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Резултати од пребарување

01/06/2023

We invite you to join us for a six-day English-taught programme organized by the University of Belgrade – Faculty of Organizational Sciences (FON).

Date: 10-15 July 2023
Location: FON campus in Belgrade, Serbia
Participants: final year undergraduates and master’s students

The programme offers interactive lectures and workshops covering the academic fields of data-science, visual analytics in SAS environment, marketing and sales strategy, finance, business models and design, as well as a full suite of skills in presenting
business solutions, and adjusting to the data-driven approach in business.

For more information and application procedures, please visit

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Intelligent Information Systems (4+1)

Intelligent Information Systems (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: 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. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS
 1   assoc. prof. Slobodan Kalajdziski

 Information systems analysis and design

IX

 6
 2  assoc. prof. Andrea Kulakov  Advanced topics in Artificial Intelligence IX 6
 3  

 Mandatory general-education course

IX

6
 4    Elective course IX 6
 5    Elective course

IX

6
 6  assoc. prof. Vladimir Trajkovikj  Collaborative computer systems X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Content-based Retrieval (4+1)

Content-based Retrieval (4+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. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS
 1   assoc. prof. Slobodan Kalajdziski

 Modeling and representing unstructured data

IX

 6
 2  assist. prof. Ivica Dimitrovski, assist.  prof. Sonja Gievska  Content based indexing and retrieval IX 6
 3  

 Mandatory general-education course

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

IX

6
 6  assist. prof. Igor Trajkovski  Data fusion X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Bioinformatics (4+1)

Bioinformatics (4+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. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS
 1   prof. Sasho Panov  Introduction to molecular biology

IX

 6
 2  assoc. prof. Slobodan Kalajdziski  Bioinformatics algorithms IX 6
 3    Mandatory general-education course

IX

6
 4    Elective course IX  6
 5    Elective course

IX

6
 6  Academian prof. Ljupco Kocarev, prof. Zaneta Popeska  Advanced mathematical and statistical techniques X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

System on chip TEMPUS (4+1)

System on chip TEMPUS (4+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. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS
 1   assist. prof. Igor Mishkovski

 System on chip design techniques

IX

 6
 2  assoc. prof. Vladimir Trajkovikj  Mobile and embedded systems IX 6
 3     Mandatory general-education course

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

IX

6
 6  assoc. prof. Dimitar Trajanov  Developing software for mobile and embedded systems X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX 6
 2    Project management IX 6
 
 

Security, cryptography and coding (3+1+1)

1. General Information

 

Postgraduate studies in Security, Cryptography and Coding aim at a top European education and training staff, which after graduation will be able to meet the needs of the industry.

  • 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 Security, cryptography and coding
  • Scientific-research area: technical-technological sciences, natural-mathematical and sciences
  • Field: Computer Science and Informatics, Informatics
  • Area: Other ( Computer Security, Cryptography, and Coding)
  • 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 consists of subjects and the final project, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in computer science or computer science 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 mandatorycourses and 2 electives, one of which may be from the University list.
  • Second semester: 1 mandatoryand 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 security, cryptography and coding
 

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. The candidate should choose 4 courses from the proposed list, while the other 5 courses can be selected from the other courses offered at the faculty and one of the courses from the university list. If it happens that the candidate has already passed 7 or more of the recommended courses, then he has the right to choose a course from the other courses offered at the faculty.

 

 

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 VIII 6
6 Elective 2 VIII 6
7 Elective course 3 VII 6
8 Elective 4 VII 6
9 Elective 5 VIII 6
10 Selection from the university list of free courses VII 6

 

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 choice of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in Internet technologies. Only one free choice of subject is allowed which is on the university list of subjects for the first year of two-year postgraduate studies.

 

Table 2: List of electives

РБ New Code / Subject Semester ECTS Prerequisite
1 CSEW516 Cryptography  VII 6 Discrete Mathematics 2
2 CSES602   Computer Systems Security VIII 6 Operating Systems
3 CSEW303   Probability and Statistics  VII 6 Calculus 1 (Mathematics 1), Discrete Mathematics 2
4 CSES404   Information Theory with Digital Communications  VIII 6 Probability and Statistics
5 CSEW702   Web based systems  VII 6 no
6 CSEW515   Computer Ethics VIII 6 realized a minimum of 90 ECTS credits
7 CSEW703   Introduction to Pattern Recognition  VII 6 Artificial Intelligence
8 CSES618   Network Security  VIII 6 Data and Computer Communications, Operating Systems
9 CSES405   Wireless & Multimedia Systems VIII 6 Data Computer Communications
10 CSES620   Non-relational databases  VIII 6 Databases

 

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 New Code / Subject Semester З / И ECTS
1 BK-Z-01 Advanced Information Security   IX З 6
2 BK-Z-02 Applied cryptography   IX З 6
3 BK-Z-03 Coding Theory  IX З 6
4 Elective 2 IX И 6
5 Elective 2 IX И 6
6 BK-Z-04 Computer Security   X З 6
7 Elective course 3 X И 6
8 Master Thesis X З 18

 

When choosing the courses, at least one elective course should be chosen from the offered elective courses in Table 4. The remaining elective courses can be selected from courses offered in all directions of the second cycle of studies at the Faculty of Information Sciences and Computer Engineering, and one of the electives can be chosen from the University list of courses of the second cycle of studies.

