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Computer Sciences (4+1)

Computer Sciences (4+1)

1. General information
 
The Postgraduate Studies in Computer Science are committed to excellent European education. We train highly skilled professionals who will be able to meet the needs of both IT companies and leading-edge scientific research institutions in the country and abroad.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE (FINKI)
  • Study programme: Academic master studies in Computer Science
  • Scientific Research Area: Natural Sciences and Mathematics
  • Scientific-research field: Informatics
  • Category: Information systems and programming, integrated computing methods and applications, algorithms, optimization, simulation, software development and databases.
  • 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 + 1 elective course (the elective course can be chosen from the courses list offered by the University)
  • Second semester: 3 elective courses (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 are 4. 
Degree: Master of computer science and engineering in the field of Computer Science 
 
2. Studies
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS
 1   assoc. prof. Ana Madevska Bogdanova, assoc. prof. Marija Mihova, assist. prof. Anastas Mishev, assist. prof. Boro Jakimovski

 Advanced algorithms

IX

 6
 2  assist. prof. Boro Jakimovski, elect. assist. prof. Jasen Markovski  Formal methods IX 6
 3  prof. Vancho Kusakatov, prof. Margita Kon-Popovska, assist. prof. Vesna Dimitrievska Ristovska

 Optimization

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

X

6
 6    Elective course X 6
 7    Elective course X 6
 

Табови

д-р Соња Гиевска

30/03/2022
  1. Product Operations

Natural Intelligence is a global leader in the online comparison market. Our goal is to simplify decision-making and connect customers with valuable brands.

Our technology helps millions of consumers around the world make smarter, more confident buying decisions. We do so by creating trusted comparison websites that enable consumers to easily compare products and services online and form high-value relationships with the brands they choose. Our partner brands, some of which are among the most prominent websites worldwide, utilize our platform to maximize their online presence.

We are seeking a highly motivated team player to join our R&D operations team which is responsible for the company’s sites management and maintenance through our CMS & rules platform.

Responsibilities

Upload content to our sites, using CMS
Change sites by implementing visual elements
Maintaining user segments and a/b tests on our sites, based on rules system
Interfacing with multiple departments such as R&D, Content, BIZ-Dev, Studio and Product
Working in an Agile team and Agile environment

Qualifications:

1-2 years of work experience
Good English – writing and speaking
Knowledge of HTML and CSS
Detail-oriented, meticulous, and very organized
Can work in fast pace & dynamic working environment
Problem solving abilities
 

What can we offer?

Private insurance.

Nice office in the center of the city.

Membership for fitness.

Special employee surprises every month

All interested candidates should send their CV’s at jobs@matrix-global.net

 

  1. Junior QA

Natural Intelligence is a global leader in the online comparison market. Our mission is to simplify decision-making and match customers with valuable brands.

Our technology helps millions of consumers around the world make smarter, more confident buying decisions. We do so by creating trusted comparison websites that enable consumers to easily compare products and services online and form high-value relationships with the brands they choose. Our partner brands, some of which are among the most prominent websites worldwide, utilize our platform to maximize their online presence.

Responsibilities:

Providing effective test coverage that corresponds to given requirements
Identifying, recording and tracking bugs
Collaborating with Developers, QA and Team Leads, Product Owner, Business Analysts and Studio to identify system requirements
Automation tests monitoring and support

Requirements:

Upper-Intermediate English (both spoken and written)
Strong knowledge of testing principles and techniques
Experience in writing test plans, test cases and bug reports (in English)
Experience in Web testing
Basic HTML and CSS knowledge
Analytical thinking
Soft skills requirements :

Well-organized and detail-oriented person with good communication skills, who is ready to become a great team player.

Will be a plus:

Experience working with Jira and Monday.com
Some experience with Jenkins and testim.io platform
Knowledge of JavaScript
Experience working in a team

What can we offer?

Private insurance.

Nice office in the center of the city.

Membership for fitness.

Special employee surprises every month.

Happy hour party.

