Subject

Decision support systems

Course Title

Decision support systems
Decision support systems

Code

F18L3W156

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

7 / Winter

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

Artificial Intelligence or Introduction to Data Science

10.

Objectives of the course programme (competences)

This course is an introduction to the application of data analysis for making business decisions. The goal of the course is for students to become familiar with decision support methods, techniques, and systems, as well as decision analysis. They will also learn about knowledge acquisition and knowledge representation techniques. Upon completion of the course, students will gain the knowledge to use decision support systems, correctly select an appropriate decision support system in a given business context, as well as to design, develop, and manage decision support systems.

11.

Course content

Expert systems. Knowledge engineering process. Knowledge representation. Knowledge discovery. Reasoning with uncertainty. Fuzzy logic. Decision making, systems, modeling, and support. Decision support systems, concepts, methodologies, and technologies. Decision modeling and analysis. Decision analysis. Applications for business decision-making in management, marketing, sales, customer relationship management, e-commerce, innovation, and more. Collaboration, communication, group decision support systems. Knowledge management. Management support systems, trends and impacts. Tools and environments for development and design.

12.

Learning methods

lectures, classroom exercises, laboratory exercises, project assignments, homework

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	15 hours
16.3.	Home study	75 hours

17.

Assessment method

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activities and learning	10 points
17.4.	Final exam	70 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.

Requirement for obtaining a signature and taking the final exam

Completed activities 15, 16

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature No. Author Title Publisher Year
22.2.	Additional literature No. Author Title Publisher Year