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 nonparametric hypotheses, using the classical and Bayesian approach, based on a sample from a distribution, or from a random process. 