Multivariate statistical analysis

1.

Subject title

Multivariate statistical analysis

Повеќедимензионална статистичка анализа

2.

Code

m23_s_053

3.

Study program

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

ворн. проф. д-р Александра Дединец доц. д-р Илинка Иваноска проф. д-р Марија Михова

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

Students to learn to use the methods of multidimensional statistical analysis with Waring the widely used one -dimensional methods. To her understand the kavarian structure in the analysis of multidimensional data. Learn to choose and apply appropriate methods for drawing, systematizing and analyzing the information contained in multidimensional data.

11.

Subject content:

Multidimensional normal allocating and performing conclusions for the vector of the mathematical expectation. Cluster analysis and discriminatory analysis. Main analysis Components and factor analysis. Canonic Coatellation Analysis.

12.

Learning methods:

предавања, и 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 + 30 + 60 + 0 + 30 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

30 hours

16.

Other forms of activities

16.1.

Project tasks

0 hours

16.2.

Independent tasks

60 hours

16.3.

Homework

30 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 проектни задачи

20.

Language of instruction

Македонски или англиски

21.

Quality assurance method

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

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature