Project optimization and operational research

1.

Subject title

Project optimization and operational research

Оптимизација на проекти и операциски истражувања

2.

Code

m23_s_068

3.

Study program

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

проф. д-р Верица Бакева

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

This subject has the following basic goals: - to introduce the student to the field problems and methods of operational research, Project SEO Problems and Optimal Project Management - to introduce the student to the methods and techniques of operational research related to Administrative Information Systems and Information Support Supporting Support - to introduce the student to the methods and techniques of operational research related to Strategic Information Systems and Business Intelligence Systems

11.

Subject content:

Topics processed within this subject: - Introduction: Defining a problem, data collection, problem model (mathematical, Logical ...), Model solving, testing .. - Mathematical models: mathematical programming, network models and optimization, games theory, Markov`s chains, mass service systems, prediction. Simulations. - Project Management, Time Analysis (CPM/PERT), Cost Analysis, Analysis of resources - Optimizing models in management information systems and information systems for Supporting decision -making. Decision analysis, deterministic, probable models, with and without experiments - Optimizational models in strategic information systems and business systems Intelligence

12.

Learning methods:

Методи на учење:  Предавања  Вежби: дискусија базирана на примери, анализа на разни актуелни и јавно достапни примери  Групно истражување, користење на релевантни програмски модули и оптимизациски софтвери  Изработка на проекти (семинарски работи) и нивна одбрана

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

30 + 15 + 30 + 60 + 45 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

15 hours

16.

Other forms of activities

16.1.

Project tasks

60 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

45 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

60 points

17.3.

Activities and learning

10 points

17.4.

Final exam

40 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

активност на часови

20.

Language of instruction

македонски, англиски

21.

Quality assurance method

евалуација на содржината на предметот и реализација на наставата

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature