Subject

Statistical Inference Methods

Course Title

Statistical Inference Methods
Methods of statistical inference

Code

m23_s_048

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

Second cycle

Academic year / semester

10 / Summer

Number of ECTS credits

Teacher

Alexandra Popovska Mitrović, Natasha Ilievska

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

The goal of the course is to familiarize students with the theoretical foundations of statistical methodology.

11.

Course content

Random vectors and joint distributions. Convergence of random variables. Sufficient statistics. Principles of
Point estimation. Estimation by the method of moments, Bayesian estimation, optimality in estimation, interval estimation and hypothesis testing. Nonparametric tests.

12.

Learning methods

lectures, exercises, laboratory work, project work, and independent study.

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

60 + 60 + 60 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	60 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	— hours

16.

Other forms of activities

16.1.	Project assignments	0 hours
16.2.	Independent assignments	60 hours
16.3.	Home study	60 hours

17.

Assessment method

17.1.	Tests	0 points
17.2.	Seminar paper / project (presentation: written and oral)	0 points
17.3.	Activities and learning	0 points
17.4.	Final exam	0 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)