All interested candidates should send their CV’s at jobs@matrix-global.net

1

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
 
 

Computer Sciences (3+1+1)

Computer Sciences (3+1+1)

1. General information
 
The Postgraduate Studies in Computer Science are committed to excellent European education. We train highly skilled professionals who will be able to meet the needs of both IT companies and leading-edge scientific research institutions in the country and abroad.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE (FINKI)
  • Study programme: Academic master studies in Computer Science
  • Scientific Research Area: Natural Sciences and Mathematics
  • Scientific-research field: Informatics
  • Category: Information systems and programming, integrated computing methods and applications, algorithms, optimization, simulation, software development and databases.
  • 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 + 1 elective course (the elective course can be chosen from the courses list offered by the University)
  • Second semester: 3 elective courses (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 are 4. 
Degree: Master of computer science and engineering in the field of Computer Science 
 
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 Calculus 2 (Mathematics 2)
 2  Calculus 3 VII 6 Calculus 2
 3

 Databases 2

VII

6

Databases
 4  Elective course 1  VII  6  
 5  Elective course 2  VII  6  
 6

 Discreet structures 3

VIII

6

Discreet strucutres 1
 7

 Information systems

VIII

6

Software engineering, Databases
 8  Algorithms VIII  6 Object oriented and visual programming
 9  Elective course 3 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

 Modeling and simulation with visualization

VII

 6 Object oriented and visual programming, Probability and statistics or Statistics
 2  Formal languages and automata VII 6 Discreet structures 2
 3

 Operations research

VIII

6

Probability and statistics or Statistics
 4

 Analyses and logical design of IS

VIII

6

Information sytems
 5

 Compilers

VIII

6

Discreet structures 3, Microprocessors and microcontrollers
 6  Discreet structures 2 VIII  6  Discreet structures 1
 7  Software engineering VIII 6  Object oriented and visual programming
 
2.2 Studies
 
Courses for the Master studies for the study programme Computer sciences can be found at this link. 
11/05/2024

Центар за напредни интердисциплинарни истражувања ЦеНИИс, УКИМ го најавува предавањето:

DNA self-assembly and DNA nanotechnology

Предавач: Проф. д-р Наташа Јоноска
Distinguished University Professor, University of South Florida in Tampa Florida, Fulbright Specialist at FINKI, Research fellow at Center for Advanced Interdisciplinary Research, UKIM

14.05.2024, 18:00, Амфитеатар на ФИНКИ

Модератори: Проф. д-р Ордан Чукалиев, раководител на ЦеНИИс,
проф. д-р Невена Ацковска, ФИНКИ

Предавањето е поддржано од ФИНКИ, Fulbright Specialist Program, Македонска секција на IEEE

 

-------------------------------------------------

DNA self-assembly and DNA nanotechnology 

Abstract: 
Bottom-up self-assembly of DNA nanostructures have been proposed for variety of biotech uses ranging from information storage, to targeted drug delivery or scaffolding for new materials. Engineering predefined building blocks at nano level with various chiralities that assemble in large 3D crystallographic structures is an essential step for both 3D algorithmic assemblies as well as for spatial information storage.  We will discuss some recent developments in the field and will focus on spatial systems as models for information processing at molecular level. The rationally-designed 3D DNA motif, the tensegrity triangle, is the first DNA molecule used to provide DNA crystallographic assemblies. The  possibilities of these building blocks give ever-increasing geometric complexities that form vast arrays of three-dimensional structures. We show a model that explains and predicts which tensegrity triangle structures can form and which chiral topology they can form, left- or right-handed. The theoretical model is also experimentally verified through units designed with incremental rotational steps.

Short biography:

 

Nataša Jonoska is a Distinguished Professor at the Department of Mathematics and Statistics at University of South Florida in Tampa Florida. Her research interests are in theoretical and computational models of molecular self-assembly and molecular biology. She has had extensive research collaborations with experimentalists in molecular biology and structural DNA nano technology. She holds a PhD degree in Mathematical Sciences from the State University of New York in Binghamton NY, USA  and since 2014 she is a Fellow of the American Association for the Advancement of Science. Her work on three-dimensional DNA self-assembly as computing models has been awarded with a Rozenberg Tulip Award in DNA Computing and Molecular Programming by the International Society for Nanoscale Science and Computing. Her work has been/is supported by the National Science Foundation (NSF), National Institute of Health (NIH), the W.M. Keck Foundation and in 2022 she was elected a Simons Fellow in Mathematics. For ten years she served as a Chair of the annual DNA Computing and Molecular Programming conference and co-chaired the annual Unconventional Computing and Natural Computing conference. She also serves on editorial boards of several journals including Theoretical Computer Science, Natural Computing, International Journal of Foundations of Computer Science, and has edited nine books on these topics. In 2021 the Florida section of Mathematical Association of America awarded her with the MAA award for Distinguished College or University Teaching of Mathematics while the journal Theoretical Computer Science published a special issue marking her 60th birthday. She was elected as a foreign member at Macedonian Academy of Sciences and Arts in 2022.

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Табови

д-р Весна Димитрова

Табови

д-р Невена Ацковска