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Internet Technologies (3+1+1)

1. General Information

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

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

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

2. Introductory layer

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

Table 1: List of introductory layer items

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

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

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

Table 2: List of items

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

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

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

3. Studies

Table 3: List of Postgraduate Courses

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

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

Table 4: Electives

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

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

Smart connected systems (3+1+1)

1. General Information

Postgraduate studies in smart connected systems aim to provide quality and top European education and training to ICT engineers with in-depth knowledge of smart systems connected via the Internet of Things (IoT). Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, design, programming, management, testing and monitoring of smart IoT systems and work with various types of the latest embedded technologies, including new IoT business aspects. >

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

- Master in Information Science and Computer Engineering in the field of smart connected systems

2. Introductory layer

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

Table 1: List of introductory layer items

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

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

Elective courses can be selected from the proposed list of courses of the study program, Table 2, or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The 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 items

РБ	New Code / Subject	Semester	ECTS	Prerequisite²
1	CSEW705 Innovation in ICT	V	6
2	CSEW502 Microprocessor Systems	V	6
3	CSES627 Sensor Systems	VI	6
4	CSEW525 Personal and Ad Hoc networks	V	6
5	CSES813 ARM architecture	VIII	6
6	CSES604 Embedded Computer Systems	VI	6
7	CSES608 Digital Signal Processing	IV	6
8	CSES405 Wireless mobile systems	VI	6
9	CSEW702 Web based systems	VII	6
10	CSEW519 Mobile platforms and programming	VII	6

3. Studies

Table 3: List of Postgraduate Courses

РБ	Subject	Semester	З / И	ECTS
1	Building the Internet of Things and Security	IX	З	6
2	Acquisition and data processing systems	IX	З	6
3	Smart City	IX	З	6
4	Elective	IX	И	6
5	Elective	IX	И	6
6	Developing IoT applications and IoT platforms	X	З	6
7	Elective	X	И	6
8	Master Thesis	X	З	18

The following table shows the electives from the study program

Table 4: Electives

РБ	New code / Subject	Semester	ЕКТС
1	PS-I-01 Data Analysis from Related Systems	X	6
2	PS-I-02 Sensory data fusion	IX	6
3	ПС-И-03 Smart mobility	X	6
4	ПС-И-04 Smart contracts in IoT	IX	6
5	PS-I-05 Smart Energy Networks	IX	6
6	ПС-И-06 Smart and connected healthcare	X	6
7	PS-I-07 IoT for Environmental Systems	IX	6
8	PS-I-08 Open & Related Data	X	6
9	ПС-И-09 Smart production and monitoring systems	X	6
10	PS-I-01 Smart Financial Systems and Stock Exchange	IX	6
11	IT-I-01 5G: Fifth Generation Wireless Mobile Systems	IX	6
12	ИТ-И-04 E-business	IX	6
13	ИТ-И-11 Smart Sensor Networks	X	6
14	IT-I-13 Network Virtualization and Cloud Computing	X	6
15	ИТ-И-18 Data Science	IX	6
16	ИС-И-21 Sensor-robotic systems	X	6
17	СИ-И-01 Time series analysis and forecasting	IX	6
18	EI-Z-03 Implementation of Geographic Information Systems	X	6

The student can choose a course 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 .

Statistics for data analysis (3+1+1)

1. General Information

This program is designed to train staff with solid statistical knowledge with a focus on the newly recognized field of data science. The curriculum combines rigorous statistical theory with broader practical experience in applying statistical models to data work. Graduates will be in high demand. Most students are expected to be employed as statisticians, analysts and data experts within private and public institutions providing statistical consultations.

Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
Title of the study program: Second cycle academic studies in Statistics for Data Analysis
Scientific-research area: technical-technological / natural mathematical
Field: Informatics / Mathematics
Areas: Mathematical Statistics and Operations Research, Data Processing, Applied Mathematics and Mathematical Modeling, Programming, Artificial Intelligence, Algorithms, Information Processing .
The value of postgraduate studies is 120 ECTS credits.
Duration of studies: 4 semesters .
One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
Requirements for enrollment : according to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 180 credits.
Introductory Layer : The introductory layer is the first two semesters in which students 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.
Third semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
Fourth semester : 1 Mandatory course and 1 elective course, the elective course can be from the University list (only if in the first semester the courses are selected at the Faculty level) and the final project - master's thesis from 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 upon completion of the studies is Master of Science in Information Science - Statistics for Data Analysis

Master of Science in Informatics - Statistics for Data Analytics

2. Introductory layer

The first year of study is the introductory layer for students whose studies lasted less than four years, ie students who gained 180 credits from previous studies. Students must pass differential exams that will enable them to enter the basics of mathematics and computer science needed to successfully complete their studies.

