
| Class Activity 5 credits, Attendance 5 credits, Colloquium 1 30 credits Colloquium 2, 30 credits, Final exam 30 credits | ||||
| Specific remarks | ||||
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