 

Table 4: Electives

РБ New code /   Subject Semester ЕКТС Fund hours
П | В
1 BK-I-01   Security for mobile and web applications X 6 30 30
2 BK-I-02   Biometric systems   IX 6 30 30
3 БК-И-03 Provable security X 6 30 30
4 БК-И-04 Cryptanalysis  X 6 30 30
5 БК-И-05 Cryptographic Engineering   IX 6 30 30
6 БК-И-06 Cryptographic Protocols   X 6 30 30
7 БК-И-07 Mathematical Logic for Computer Science IX 6 30 30
8 БК-И-08 Advanced Algebraic Structures X 6 30 30
9 БК-И-09 Advanced communication channel coding algorithms X 6 30 30
10 БК-И-10 Applied Information Theory IX 6 30 30
11 БК-И-11 Stochastic Processes IX 6 30 30
12 БК-И-12 Change and Risk Management    IX 6 30 30
  Selection from University List of Free Courses   6 30 30

 

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 .

Intelligent systems (4+1)

1. General Information

 

Postgraduate studies in intelligent systems aim to provide top scientific and research staff to meet the growing demand for highly qualified engineers capable of overcoming the most challenging development, research and process problems. Students in this study program gain knowledge that provides them with great professional flexibility and a wide selection of jobs wherever there is a need to apply problem-solving skills, as well as critical thinking skills, which they will use to solve complex problems. which are in the domain of intelligent systems. Students enrolling and graduating in this field are highly sought after in companies and research centers. In addition to being trained to participate in the development, implementation and maintenance of a variety of applications in the field of intelligent systems, including the business domain, they will have the necessary basis to pursue doctoral studies, as well as to participate in interdisciplinary science projects. and technology.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Course Title: Second Cycle Academic Studies in Intelligent Systems
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Computer Science and Informatics / Informatics
  • Areas: Artificial Intelligence , Intelligent Systems, Databases, Numerical Analysis , < / Algorithms , Information Processing, Data Processing, Robotics, Other .
  • 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).
  • Admission Requirements : According to the competition announced by the university, completed undergraduate studies in information science, computer or related fields 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 first semester of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester : 2 electives, one of 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 - a master's thesis of 18 ECTS. / li>
  • 1 ECTS credit corresponds to 30 hours of total employment.
  • The number of contact hours is 4.
  • The academic title or degree obtained after graduation is

 

-Master of Information Science and Computer Engineering in Intelligent Systems

 

 

2. Studies

Table 3: List of Postgraduate Courses

РБ Subject Semester M / E ECTS
1 Modeling and fusing unstructured data IX M 6
2 Advanced Artificial Intelligence and Machine Learning Topics IX M 6
3 Modern intelligent systems IX M 6
4 Selected from Table 4 IX E 6
5 Selected from Table 4 IX E 6
6 Selected from Table 4 X E 6
7 Selected from Table 4 X E 6
8 Master Thesis X M 18

 

Table 4 shows the electives from the Intelligent Systems study program. In addition to these courses, the student can choose from all elective courses, defined for all study programs, from the second cycle that are serviced by the faculty. It is allowed to choose one elective course from the university list of free elective courses.

 

Table 4: Electives

РБ Subject Semester ECTS Fund hours
1 Analysis and design of information systems IX 6 4 + 0 + 0 + 0
2 Mobile web services IX 6 4 + 0 + 0 + 0
3 Algorithms and programming in robotics IX 6 4 + 0 + 0 + 0
4 Collective Intelligence IX 6 4 + 0 + 0 + 0
5 Intelligent user interfaces IX 6 4 + 0 + 0 + 0
6 Introduction to Financial Engineering IX 6 4 + 0 + 0 + 0
7 Ambient intelligence IX 6 4 + 0 + 0 + 0
8 Data-based business decision-making systems IX 6 4 + 0 + 0 + 0
9 Robot systems IX 6 4 + 0 + 0 + 0
10 Content based indexing and search IX 6 4 + 0 + 0 + 0
11 Evolutionary calculation X 6 4 + 0 + 0 + 0
12 Agent-based modeling X 6 4 + 0 + 0 + 0
13 Knowledge-based information systems X 6 4 + 0 + 0 + 0
14 Computational game theory X 6 4 + 0 + 0 + 0
15 Representation and approximate knowledge discovery X 6 4 + 0 + 0 + 0
16 Human-robot interaction X 6 4 + 0 + 0 + 0
17 Computationalparadigms in the Internet of Things X 6 4 + 0 + 0 + 0
18 Mathematical methods in robotics X 6 4 + 0 + 0 + 0
19 Collaborative computer systems X 6 4 + 0 + 0 + 0
20 Sensor-robotic systems X 6 4 + 0 + 0 + 0
21 Intelligent mobile applications X 6 4 + 0 + 0 + 0
22 Multimodal interaction X 6 4 + 0 + 0 + 0
23 Discovering knowledge in big graph data X 6 4 + 0 + 0 + 0

 

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 .

11/07/2022

 

 

 

 

 

Junior Development Program

Apply at: https://www.pelagus-it.com/jobs/junior-development-program/

What it is

It is a well-balanced applications development course that uses a simulation of a real-world project as a means of teaching and learning. It also includes real-world project work, where applicable. It is a paid development program; we offer a monthly compensation during the program completion.

Who we are looking for

Positive, motivated individual with some experience, with a drive to learn, desire for personal progress and long-term cooperation. If you have some of the following skills and knowledge, we look forward to hearing from you:

  • A student of some IT-related faculty course or if you have finished IT-related studies
  • Good conceptual knowledge of object-oriented programming
  • Some knowledge in frontend technologies like JavaScript, JQuery, Bootstrap, Angular, etc.
  • Some knowledge in backend technologies like Java, Spring Boot, PHP, Laravel, .Net, etc.
  • Some knowledge in mobile development, native or Flutter
  • Excellent English knowledge

What we offer

Get yourself an opportunity to work on interesting projects, get new knowledge using the latest tools and technology. Gain different benefits based on your attitude and progress.

  • Guided paid Mentorship program
  • Pleasant agile working environment
  • Hybrid work from home and office
  • Work on international projects with latest tech
  • Competitive salary with rewarding
  • Opportunity for employment after successful completion of the program

 

JAVA Fullstack Developer

Apply at: https://www.pelagus-it.com/jobs/java-fullstack-developer/

Who we are looking for

Positive, motivated individual, with a drive to learn, desire for personal progress and long-term cooperation. If you have some of the following skills and knowledge, we look forward to hearing from you:

  • Good conceptual knowledge of object-oriented programming
  • At least 1 year of work experience in applications development
  • Backend technologies and tools like Java, Spring Boot, Hibernate, etc.
  • Frontend technologies like JavaScript, TypeScript, JQuery, Bootstrap, CSS, Angular, React, VUE.js, D3.js etc.
  • Web services (REST/SOAP)
  • Experience with relational databases such as Oracle, SQL Server, PostgreSQL and MySQL
  • Excellent English knowledge

The following skills are nice to have, but not a requirement:

  • Experience and knowledge in mobile development, native or Flutter
  • Experience and knowledge in .NET, ASP.NET, C #
  • Experience with Scrum methodology and Agile tools
  • BS in Computer Science or related

What we offer

Get yourself an opportunity to work on interesting projects, get new knowledge using the latest tools and technology. Gain different benefits based on your attitude and progress.

  • Pleasant agile working environment
  • Better work-life balance with hybrid work from home and office
  • Work on international projects with latest tech
  • Guided Mentorship program
  • Competitive salary with rewarding
  • Private health insurance
  • Life insurance with investment
1
04/04/2024

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

Internet Technologies (4+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 Computer Scienses and Engineering - FCSE
  • 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 compulsory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 compulsory 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. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Course Semester M / E ECTS
1 IT-Z-01 Network Analysis IX M 6
2 IT-Z-02 Advanced mobile and web applications IX M 6
3 IT-Z-03 Internet Security and Privacy IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 IT-Z-04 DevOps for networking  X M 6
7 Elective X E 6
8 Master Thesis X M 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 courses can be selected from the courses offered at the other postgraduate studies at the Faculty of Computer Scienses and Engineering.

 

Table 4: Electives

РБ New code /  Course Semester ECTS
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   Internet Infrastructure Management  IX 6
11 IT-I-11   Smart Sensor Networks  X 6
12 IT-I-12   Architectures and services for distribution of video contents X 6
13 IT-I-13   Network Virtualization and Cloud Computing X 6
14 IT-I-14   Network Optimization 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 .