Intelligent Systems Engineering (4+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: Other

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. Studies

Table 1: List of courses for master studies in Bioinformatics module.

	Professor	Course	Semester	ECTS
1	prof. Smile Markovski, assoc. prof. Ana Madevska Bogdanova	Computer science for Intelligent Systems	IX	6
2	assist. prof. Nevena Ackovska , assoc. prof. Marija Mihova	Information processing in biological systems	IX	6
3	prof. Sasho Panov	Molecular biology of the cell	IX	6
4		Elective course	IX	6
5		Elective course	IX	6
6	assoc. prof. Ana Madevska Bogdanova, prof. Zaneta Popeska	Data mining for bioinformatics	X	6
7		Elective course	X	6

Table 2: List of courses for master studies in Robotics module.

	Professor	Course	Semester	ECTS
1	prof. Smile Markoski, assoc. prof Ana Madevska Bogdanova	Computer science for Intelligent Systems	IX	6
2	assist. prof. Nevena Ackovska, assoc. prof. Marija Mihova	Information processing in biological systems	IX	6
3	assoc. prof. Andrea Kulakov, assist. prof. Nevena Ackovska	Introduction to robotics	IX	6
4		Elective course	IX	6
5		Elective course	IX	6
6	assoc. prof. Ana Madevska Bogdanova, assist. prof. Gjorgji Madzarov	Machine learning	X	6
7		Elective course	X	6

2.1 Elective courses

The student can choose a course from the list of available elective courses from all master study programms. The list of available elective courses can be found on this link.