Course title |
Mathematical Statistics |
Acronym |
MS1MAS |
Study programme |
Electrical Engineering and Computing |
Module |
Applied Mathematics |
Type of study |
master academic studies |
Lecturer (for classes) |
|
Lecturer/Associate (for practice) |
|
Lecturer/Associate (for OTC) |
|
ESPB |
6.0 |
Status |
elective |
Condition |
Probability and Statistics in undergraduate studies at least one semester with at least 15 hours of theoretical lectures per week. |
The goal |
The course is a continuation of the undergraduate course "Probability and Statistics". The objective is to study principles and methods of mathematical statistics as an applied science, and to learn how to apply them in problems of estimation, detection, classification and hypotheses testing, within the framework of classical or Bayesian statistics. |
The outcome |
A student will be able to use methods of Mathematical statistics related to estimation of parameters and testing parametric and non-parametric hypotheses, using the classical and Bayesian approach, based on a sample from a distribution, or from a random process. |