Applied statistical analysis

1.

Subject title

Applied statistical analysis

Применета статистичка анализа

2.

Code

m23_w_023

3.

Study program

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

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 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

доц. д-р Бојан Илијоски доц. д-р Илинка Иваноска проф. д-р Марија Михова

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

The main goal is for students to gain knowledge and experience in using statistics overlooking the real world and who could be their solutions. In addition, the objectives of this course include building the basis of students for applied statistics, improving practical skills and promoting corporate practices, building statistical consulting and mining through data, experience of lip preparation and written reports. Students will learn to handle open source software packages for data analysis and processing and commercial statistical data processing software and get acquainted with the basics of statistical programming.

11.

Subject content:

Principles of applied statistics, statistical calculation, statistical modeling, application of statistics, description, interpretation and research analysis of data with graphics and other assets, statistical tools, analysis of ready -made data with SPSS (or STATA or SAS), work in Excel and basics of programming in R and/or Python.

12.

Learning methods:

Предавања. Изработка на семинарски и проект.

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + 0 + 30 + 60 + 30 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

0 hours

16.

Other forms of activities

16.1.

Project tasks

60 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

30 hours

17.

Grading method

17.1.

Tests

10 points

17.2.

Seminar work / project (presentation: written and oral)

60 points

17.3.

Activities and learning

10 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

Изготвен проект и семинарски работи

20.

Language of instruction

Македонски

21.

Quality assurance method

Анкетни прашалници и разговор со студентите.

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature