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Software Engineering (3+1+1)

Software Engineering (3+1+1)

1. General information
 
The goal of the master studies in software engineering is to provide top quality European education and training for the software engineers that will be ready to cope with the technical and economic responsibility while projecting, developing, using and maintenance of complex software systems. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design, development and leading software projects including their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Software engineering
  • Scientific-research field: Engineering and Technology
  • Category: Information engineering
  • Sub-category:Software engineering
  • 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 in the second semester there are fewer courses and the rest of the time 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. 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 if 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 computer science and engineering in the field 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: List of introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Probability and statistics

VII

6 -
 2  Web design VII 6 -
 3

 Elective course 1

VII

6

-

 4

 Elective course 2

VII

6

-

 5

 Elective course 3

VII

6

-

 6  Information systems VIII  6 -
 7  Elective course 4 VIII 6 -
 8  Elective course 5 VIII 6 -
 9  Elective course 6 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

 Distributed computer systems

VII

6  Computer networks and Databases
 2  Artificial intelligence VII 6 -
 3

 Computer graphics

VII

6

-

 4

 Network programming

VII

6

-

 5

 Web-based systems

VII

6

Network programming

 6  Software project management VII 6  -
 7  Advanced processor architectures  VII 6 -
 8  Embedded computer systems VII 6 Computer architectures 
 9  Network software VII 6
10   Programming project VII 6
11   Visualization VII 6
12   Image processing VIII 6
13   E-commerce and M-commerce VIII 6
14   Public mobile networks VIII 6 Network programming 
15   Geographic information systems VIII 6
16   Virtual reality VIII 6
17  Computer animation VIII 6
18  Computer security and protection VIII 6 -
19  Multimedia systems VIII 6  Distributed computer systems
20  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Software engineering can be found at this link.

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 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.

Computer networks and e-technologies (3+1+1)

Computer networks and e-technologies (3+1+1)

1. General information 
 
The goal of the computer networks and e-technologies master studies is to provide top quality European education and training for ICT engineers. The studies offer deeper and specialized knowledge about computer networks and e-technologies. Upon completion of this master study programme the ICT engineers are expected to take up responsible higher level positions in the business and engineering processes of planning, design, managing and monitoring of computer networks. They are also expected to be able to efficiently and effectively employ various state of the art e-technologies and fully understand their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Computer networks and e-technologies master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category: Communication engineering and 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 in the second semester there are fewer courses and the rest of the time 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. 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 computer science and engineering in the field of computer networks and e-technologies
 
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 -
 2  Network operating systems 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

-

 7

 Information systems

VIII

6

-

 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 -
 2  Artificial intelligence VII 6 -
 3

 Network programming

VII

6

-

 4

 Web-based systems

VII

6

Network programming

 5

 Advanced processor architectures

VII

6

-

 6  Embedded computer systems VII 6 -
 7  Network software VII 6 -
 8  Introduction to microprocessors VIII 6 -
 9  Wireless computer networks VIII 6
10   Network standards and devices VIII 6
11   Sensor systems VIII 6
12   E-commerce and m-commerce VIII 6
13   Design of embedded computer components VIII 6
14   Public mobile networks VIII 6
15   Computer network management VIII 6
16   Computer security and protection VIII 6
17  Mobile information systems VIII 6
18  Geographic information systems VIII 6 -
19  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Computer networks and e-technologies 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.

Content-based Retrieval (3+1+1)

Content-based Retrieval (3+1+1)

1. General information
 
Master studies in content-based retrieval (multimedia data engineering) will enable students to understand and develop advanced algorithms and techniques for analyzing, indexing and comparing the contents of different data types including the latest technologies in the areas of databases and computer intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Content-based retrieval master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and informatics
  • Sub-category:information processing
  • 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 in the second semester there are fewer courses and the rest of the time 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. 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 computer science and engineering in the field of content-based retrieval
 
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  Linear transforms VII 6 Mathematics 2 
 2

 Probability and statistics

VII

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

 WAN networks

VIII

6

 Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 3 VIII 6 -
 9  Elective course 4 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

 Web-based systems

VII

6

Network programming

 5  Web design VII 6
 6  Visualization VII 6 Object-oriented programming 
 7  Geographic information systems VIII 6 Databases 
 8  Virtual reality VIII 6 Human computer interaction 
 9  Mobile information systems VIII 6 Databases and Distributed computer systems
10  Computer animation VIII 6 Computer graphics
11  Intelligent information systems VIII 6 Databases 
12  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Content-based retrieval can be found at this link.

Bioinformatics (3+1+1)

Bioinformatics (3+1+1)

1. General information
 
Master studies in bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analysis, indexing, retrieval and use of data from biological databases, and modeling of events and processes that occur at the level of cell,organ or organism, including the latest technologies in the areas of databases, molecular biology, genetics and machine Intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Bioinformatics master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and 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)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time 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. 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 computer science and engineering in the field of bioinformatics 
 
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  Linear transforms VII 6 Mathematics 2 
 2

 Probability and statistics

VII

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

 WAN networks

VIII

6

Computer networks

 7

 Information systems

VIII

6

Databases

 8  Elective course 3 VIII 6 -
 9  Elective course 4 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

 Web-based systems

VII

6

Network programming

 5  Web design VII 6
 6  Visualization VII 6 Object-oriented programming 
 7  Geographic information systems VIII 6 Databases 
 8  Virtual reality VIII 6 Human computer interaction 
 9  Mobile information systems VIII 6 Databases, Distributed computer systems
10  Computer animation VIII 6 Computer graphics
11  Intelligent information systems VIII 6 Databases 
12  Biocybernetics VIII 6 Artificial intelligence 
 
2.1 Studies
 
Courses for the Master studies for the study programme Bioinformatics can be found at this link.

System on chip TEMPUS (3+1+1)

System on chip TEMPUS (3+1+1)

1. General information 
 
The goal of the system on chip master study programme is to provide top quality European education and training for the ICT engineers. The study programme provides deeper and specialized understanding of the embedded systems and the methodologies for system on chip design. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design and management of embedded systems implemented with various state of the art technologies.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: System on chip master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category:Computer hardware andarchitecture 
  • 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 in the second semester there are fewer courses and the rest of the time 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. 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 computer science and engineering in the field of system on chip 
 
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  
 2  Embedded computer systems VII 6  
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5

 Elective course 3

VII

6

 

 6

Introduction to microprocessors

VIII

6

 

 7  WAN networks VIII 6  
 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  
 2  Artificial intelligence VII 6  
 3

 Network programming

VII

6

 

 4

 Web-based systems

VII

6

Network programming

 5  Advanced processor architectures VII 6  
 6  Network software VII 6  
 7  Network operating systems VII 6  
 8  Wireless computer networks VIII 6  
 9  Network standards and devices VIII 6  
10  Sensor systems VIII 6  
11  E-commerce and m-commerce VIII 6  
12  Design of embedded computer components VIII 6  
13  Public mobile networks VIII 6  
14  Computer network management VIII 6  
15  Computer security and procection VIII 6  
16  Mobile information systems VIII 6  
17  Geographic information systems VIII 6  
18  Biocybernetics VIII 6  
19  Information systems VIII 6  
 
2.1 Studies
 
Courses for the Master studies for the study programme System on chip TEMPUS can be found at this link.

New opportunities for students of all programmes - Business Accelerator UKIM (BAU) under the initiative of the European Institute of Innovation and Technology (EIT) announces open applications for the upcoming startup support/acceleration programmes.

EIT Jumpstarter offers access to the largest innovation network of EIT Communities for young entrepreneurs with innovative ideas who want to jumpstart their businesses.

If you are part of a scientific project team, innovator, scientist, PhD student or master’s student with a product or service idea to improve the existing markets in healthcare, agri-food, raw materials, energy, urban mobility or manufacturing sectors then EIT Jumpstarter is ideal for you. Through the programme, you will get the opportunity to work on bringing your idea out of the lab to the market.

During the 8-month duration, you will find and fit the best business model for your innovative idea. The courses build on the lean start-up methodology from Silicon Valley translated to the European Environment. To refine your deal you will learn market segmentation, customer value proposition, financials, investment basics, and legal basics.

You will receive travel and accommodation support during the programme, and the best teams in each category will have the chance to win a €10,000 money prize.

With the contribution of best-in-class experts, a creative community, and unique know-how, we aim to support idea-holders in turning their ideas into business. We help innovators and entrepreneurs build a viable business model around their innovative product or service idea and validate it. If their business idea is sustainable, we encourage them to register their company.

The deadline for submitting business ideas is April 26th on this LINK.

You can read up more on the programme here, or register for the webinar on April 9th here.

The second edition of the Founders ABCDeep Tech Startup Support Program (2024) focuses on improving the business model and capacity of participating startups, their investment readiness/access to finance potential, and their awareness of the opportunities offered by the Pan-European innovation networks of the EIT KICs.

