Systems for data-based business decision-making

1.

Subject title

Systems for data-based business decision-making

Системи за податочно-базирано деловно одлучување

2.

Code

m23_w_033

3.

Study program

Bioinformatics, Security, Cryptography and Coding, Cloud Computing, Еducation with ICT, Eco-informatics, 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, Software Engineering, Data science in computer science and engineering, IT management, Inteligent Systems, 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

проф. д-р Андреа Кулаков проф. д-р Георгина Мирчева

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

In this course, students will acquire the knowledge of business -based business decision making. Students will get acquainted with the method of knowledge of knowledge, methods and techniques for decision -making, design, development and evaluation of data -based business decision -making systems. Upon completion of this course, students will gain deeper knowledge of the techniques and methods of making business decisions, the right choice of methods and techniques, the design and development of business decision -making systems and their application in different applications. Students will gain practical knowledge by analyzing a case study.

11.

Subject content:

Making decisions, introductions, concepts, business decisions. Collecting and representation of business data. Methods and techniques for modeling in business decision making. Decision -making systems, introduction, concepts, categorization. Design and Development of decision -making systems. Software tools and environments for design and development. Business Decision Analysis. Evaluation of decision -making results. Business decision -making in organizations management. Business decision making in marketing, sales and e-commerce. Business decision -making to manage customer relationships. Business decision making in production and innovation. Business decision making for optimization, deployment and planning.

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, практични вежби

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + 0 + 45 + 45 + 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

45 hours

16.2.

Independent tasks

45 hours

16.3.

Homework

30 hours

17.

Grading method

17.1.

Tests

15 points

17.2.

Seminar work / project (presentation: written and oral)

45 points

17.3.

Activities and learning

15 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

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature