At the end of this course, students are expected to:

- familiarize themselves with concepts such as order statistics, exponential family, location/scale parameters,
- learn some main point estimation techniques and the properties of these estimators, such as unbiasedness, completeness, sufficiency,
- learn theoretical background on hypothesis testing and interval estimation, together with their applications