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Ecoinformatics TEMPUS (3+1+1)

Ecoinformatics TEMPUS (3+1+1)

1. General Information

 
Постдипломските студии по еко-информатика се стремат кон врвно европско образование и обучување на кадри, кои по завршувањето на студиите ќе можат да ги задоволуваат потребите на индустријата.
  • Назив на предлагачот: Универзитет „Св. Кирил и Методиј“ во Скопје, Факултет за информатички науки и компјутерско инженерство - ФИНКИ
  • Назив на студиска програма: Академски студии од втор циклус по Еко-информатика
  • Научно - истражувачко подрачје: техничко-технолошки науки
  • Поле: компјутерска техника и информатика
  • Област: еко-информатика
  • Вредноста на постдипломските студии изнесува 60 ЕКТС кредити
  • Траење на студиите: 2 семестри
  • Една академска година се состои од два семестра во траење од 30 недели (1 семестар = 15 недели)
  • Првиот семестар се состои од наставни предмети, додека вториот се состои од наставни предмети и од завршниот проект, т.е. магистерската тема.
  • Услови за запишување на студиите: завршени додипломски студии на информатика или компјутерски насоки кои носат минимум 240 кредити. За студиските насоки кои носат помалку од 240 кредити, се дополагаат испити понудени во воведувачкиот слој.
  • Воведувачки слој: на студентите кои во текот на студиите стекнале помалку од 240 кредити им се нуди множество диференцијални воведувачки предмети. По нивното успешно реализирање, студентот стекнува право да продолжи со втората година на постдипломските студии.
  • Прв семестар: 3 задолжителни предмети и 2 изборни предмети од кои еден може да биде од Универзитетската листа.
  • Втор семестар: 1 задолжителен и 1 изборен предмет, од кои еден може да биде од Универзитетската листа (само доколку во првиот сместар предметите се избрани на ниво на Факултет) и завршен проект од 18 ЕКТС.
  • 1 ЕКТС кредит соодветствува на 30 часови вкупен работен ангажман.
  • Бројот на контактните часови е 4.
Стекната титула: Магистер по информатички науки и компјутерско инженерство од областа на еко-информатика
 
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  Information systems VII 6 Databases
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5

 Elective course 3

VII

6

 
 6

 Geographic information systems

VIII

6

 
 7  Data mining VIII 6  
 8  Elective course 4 VIII 6  
 9  Elective course 5 VIII 6  
10  Elective course 6  VIII 6  
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite
 1

 Distributed computer systems

VII

 6 Computer networks, Databases
 2  Artificial intelligence VII 6  
 3

 Web-based systems

VII

6

Computer networks, Databases
 4

 Embedded computer systems

VII

6

Computer networks
 5  Network programming VII 6  
 6  E-commerce and m-commerce VII 6  
 7 Алгоритми за анализа на податоци и складишта на податоци VIII 6 Databases
 8  Intelligent information systems VIII 6  Information systems
 9  Mobile information systems VIII 6  Information systems 
10  Elective course from University list of available courses   6  
 
2.1 Studies
 
Courses for the Master studies for the study programme Ecoinformatics can be found at this link.

Табови

Ivan Chorbev 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 .

Computer Science (4+1)

1. General Information

 

Postgraduate studies in computer science strive for top European education and training of staff, who after graduation will be able to meet the needs of both commercial companies in the information industry, as well as top scientific research institutions in the country and abroad. .

 

  • 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 Computer Science
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Information Systems and Programming, Computing Integrated Methods and Applications, Algorithms, Optimization, Simulation, Software Development and Databases.
  • The value of postgraduate studies is 60 ECTS   or   120 ECTS   credits.
  • Study time: 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 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory course and 1 elective, which can be from the university list (only if in the first semester the courses 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   Computer Science

 

2. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester M / E ECTS
1 KN-Z-01 Advanced algorithms  IX M 6
2 KN-Z-02 Optimization methods  IX M 6
3 KN-Z-03 Formal methods IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 KN-Z-04 Research methods and writing techniques 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 elective courses 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 Semester ECTS
1 KN-I-01   Modern simulations and modeling  IX 6
2 KN-I-02   Big Data Concepts and Applications IX 6
3 KN-I-03   Database Performance, Reliability and Security IX 6
4 KN-I-04   Complexity Theory and Coding  IX 6
5 KN-I-05   Text-data processing IX 6
6 KN-I-06   Modern trends in parallel processing IX 6
7 КН-E-07      
8 КН-E-08   Big Data Modeling and Management X 6
9 KN-I-09   Bayesian Data Analysis  X 6
10 KN-I-10   Business process mining  X 6
11 IS-Z-02    Advanced artificial intelligence and machine learning  IX 6
12 СE-E-01   Time series analysis and forecasting  IX 6
13 BK-I-07   Mathematical Logic for Computer Science IX 6
14 IT-I-05   Data visualization IX 6
15 IS-I-16   Computational Game Theory  X 6
16 BC-I-08   Advanced Algebraic Structures X 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 .

Табови

д-р Весна Димитрова

Табови

д-р Андреа Кулаков

26/08/2024

Dear Candidates,

To ensure a smooth enrollment process, please be informed that the submission of documents will be conducted according to the schedule based on the first letter of your last name. Kindly adhere to the specified time slots and ensure that you bring all the required documents.

Document Submission Schedule:

August 29, 2024

09:00 - 11:00: Last names from A to V
11:00 - 13:00: Last names from G to J
13:00 - 14:30: Last names from K to O

August 30, 2024

09:00 - 11:00: Last names from P to S
11:00 - 13:00: Last names from T to SH
13:00 - 14:30: For candidates who were unable to attend during the previous time slots
Please be punctual and prepared to facilitate the efficient completion of the enrollment process.