The Founders ABCDeep Tech Startup Support Program is looking for innovative and unique solutions from deep tech-related areas, such as Advanced Computing, Advanced Manufacturing and Materials, Aerospace, Automotive and Remote Sensing, Artificial Intelligence and Machine Learning, Big Data, Biotechnology and Life Sciences, Communications and Networks, Cybersecurity, Electronics and Photonics, Internet of Things, Semantic Web, Robotics, Semiconductors, Clean Technologies, Virtual Reality, Augmented Reality, Web 3.0, Blockchain and other.

The maturity of technology should be on at least TRL3.

Participation requirements:

  • Only startups from the WB economies (Montenegro, North Macedonia, Serbia, Albania, Bosnia and Herzegovina and Kosovo*) and Hungary can apply, which are legally registered entities established after 2015 (or to be registered at the duration of the program).
  • Startups wishing to apply must submit their application online on the following LINK, by April 19th 2024 at 11:59 pm CET.

The online program duration will be from 7 May 2024 - 5 July 2024.

The second edition of the program will offer an award of up to EUR 10,000 to the best-performing startup(s).

About 10 applicants will be selected to take part in the online startup support program. For more information about this programme, you can read more about the details here, or contact us at accelerator@ukim.edu.mk

1
  
Python Developer 
 
Stonebranch builds dynamic IT automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation, helping organizations achieve the highest possible Return on Automation. No matter the degree of automation, Stonebranch software is simple, modern, and secure. Using its universal automation platform, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Alpharetta, Georgia with points of contact and support throughout the Americas, Europe, and Asia, Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions. 
  
The candidate will join our Technology Business Unit in Skopje, contributing to the whole growth and adoption of our Universal Automation Platform by extending its integration capabilities and enabling our customers to automate “everything and everywhere”. 
  
 
Your Part in this Growth Story: 
 
Stonebranch Marketplace is evolving enabling our customers who build DevOps, DataOps, and any type of IT orchestration to integrate with any cloud services and cutting-edge applications such as GitHub, Kafka, Elastic, Terraform, Kubernetes, Docker, Databricks, Snowflake, Slack, Jenkins, etc. 
  
Stonebranch’s Solutions Extension Development team is searching for a Software Engineer who’s interested in designing and building amazing, impactful Universal Automation Connectors that will extend the integration capabilities of our Universal Automation Platform. 
  
The position is best suited for a professional interested in the automation or systems integration fields, who has a successful track record in building solutions through Python while being an organic member of an agile team. 
  
This will be a hybrid position – 3 days/wk onsite and 2 days/wk remote – and will report to the Manager for Solution Engineering. 
  
 
What you will be doing: 
 
As a software engineer, you will design, build, test, document and maintain the next generation of universal automation platform connectors leveraging the Universal Extension capabilities. 
You will maintain, support, and extend the rolled-out software components. Apply technical expertise to investigate and resolve software issues (troubleshooting & bug fixing). 
You will work based on CI/CD DevOps practices and that involves testing automation and automated deployments. 
 
You as well as the rest of the team are responsible for the team deliverables. You need to make sure your tasks are timely implemented and delivered with good quality following best practices. 
You will be an organic agile team member. You will communicate efficiently with your peers to make sure that the work executed is aligned with the scope of the user stories and with the technological guidelines. 
You will meet team and company targets, by working collaboratively and establishing fruitful and joyful communication with your peers. 
 
 
What You Will Bring to the Team: 
 
Bachelor’s degree or higher in Computer Science 
Good knowledge of Python. 
Understanding and experience in Unit Testing, OOP, and design patterns. 
Experience with basic programming concepts (IPC, Multithreading, Shared Memory, Network Programming, Filesystem) and good understanding of operating systems and how they interact with processes. 
Experience with Windows & Linux platforms, and Unix Shell scripting. 
Experience with Git. 
Excellent written and verbal communication (English). 
Demonstrating passion in excellence, determination, ownership of delivered work, and accountability. 
A big appetite and curiosity for automation and learning new technologies. 
Ego-free attitude — we are here for the success of the Team. 
 
  
Bonus Points: 
 
Prior professional experience in Python and Python Unit Testing. 
Prior participation in open-source projects. 
Experience with SQL and relational databases. 
Experience with test automation frameworks such as Robot. 
Experience mentoring other engineers, conducting code reviews, pair programming, etc. 
  
  
Why You'll Love Stonebranch: 
 
Competitive compensation 
Health insurance and pension plan 
Great company culture 
Regular social events 
Work in a motivated, experienced, and international team of top performers 
 
Continuous professional development 
 
If you are interested in this position, please send your CV to hr@stonebranch.com
 
We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class. 
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Internet Technologies (3+1+1)

1. General Information

 

Postgraduate studies in Internet technologies aim to provide quality and top European education and training of ICT engineers with deep knowledge of Internet networks, technologies and security. Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, design, management and security of Internet networks and work with various types of the latest technologies, including their business aspects.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: academic second cycle studies in Internet technologies
  • Scientific-research area: technical-technological
  • Field: Computer Engineering & Informatics
  • Area: Information Systems and Networks
  • The value of postgraduate studies is 60 ECTS   or 120 ECTS credits
  • Duration of studies: 2 or 4 semesters.
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • The first semester consists of subjects, while the second has a smaller number of subjects and is reserved for the final project, ie. for the master's thesis.
  • Admission Requirements : Completed undergraduate studies in the field of informatics or computer technology and informatics with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 mandatory and 1 elective, which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and a final project of 18 ECTS
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4
  • The academic title or degree obtained after graduation is

 

- Master in Information Science and Computer Engineering in the field of Internet Technologies

 

2. Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ Subject Semester ECTS
1 mandatory subject 1 of Table 2 VII 6
2 mandatory subject 2 of Table 2 VII 6
3 mandatory subject 3 of Table 2 VIII 6
4 mandatory subject 4 of Table 2 VIII 6
5 Elective course 1 1 VII 6
6 Elective 2 1 VII 6
7 Elective course 3 1 VII 6
8 Elective 4 1 VIII 6
9 Elective course 5 1 VIII 6
10 Selection from the university list of free courses VIII 6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with postgraduate studies in intelligent systems. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2:   List of items

РБ Code / Subject Semester ECTS Prerequisite2
1 CSEW513   Distributed Systems VII 6 Computer Networks, Algorithms and Data Structures
2 CSEW519   Mobile platforms and programming  VII 6 Object-Oriented Programming
3 CSEW702   Web based systems  VII 6 Network Programming
4 CSEW303   Probability and Statistics  VII 6 Calculus 1, Discrete Mathematics 2
5 CSEW504   Network Services Administration VII 6 Computer Networks, Operating Systems
6 CSES609   Computer Network Design  VIII 6 Computer Networks
7 CSES405   Wireless mobile systems  VIII 6 Computer Networks
8 CSES618   Network Security  VIII 6 Computer Networks, Operating Systems
9 CSES633   Networking VIII 6 Computer Networks
10 CSES612   Electronic & Mobile Commerce  VIII 6 Internet programming

 

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

 

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester). p>

 

3. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester З / И ECTS
1 IT-Z-01 Network Analysis IX З 6
2 IT-Z-02 Advanced mobile and web applications IX З 6
3 IT-Z-03 Internet Security and Privacy IX З 6
4 Elective IX И 6
5 Elective IX И 6
6 IT-Z-04 DevOps for networking  X З 6
7 Elective X И 6
8 Master Thesis X З 18

 

At least one elective should be chosen from the offered electives in Table 4. At most one of the electives can be chosen from the University list of master's degree programs. A maximum of two electives can be selected from the courses offered at the other postgraduate studies at the Faculty of Information Sciences and Computer Engineering.

 

Table 4: Electives

РБ New code /   Subject < / span> Semester ЕКТС
1 IT-I-01   5G communication networks IX 6
2 IT-I-02   Parallel processing IX 6
3 IT-I-03   ICT Management  IX 6
4 IT-I-04   E-business IX 6
5 IT-I-05   Data visualization IX 6
6 IT-I-06   Network penetration testing  IX 6
7 EI-I-07   Client server programming paradigms X 6
8 IT-I-08   Digital Marketing  X 6
9 IT-I-09   Advanced Distributed and Parallel Systems IX 6
10 IT-I-10   IX 6
15 IT-I-15   Advanced Topics in Computer Architecture X 6
16 IT-I-16   Security incident and response management  IX 6
17 IT-I-17   Cyber threat intelligence X 6
18 IT-I-18   Data Science IX 6
19 IS-I-04   Mobile web services IX 6
20 IS-I-17   Collaborative computer systems X 6
21 PS-I-08   Linked Open Data X 6
22 PS-I-05   Smart grid IX 6

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .