Languages

Did you mean
contact

Search results

Табови

Katarina Trojachanec Dineva PhD.

Почитувани кандидати, ве известуваме дека запишувањето на рангираните кандидати според решението за прием во третиот уписен рок ќе се изврши на 28.09.2018 од 09:00 - 14:30 часот во просториите на ФИНКИ. Потребната документација за запишување може да ја најдете тука <https://finki.ukim.mk/mk/content/%D0%A0%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D0%B5-%D0%B7%D0%B0-%D0%BF%D1%80%D0%B8%D0%B5%D0%BC-%D0%B8-%D0%B8%D0%BD%D1%84%D0%BE%D1%80%D0%BC%D0%B0%D1%86%D0%B8%D1%98%D0%B0-%D0%B7%D0%B0-%D0%B7%D0%B0%D0%BF%D0%B8%D1%88%D1%83%D0%B2%D0%B0%D1%9A%D0%B5-%D0%BD%D0%B0-%D0%BA%D0%B0%D0%BD%D0%B4%D0%B8%D0%B4%D0%B0%D1%82%D0%B8-%D1%81%D0%BE%D0%B3%D0%BB%D0%B0%D1%81%D0%BD%D0%BE-%D1%80%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D0%B5%D1%82%D0%BE-%D0%B7%D0%B0-%D0%BF%D1%80%D0%B8%D0%B5%D0%BC-%D0%B2%D0%BE-3>.

 

Им пожелуваме успех на сите идни студенти на ФИНКИ!

 

Напомена: Рангираните кандидати мора задолжително да се запишат во овие термини, инаку ќе го изгубат добиеното место. 

26/09/2018
Wednesday, September 26, 2018

Компјутерско инженерство (КИ)

Macedonian
Infographics File: 
Image icon ki.jpg
Infographic Thumbnail: 
Description: 
Додипломските студии по Компјутерско Инженерство имаат за цел обезбедување на врвен инженерски кадар за задоволување на се поголемата побарувачка за компјутерски инженери. Студентите на оваа студиска програма се здобиваат со знаења кои им обезбедуваат голема професионална флексибилност и широк избор на работни места секаде каде постои потреба од проектирање, имплементација и одржување на компјутерски системи. Дипломираниот инженер од овој профил својата кариера може да ја гради во индустријата, во јавниот и услужениот сектор, но, особено во компаниите за развој на компјутерски системи, системите што треба да работат во реално време, системите за поддршка на телекомуникациски услуги, услуги базирани на интернет, напредни кориснички интерфејси, апликативни решенија поврзани со дизајн и имплементација на компјутерски системи и друго.
Name: 
Компјутерско инженерство (КИ)
Infographic Link: 
https://finki.ukim.mk/mk/content/%D0%BA%D0%BE%D0%BC%D0%BF%D1%98%D1%83%D1%82%D0%B5%D1%80%D1%81%D0%BA%D0%BE-%D0%B8%D0%BD%D0%B6%D0%B5%D0%BD%D0%B5%D1%80%D1%81%D1%82%D0%B2%D0%BE

Почитувани колеги

во прилог е конкурсот за размена на студенти преку ERASMUS+ програмата за летниот семестар во академската 2022/2023 година.

Сите дополнителни информации може да ги најдете на следниот линк http://ukim.edu.mk/mk_content.php?meni=169&glavno=42

Информации кои не се наведени во рамките на конкурсот или на страницата може да добиете и преку e-mail:

Дополнување: документите спремни според упатството треба да ги предадете во Архивата на ФИНКИ најдоцна до 5.10.2022 до 16 часот.

Дополнување: универзитетите кои се означени со боја и кај кои пишува рано номинирање значи дека треба да ги примат документите многу порано од нашиот термин за конкурирање. Овие универзитети прават отстапки за нашите студенти но бидете спремни ако конкурирате на ваков универзитет дека иако за УКИМ документите треба да ви бидат на македонски треба да имате во моментот и англиска верзија на потребните документи.

08/07/2022
Friday, July 8, 2022

Education with ICT (4+1)

Education with ICT (4 + 1)

Postgraduate studies in Education with ICT aim at top European and world education and training of primary and secondary school educators with the most modern approaches to the acquisition of new knowledge, as well as the use of advanced information technologies. These studies will also enable students in engineering to focus on research in the field of information science education. After graduation, students will be able to more successfully approach the new generations of students in the field of informatics.

 

The ICT Education Studies program is compatible with the relevant studies offered at most of the world's universities that support this theme and enable student mobility. Some of them are:

  1. Institute of Education, University of London, England

http://www.ioe.ac.uk/study/PMM9_ICT9IM.html

  1. Kings College London, England

http://www.kcl.ac.uk/prospectus/graduate/structure/name/computing-in-edu...

  1. University of Edinburgh, UK

http://online.education.ed.ac.uk/content/

  • 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 E ICT duplication
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Informatics
  • The value of postgraduate studies is 60 ECTS credits .
  • Duration of studies: 2 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Admission Requirements : Completed undergraduate studies before ECTS or completed undergraduate studies with a minimum of 240 credits.
  • First semester: three compulsory courses and two elective courses, for a total of 5 courses, one of which can be from the University list (5x6 = 30 ECTS).
  • Second semester: two elective courses and a final project - master's thesis (12 + 18 = 30 ECTS)
  • 1 ECTS credit corresponds to 30 hours of total work engagement.
  • The number of contact hours is 4.

Acquired title:     Master in ICT Education

2. Studies
 

Table 1: List of Postgraduate Courses

 

Code

Name of the subject

Status

Семестар

ECTS

1

ЕДУ-З-01

Modern teaching methods

M

winter

6

2

ЕДУ-З-02

Advanced ICT in education

M

winter

6

3

ЕДУ-З-03

Creating digital educational content

M

winter

6

4

 

Elective course

E

winter

6

5

 

Elective course

E

winter

6

6

 

Elective course

E

summer

6

    7   Elective course E summer             6

 

After obtaining 18 ECTS, students have the right to apply for a master's thesis for which after completing it they will win 18 ECTS.

2.1 Electives

Configure
The student can choose a subject from the list of offered elective subjects from all study programs of the second cycle of studies. The list of offered elective courses can be found at  link  .
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

Табови

Slobodan Kalajdzhiski Ph.D.

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 .

Табови

д-р Слободан Калајџиски

 On behalf of Eurostat, we are pleased to announce the final round of the European Statistics Awards for Web Intelligence, focusing on Multinational Enterprise (MNE) Groups Data: Discovery & Extraction Challenges. Running in parallel, these competitions aim to drive innovation, develop new methodologies, and benchmark approaches for processing web content in MNE Group data analysis.

Both competitions are now open for registration and the deadline for registering is 22 April 2025.

By running both challenges in parallel, the European Statistics Awards Programme aims to enhance MNE Group Data analysis by enabling those participants that develop integrated pipelines to benefit from possible synergies, while also allowing specialised teams to fully focus on either of the two challenges. 

The competition pursues three key goals: driving innovation in web intelligence for statistics, benchmarking approaches for discovering financial MNE Group data sources, and evaluating extraction methods using advanced technologies. This initiative seeks to advance methodologies and improve statistical practices in MNE Group analysis.

We believe that the researchers in your country (in particular data scientists) would be most interested in signing up for this opportunity.  

Teams (1–5 members) will have the opportunity to apply their Web Intelligence expertise and programming skills (particularly in Python and R) to a real-world use case while competing for substantial prizes.

Prizes for each challenge include:

  • €10 000 for first place in the Accuracy Award
  • €10 000 for first place in the Reusability Award
  • €5 000 for first place in the Innovativeness Award

A team securing first place in all three categories can win up to €25 000 per challenge. By achieving the top prize in both challenges, a team could earn a total of up to €50 000.

We would therefore appreciate if you could:  

  • post the announcement (below), flyer ,  a link to the European Statistics Awards homepage on your website; and press release on the Eurostat website; 
  • distribute the announcement (below) and flyer  to your mailing lists  (via a newsletter or a mail message);  
  • share the announcement and flyer  with your research networks;  
  • repost LinkedIn or X announcements with #EUStatisticsAwards, #EUwebIntelligenceAwards  

If you would like to compete yourself please register at https://statistics-awards.eu/accounts/signup/  

 

Announcement  

Eurostat is pleased to announce the final round of the European Statistics Awards for Web Intelligence, with a focus on Multinational Enterprise (MNE) Groups Data: Discovery & Extraction Challenges. Running in parallel, these competitions aim to drive innovation, develop new methodologies, and benchmark approaches for processing web content in MNE Group data analysis.

Both competitions are now open for registration and the deadline for registering is 22 April 2025.

By running both challenges simultaneously, the European Statistics Awards Programme aims to strengthen MNE Group Data analysis by enabling those participants that develop integrated pipelines to benefit from possible synergies, while also allowing specialised teams to fully focus on either of the two challenges. 

The competition focuses on three main objectives: fostering innovation in web intelligence for statistics, benchmarking methods for identifying financial MNE Group data sources, and assessing extraction techniques using advanced technologies. This initiative contributes to refining methodologies and enhancing statistical practices in MNE Group analysis.

Do you know how to code in Python or R? Register by 22 April 2025 and try your chances on your own or with a team of colleagues.

You and your team have the chance to win up to €50 000 by securing first place in all three award categories across both competitions.

The top prize breakdown per competition includes:

  • €10 000 for Accuracy Award
  • €10 000 for Reusability Award
  • €5 000 for Innovativeness Award

Additionally, second and third place prizes are awarded as follows:

  • Accuracy Award: €5 000 (2nd place) | €3 000 (3rd place)
  • Reusability Award: €5 000 (2nd place) | €3 000 (3rd place)
  • Innovativeness Award: €3 000 (2nd place) | €1 000 (3rd place)

By placing first in all three categories in one competition, your team could win up to €25 000, and by doing so in both competitions, you could win a total of €50 000.

For more information on the European Statistical Awards Programme, please refer to the European Statistics Awards website or drop us a line to learn about any further details.  

Many thanks in advance for considering signing up, and for sharing this information,  

 

The European Statistics Awards secretariat  

info@statistics-awards.eu  

https://statistics-awards.eu/

15/04/2025
Tuesday, April 15, 2025