If you have additional questions regarding the enrollment process, you can reach out on our Discord server: https://discord.com/invite/HSDyH55DKH

For the list of required documents, please visit the following page: Required Documents.

1

URBANFLOODS

Body: 

URBANFLOODS: Strengthening Flood Resilience Across the Adriatic-Ionian Region

URBANFLOODS Logo

URBANFLOODS project aims to raise public awareness, suggests guidelines for flood prevention, and provides strategic action plans for the short, medium, and long term. The project is designed to benefit local authorities, communities, policymakers, and the public, who should consider these recommendations for building more flood-resilient cities in the future.

Project info box

  • Name of the project: URBANFLOODS: Strengthening Flood Resilience Across the Adriatic-Ionian Region
  • Source of funding: Interreg IPA-Adrion 
  • Implementation period: from 01/09/2024 to 31/08/2027
  • Total budget€ - 1.747.583,17 € (80% EU contribution - 85% IPA contribution)
  • Website: https://urbanfloods.interreg-ipa-adrion.eu/

Project’s description:

The Adriatic-Ionian region, with its unique geographical and climatic conditions, is increasingly susceptible to severe floods due to the combination of climate change and land use. These events have led to significant geomorphological changes in river channels and, historically, have caused considerable damage to lives, property, agriculture, and tourism infrastructure.

The goal of the URBANFLOODS project is to strengthen urban resilience against the growing threat of floods, particularly targeting rivers and streams in urban areas within the Adriatic-Ionian region. By developing an integrated decision support system in accordance with the EU Floods Directive and an innovative communication and learning platform, the project aims to transform flood management and preparedness.

 

Specific objectives of the project

  • Joint Development of an Integrated Decision Support System (DSS): Involves creating an advanced data-driven system that offers comprehensive solutions for flood management and early warning systems.
  • Strengthening Natural and Civil Protection Mechanisms: Focuses on improving existing strategies for natural and civil protection and introducing new measures to further safeguard the Adriatic-Ionian region from flood risks.
  • Analysis of Established Protocols for Effective Practices, Transnational Strategies, and Action Plans: A process that includes identifying, documenting, and adopting successful flood management strategies and action plans, which can serve as a reference for other regions facing similar challenges.
  • Education of Local Communities: Aims to enhance the understanding of flood risks among local communities by encouraging a culture of "preparedness" and promoting proactive measures to mitigate potential impacts.

Main expected results

  • Unified DSS: A single, integrated DSS will enhance the capacity of local authorities to mitigate urban flood risks and increase urban resilience by offering sophisticated, data-driven flood management solutions. This unified DSS will be validated and demonstrated across nine different pilot locations.
  • Transnational URBANFLOODS Strategy: A comprehensive transnational strategy will be established to achieve efficient and effective flood management. This strategy will provide a shared vision, goals, objectives, policies, actions, and measures, all based on a data-driven approach.
  • Three Action Plans: Three action plans will be developed to translate the transnational strategy into actionable steps. These plans aim to enhance knowledge and support decision-making across three key categories of institutions: (1) local/regional authorities, (2) civil protection agencies, and (3) national authorities.
  • Memorandum of Cooperation: A formal agreement among partners to continue collaboration post-project completion. This memorandum will promote knowledge exchange and the transfer of best practices among partners and relevant stakeholders, increasing the visibility of project outcomes to support future synergies and raise public awareness and preparedness, thereby maximizing the project's potential impact.

PARTNERS

  • University of Western Macedonia, Department of Electrical and Computer Engineering – Greece (EL) – Lead Partner
  • Hydro-engineering Institute Sarajevo – Bosnia and Herzegovina (BA)
  • Development centre Murska Sobota – Slovenia (SI)
  • Macerata Municipality– Italy (IT)
  • Regional development agency Backa – Serbia (RS)
  • Municipal Enterprise for Water Supply and Sewerage of Kozani – Greece (EL)
  • Hydrowater-Albania sh.p.k – Albania (AL)
  • Rijeka Development Agency Porin Ltd. – Croatia (HR)
  • Faculty of  Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje – North Macedonia (MK)
  • EuroMediterranean Center for the Sustainable Development – SVI.MED NPO – Italy (IT)
  • Center for Knowledge Management CKM – North Macedonia (MK)

Associated partners

  • Municipality of Scicli  –  IT
  • Municipality of Modica  –  IT
  • Slovenian Environment Agency (ARSO) – SI
  • Agency for watershed of the Adriatic Sea – BA
  • Water Supply and Sewerage Association of Albania – AL
  • MINISTRY OF ENVIRONMENT AND ENERGY, GENERAL DIRECTORATE FOR WATER – EL
  • Public Water Management Company “Vode Vojvodine” – RS
  • Municipality of Kozani – EL
  • Centre for Crisis Mangement – MK
  • Institute of Sustainable Development and Management of Natural Resources-UCRI TEMENUS UOWM – EL
  • Public Institution for protected area management in the Primorje-Gorski Kotar County – HR

Pilot sites

  • Siopoto - Greece
  • Matica river - Bosnia & Herzegovina
  • Ledava river - Slovenia
  • Fosso Narducci - Italy
  • Modica-Scicli torrent - Italy
  • Karaš river - Serbia
  • Tirana river - Albania
  • Rjecina river - Croatia
  • Kriva Reka river - North Macedonia

Крива Река

News

Contacts

The URBANFLOODS project is co-funded by the European Union through the Interreg IPA ADRION Programme.