Content (Syllabus outline)

- Introduction
- Fixed and random effects (summary)
- Structure of location parameters  and dispersion parameters
- Statistical model:
1. Regression models
2. One-trait and multi-trait models
3. Full rank models
4. Non-full rank models
5. Hierarchical models
6. Cross-classified models
7. Combination models
8. Linear models
9. Non-linear models
10. General linear models

- Model construction
- Methods of least square means
- Parameter estimation
- Hypothesis
- Linear models
- Mixed models
- Prediction of genetic effects
- Nonparametric models
- Hot topics (lactation curves, growth curves)

Prerequisites

a) Prerequisites for the inclusion in the work: enrolment in the corresponding year of study programme.

b) Prerequisites for performing study obligations:
1) Colloquium of tutorial:
- attendance at tutorials.
2) Exams
- passing the colloquium,
- attendance at lectures.