Decision support systems

Course title

Code

F18L3W156

Study programme

—

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

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

Вештачка интелигенција или Вовед во науката за податоци

10.

Course objectives (competences)

This course is an introduction to the application of data analysis for making business decisions. The aim of the course is students to become familiar with the methods, techniques and decision support systems, as well as analysis of the decisions. To become familiar with the techniques for acquiring knowledge and representing knowledge. After completion of the course, students will gain knowledge of how to use decision support systems, how to properly choose 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. Process of knowledge engineering. Knowledge representation. Knowledge discovery. Reasoning with uncertainty. Fuzzy logic. Decision making, systems, modeling and support. Decision support systems, concepts, methodologies and technologies. Modeling and analysis in decision making. Analysis of decisions. Applications for making business decisions in management, marketing, sales, customer relationship management, e-commerce, innovations, etc. Collaboration, communication, decision support systems for making decisions in a group. Knowledge management. Decision support systems for management, trends and influences. Tools and frameworks 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 the available time

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

15.

Forms of teaching activities

15.1.	Lectures – theoretical teaching	30 hours
15.2.	Exercises (laboratory, auditory), seminars, team work	45 hours

16.

Other forms of activities

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

17.

Grading

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activity and participation	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.

Requirements for signature and taking the final exam

Completed activities 15, 16

20.

Language of instruction

Macedonian and English

21.

Method of monitoring teaching quality

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