Probability (SL_104)
About Study Course
Learning outcomes
1.The student will:
1) independently define event, outcome, trial, simple event, sample space and calculate the probability that an event will occur;
2) demonstrate deeper knowledge in fundamental probability concepts, including random variable, probability of an event, additive rules and conditional probability, Bayes’ theorem;
3) recognize, distinguish and use the basic statistical concepts and measures;
4) recognize and comprehend several well-known distributions.
1.The student will have skills to:
1) derive probability distributions of functions of random variables;
2) derive expressions for measures such as the mean and variance of common probability distributions using calculus and algebra;
3) calculate probabilities for joint distributions including marginal and conditional probabilities;
4) develop the concept of the central limit theorem.
1.The student will be competent to:
1) to evaluate and solve problems independently;
2) prove some basic theorems of probability theory;
3) choose appropriately and apply the central limit theorem to sampling distributions.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Biostatistics | 1 | Master's | Limited choice |