Table 1: List of subjects in the first year of study

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

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

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

Table 2: List of recommended courses in the first year of study

РБ	New code / Subject	Semester	ECTS
1	F18L1W011 Discrete Mathematics	VII / VIII	6
2	F18L1S013 Calculus	VII	6
3	F18L2W006 Probability and statistics	VII	6
4	F18L3W035 Linear Algebra and Applications	VII	6
5	F18L3W008 Introduction to Data Science	VII	6
6	F18L3W161 Social Networks and Media	VII	6
7	F18L3W108 Internet of Things	VII	6
8	F18L3W004 Databases	VII	6
9	F18L3W068 Computing in the Cloud	VII	6
10	F18L3S036 Machine learning	VIII	6
11	F18L3S150 Data Mining	VIII	6
12	F18L3S163 Statistical Modeling	VIII	6
13	F18L3S157 Data warehousing and analytics	VIII	6
14	F18L1S023 Business Statistics	VIII	6
15	F18L3W076 Introduction to time series analysis	VIII	6

Table 3: List of Postgraduate Courses in Statistics for Data Analysis

РБ	CODE / Subject	Semester	M / E	ECTS
1	SNP-Z-1 Data analysis with statistical packages	IX	M	6
2	SDP-Z-3 Bayesian data analysis	IX	M	6
3	SDP-Z-4 Data preparation and research	IX	M	6
4	Elective item from Table 4	IX	E	6
5	Elective item from Table 4	IX	E	6
6	SNP-Z-2 Regression Models	X	M	6
7	Elective item from Table 4	X	E	6
8	Master Thesis	X	M	18

Table 3 lists the electives from the Statistics for Data Analysis 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 subject from the university list nand free electives.

Table 4: Optional list of offered items

РБ	New code / Subject	Semester	ECTS
1	Methods of statistical locking	IX	6
2	Concepts and application of big data	IX	6
3	Analysis and forecasting time series	IX	6
4	Advanced algorithms	IX	6
5	Modeling and fusing	IX	6
6	Information Processing in Biological Systems	IX	6
7	Analysis of data from related systems	IX	6
8	Text Data Processing	IX	6
9	Optimization methods	IX	6
10	Data processing in bioinformatics	IX	6
11	Network Analysis	IX	6
12	Ambiental intelligence	IX	6
13	Web of the Future	IX	6
14	Statistical Programming	X	6
15	Statistical Learning	X	6
16	Multidimensional statistical analysis	X	6
17	Numerical methods for data science	X	6
18	Statistical research skills: editing , reporting and visualization of data	X	6
19	Business Analytics	X	6
20	Random processes	X	6
21	Big Data Modeling and Management	X	6
22	Discovering knowledge in big graph data	X	6
23	Open and related data	X	6
24	Modern Simulations and Modeling	X	6
25	Computational paradigms in the Internet of Things	X	6
26	Data analysis from mobile sensors / sources	X	6
27	Intelligent mobile applications	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

Summary

ivan.chorbev@finki.ukim.mk

Summary

He was born in 1980 in Ohrid. He earned his bachelor and master degrees at the Faculty of Electrical Engineering in Skopje in 2004 and 2006. He completed his PhD studies at the Faculty of Electrical Engineering and Information Technologies in Skopje in 2009. During his studies he has been continually awarded for excellent performance. As the best student of his generation he has been awarded by the Faculty, University Ss. Cyril and Methodius and other organizations and foundations, including the Organization of Engineers of Macedonia that awarded him the "Golden engineering ring".
He gained his first professional experience at the Macedonian Telekom – T-Home, at the department for software and web development, during the period 2003-2005. He started working at the Institute for Computer Science and Engineering in the Faculty for Electrical Engineering in Skopje in 2005, initially as a laboratory demonstrator, and then as a junior assistant in 2006. He became an assistant in 2008, and in 2009, after completing his doctoral studies, he became an assistant professor. His teaching commitments included lectures in Structured Programming, Object-oriented programming, Programming Methodologies, Web Design, Computer Graphics, Computer Animation etc.
In his research work up until 2011 he has participated in more than 35 scientific papers in books, magazines and conference proceedings. The fields of his research interests include combinatorial optimization, heuristic algorithms, constraint programming, web development technologies, software testing, application of computer science in medicine and telemedicine, medical expert systems, knowledge extraction, machine learning. He is an author of one university textbook, and a reviewer of another one.
As an IT consultant he has been involved in analysis and development of several Enterprise Resource Planning (ERP) systems, University Information Systems, Web Content Management Systems, Document Management Systems, Online payment systems, Electronic time and attendance systems, banking applications, oil industry software. He has participated as an IT consultant in projects financed by the European Union (FP6, FP7, TEMPUS), non-government organizations (NDI).

Associations

Association Link	Association Name
http://www.ieee.org/	Institute of Electrical and Electronics Engineers - IEEE
http://ict-act.org	Асоцијација ИКТ–АКТ
http://www.etai.org.mk	Друштво за електроника , телекомуникации, информатика и автоматика - ЕТАИ

Books

Title	Publisher
Компјутерски алатки	ЕУРМ

Publications

Title	Place	Country
ASGRT-Automated report generation system	ICT Innovations 2010	Macedonia
ASGRT-Automated report generation system	ICT Innovations 2010	Macedonia
SA Tabu Miner - A Hybrid Heuristic Algorithm For Rule Induction	International Conference on Uncertainty and Robustness in Planning and Decision Makingm	Portugal
An Integrated System for E-Medicine (e-health, telemedicine and medical expert systems)	Ubiquitous Health and Medical Informatics: Advancements in Web 2.0, Health 2.0 and Medicine 2.0
: Efficient Content-based Image Retrieval using Support Vector Machines for Feature Aggregation.	Innovations in Computing Sciences and Software Engineering, Proceedings of the 2009 International Conference on Systems, Computing Sciences and Software Engineering (SCSS)	USA
Building a Wireless Telemedicine Network within a WiMax based Networking Infrastructure	IEEE International Workshop on Multimedia Signal Processing - MMSP`09	Brasil
Applying Bagging Techniques on the SA Tabu Miner Rule Induction Algorithm	ICT Innovations 2009
A Multi-class SVM classifier utilizing binary decision tree	Informatica - An International Journal of Computing and Informatics	Slovenia
Web Based Medical Expert System with a Self Training Heuristic Rule Induction Algorithm	Proc. of The First International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2009	Mexico
Multi-class Classification using Support Vector Machines in Binary Tree Architecture	International Scientific Conference UNITECH`08	Bulgaria
Rule Induction In Medical Data With Hybrid Heuristic Algorithms	Information Society 2008, 11th International multiconference	Slovenia
WiMAX Supported Telemedicine as Part of an Integrated System for E-Medicine	30th International Conference on Information Technology Interfaces	Croatia
, Wireless Telemedicine Services as part of an Integrated System for E-Medicine	IEEE MELECON2008, The 14th IEEE Mediterranean Electrotechnical Conference	France
Tabu Search Parameterization and Implementation in A Constraint Programming Library	EEE Region 8 Eurocon 2007 Conference	Poland
Hybrid Heuristics for Solving the Constraints Modeled High School Scheduling Problem	IEEE Region 8 Eurocon 2007 Conference	Poland
А parallel implementation of simulated annealing with a Бoltzmann synchronization function and its application to solve the traveling salesman problem	IS2006	Slovenia
Heuristic approaches and decisions in temporal and spatial scheduling using a Constraint Solving Engine	ITI2006	Croatia
Folksonomy And Healthcare Social Networks – Perspectives In Macedonia,	CIIT	Macedonia
System for Management,Visualization and Maintenance of Infrastructural Resources	TELFOR-2010	Serbia
3-Axial Accelerometers Activity Recognition	ICT Innovations 2010	Macedonia
Overview of the GUHA method as a data mining technique	Conference for Informatics and Information Technology, CIIT2010	Macedonia
Application of the GUHA method in medical diagnosis	Conference for Informatics and Information Technology, CIIT 2010	Macedonia
An Application for Maintaining Optical Networks	ICT-Innovation	Macedonia
Using Web Servces in mobile medical applications	ETAI 2009	R. of Macedonia
Disease Diagnosis Web Application	ETAI 2009	R. of Macedonia
Solving the High School Scheduling Problem Modelled with Constraints Satisfaction using Hybrid Heuristic Algorithms	book Greedy Algorithms, Publisher: IN-TECH, ISBN 978-953-7619-27-5
Multi-class Classification using Support Vector Machines in Binary Tree Architecture	International Scientific Conference UNITECH`08, Proceedings Volume-I, ISSN 1313-230X, pp. 413-418	Bulgaria
Rule Induction In Medical Data With Hybrid Heuristic Algorithms	Information Society 2008	Slovenia
WiMAX Supported Telemedicine as Part of an Integrated System for E-Medicine	30th International Conference on Information Technology Interfaces	Croatia
Web Based PDA Enabled Medical Information System	30th International Conference on Information Technology Interfaces	Croatia
Integrated system for e-medicine in a developing information society	Information Society 2007	Slovenia
Тестирање на java апликации со junit и предикција на грешки со баесови мрежи	ETAI 2007	R. of Macedonia
Video Content-Based Retrieval System	IEEE Region 8 Eurocon 2007 Conference, pp. 978-983	Poland
Improved Shot Boundary Detection Algorithm	Proceedings of the 9th International Multiconference, Information Society - IS 2006	Slovenia
The Adaptive Tabu Search and Its Application to the Quadratic Assignment Problem	Proceedings of 9th International Multiconference - Information Society 2006	Slovenia
А parallel implementation of simulated annealing with a Бoltzmann synchronization function and its application to solve the traveling salesman problem	Information Society S2006	Slovenia
Constraints Modeling of the High School Scheduling Problem	Eurocon 2005	Serbia
Развој на кориснички интерфејс за апликација за Распоред на часови и негова оптимизација	ETAI 2005	Macedonia
A Solution of N Queen Problem using a Constraint Solving Engine with Multiple Optimization Algorithms	ETAI 2005	Macedonia
Virtual commnities for diabetes chronic disease healthcare,	International Journal of Telemedicine and Applications, vol. 2011, Article ID 721654, 7 pages, 2011. doi:10.1155/2011/721654
Combined Language Processing Methods and Mash-Up System for Improving Retrieval in Diabetes Related Patents, