Methods of statistical inference

Methods of statistical inference

1.

Subject title

Methods of statistical inference

Методи на статистичко заклучување

2.

Code

m23_s_048

3.

Study program

Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software for embedded systems, Software Engineering, Cloud Computing, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Data science in computer science and engineering, IT management, Software Engineering,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Александра Поповска Митровиќ проф. д-р Наташа Илиевска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


The purpose of the subject is to introduce students to the theoretical foundations of statistical methodology

11.

Subject content:


Random vectors and mutual distributions. Convergence of random variables. Sufficient statistics. Principles of Point assessment. Assessment by the method of eligibility, Baes evaluation, optimality in assessment, interval evaluation and testing of hypotheses. Non -parametric tests.

12.

Learning methods:


предавања, вежби, лабораториски вежби, изработка на проектна задача и самостојно учење.

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + + 60 + 0 + 60 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

hours

16.

Other forms of activities

16.1.

Project tasks

0 hours

16.2.

Independent tasks

60 hours

16.3.

Homework

60 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / 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)

19.

Condition for signature and taking final exam

Минимум од 10% од поените на секој од колоквиумите, изработена проектна задача

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

Анализа на постигнатите резултати, анонимна анкета на студентите за квалитетот на наствата

22.

Literature

22.1.

Mandatory literature

No.

Author

Title

Publisher

Year

6528

0

6529

0

22.2.

Additional literature

No.

Author

Title

Publisher

Year