Intelligent Information Systems (3+1+1)

1. General information 
 
The science of building artificial intelligent systems takes the central place in the engineering sciences. There are two main approaches in developing artificial intelligent systems: machines that incorporate intelligence – robots, and one that starts with biological systems and leads towards artificial being – bioinformatics and bioengineering. The Intelligent System Engineering is the place where students can understand and develop intelligent systems in solving real-life problems. 
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Intelligent Systems Engineering – bioinformatics / robotics
  • Scientific-research field: Engineering, Natural sciences and applied mathematics
  • Category: Informatics
  • Sub-category: Intelligent systems
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of Intelligent Systems Engineering, module Bioinformatics or Master of Intelligent Systems Engineering, module Robotics
 
 
2. Introductory courses
 
Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
Table 1: List of introductory courses
 

Course

Semester

ECTS

Предуслов

 1

 Probability and statistics

VII

6 Discrete mathematics
 2  Artificial intelligence VII
6 -
 3  Elective course 1 VII
 6 -
 4  Elective course 2 VII
 6
 5  Elective course 3  VII  6
 6

WAN networks

VIII

6

 Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 4 VIII 6 -
 9  Elective course 5
VIII 6 -
 10  Elective course from University list of available courses VIII 6 -
 
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Предуслов

 1

 Modelling and simulation

VII

6 Mathematics 2
 2  Computer graphics VII
6 Object-oriented programming
 3

 Introduction to robotics

VII

6

-

 4  Network programming VII 6 Internet programming
 5  Statistical data processing VII 6 Probability and statistics 
 6  Natural language processing VII 6 Formal languages 
 7

 Web-based systems

VII

6

Network programming

 8  Web design VII 6
 9  Visualization VII 6 Object-oriented programming 
10  Geographic information systems
VIII 6 Databases 
11  Human computer interaction VIII 6 Object-oriented programming 
12   E-commerce and m-commerce VIII 6 Computer networks
13  Virtual reality VIII 6 Human computer interaction 
14  Mobile information systems VIII 6 Databases, Distributed computer systems
15  Computer animation VIII 6 Computer graphics
16  Intelligent information systems VIII 6 Databases 
17  High performance computing VIII 6 Computer architectures
18  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Intelligent information systems can be found at this link.