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Табови

д-р Боро Јакимовски

Табови

Miroslav Mirchev Ph.D.

Табови

Magdalena Kostoska Ph.D.

EuroCC

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Within the EuroCC project under the European Union’s Horizon 2020 (H2020), participating countries are tasked with establishing a single National Competence Centre (NCC) in the area of high-performance computing (HPC) in their respective countries. These NCCs will coordinate activities in all HPC-related fields at the national level and serve as a contact point for customers from industry, science, (future) HPC experts, and the general public alike. The EuroCC activities—with 33 member and associated countries on board—is coordinated by the High-Performance Computing Center Stuttgart (HLRS). The project aims to elevate the participating countries to a common high level in the fields of HPC, HPDA and artificial intelligence (AI). To this end, the EuroCC project will establish National Competence Centres (NCCs) in the participating countries, which will be responsible for surveying and documenting the core HPC, HPDA, and AI activities and competencies in their respective countries. Ultimately, the goal is to make HPC available to different users from science, industry, public administration, and society.

More information about the project can be found at https://www.eurocc-project.eu/

The role of FCSE, UKIM in the project

FCSE, UKIM is the National HPC Competence Center in Macedonia, taking the leading role in developing the roadmap, capacity building, training as well as the facilitation of access to expertise. It will interface with industry partners to enlarge the HPC application nationwide.

Табови

Дарко Сасански

Software Engineering TEMPUS (3+1+1)

Software Engineering TEMPUS (3+1+1)

1. General information 
The MSc curriculum in software engineering is committed to excellence in European-wide software education and training of engineers to deliver high quality and trustworthy software systems that meet the local industrial needs.
 
General competencies
  • Ability to work in an interdisciplinary team
  • Capacity for critical analysis and synthesis
  • Capacity for applying knowledge in practice
  • Capacity for generating new ideas (creativity)
  • Capacity to learn
  • Decision-making
  • Knowledge of a second language
  • Research skills 
Specific learning outcomes
  • Show mastery and critical thinking of the software engineering (SE) knowledge and skills and professional issues necessary to begin practice/research as a software engineer.
  • Work as individual or as part of a team to develop and deliver high quality software artefacts, being able to analyze its level of quality.
  • Identify, analyse, and reconcile conflicting project objectives, finding acceptable compromises within limitations of cost, time, knowledge, existing systems and organizations.
  • Analyze, design and document appropriate solutions in more than one application domains using SE approaches that integrate ethical, social, legal and economic concerns.
  • Demonstrate an understanding of and critically analyze and apply current theories, models and techniques that provide a basis for problem identification and analysis, software design, development, implementation, verification and documentation.
  • Demonstrate an appreciation and understanding for the importance of negotiation, effective work habits, leadership and good communication with stakeholders in a typical, industry-strength software environment.
  • Learn new theories, models, techniques and technologies as they emerge and appreciate the necessity of such continuing professional development. 
  • Offered by: Sts. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE in collaboration with the University of Novi Sad, Faculty of Natural Sciences and Mathematics, Department of Mathematics and Computer Science
  • Study programme: Joint MSc curricula in Software Engineering / Tempus JEP 18035
  • Scientific-research field: Computer Science
  • Category: Computing
  • Sub-category: Software and its Engineering, Theory of Computation, Information 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)
  • The first semester is comprised of courses only, while the second semester there is devoted to the final project, i.e. master thesis.
  • 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.
  • First semester: 5 elective courses divided into two groups: general SE competence and specific SE competence. Student can select at most two from the general SE courses, and at leas from the specific SE courses
  • Second semester: Final master thesis project that equals 30 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science in the area of software engineering.
 
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: Introductory semester 1 - mandatory and elective courses from which 5 courses can be elected
 

Course

Semester

ECTS

Prerequisite
 1

 Probability and statistics

VII

 6 Calculus 2
 2  Internet technologies VII 6 Databases
 3  Microprocessors and microcontrollers VII 6  Calculus 2
 4  Formal languages and automata VII  6 Discreet structures 2 
 5

Analyses of software requirements

VII

6

Software engineering 
 6

 Human computer interaction

VII

6

Software engineering
 7  Software construction VII 6 Software engineering
 8  Management in ICT VII 6 Software engineering
 9  Professional ethics VII 6 Software engineering
 
 
Table 2: Introductory semester 2 - mandatory and elective courses from which 5 courses can be elected
 

Course

Semester

ECTS

Prerequisite
 1

 Information systems

VIII

 6 Databases
 2  Calculus 3 VIII 6 Discreet structures 2
 3

 Algorithms

VIII

6

Object oriented and visual programming
 4

 Software architecture and design

VIII

6

Analyses of software requirements
 5  Software quality and testing VIII 6 Software construction 
 6  Compilers VIII 6 Microprocessors and microcontrollers
 7  Software projects management VIII 6 Software engineering
 
2.1 Studies
 
Courses for the Master studies for the study programme Software engineering TEMPUS can be found at this link.

Intelligent Systems Engineering (3+1+1)

Intelligent Systems Engineering (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: 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.  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 for the module Bioinformatics
 

Course

Semester

ECTS

Prerequisite
 1

 Intelligent systems

VII

 6  Calculus 3
 2  Databases 2 VII 6 Databases
 3

 Human computer interaction

VII

6

Software engineering
 4  Elective course 1 VII 6  
 5  Elective course 2 VII 6  
 6

 Bioinformatics 

VIII

6

-
 7

 Fundamentals of intelligent systems

VIII

6

Data structures and Discreet structures 2
 8  Data mining VIII  6  Probability and statistics (or Statistics) and Databases
 9  Elective courses 3 VIII 6  
 10  Elective course from University list of available courses VIII 6  
 
 
Table 2: List of introductory courses for the module Robotics
 

Course

Semester

ECTS

Prerequisite
 1

 Intelligent systems

VII

 6 Calculus 3
         
 2  Human computer interaction VII 6 Software engineering
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5  Elective course 3 VII 6  
 6

 Fundamentals of intelligent systems

VIII

6

Data structures and Discreet structures 2
 7

 Microprocessors and microcontrollers 

VIII

6

 Computer architecture
 8

 Bioinformatics

VIII

6

-
 9  Robotics VIII  6  -
 10  Elective course from University list of available courses VIII 6  
 
 
Table 3: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite
 1  Professional ethics VII 6 Software engineering
 2  Software constriction VII  6 Software architecture and design
 3  Advanced computer systems VII  6 Microprocessors and microcontrollers
               
 4  Statistics  VIII  6 Probability
 5

 Algorithms

VIII

6

Object and visual programming
 6

 Information systems

VIII

6

Databases
 7

 Calculus 3

VIII

6

Calculus 2
 8  Parallel and distributive processing VIII 6  Operating systems
 9  Software architecture and design VIII 6  Analysis of software requirements
10  Network and distributed operating systems VIII 6  Data structures and Operating systems 
 
3. Studies
 
Courses for the Master studies for the study programme Intelligent Systems Engineering can be found at this link.

Intelligent Information Systems (3+1+1)

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

Prerequisite
 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

Prerequisite
 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.

Табови

д-р Невена Ацковска

Табови

Mile Jovanov Ph.D.