Business analytics

1.

Subject title

Business analytics

Бизнис аналитика

2.

Code

m23_s_052

3.

Study program

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

7. Number of ECTS credits

6.0

8.

Instructor

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

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

The course allows students to master the tools for quantitative analysis and apply them in a business environment. Students will learn how data analysts describe, predict and inform business decisions in specific areas of marketing, human resources, finance and operations. They will develop basic data literacy and analytical thinking, which will help them make strategic decisions based on data. Students will work on the project in order to apply their skills to interpret real -world data and make appropriate business strategy recommendations.

11.

Subject content:

Models for business analytics. Business Analytics Strategies. Development and implementation of functional information: customer analysis, human resources development, prices, finance, inventory management. Analytical Level Business Analytics: Descriptive statistical methods, lists and reports, hypothesis-based methods, data mining methods, research methods (data reduction, cluster analysis, cross-sales models and over-sales). Business claims. Business analyzes at the data warehouse level.

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

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

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

30 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 – Англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature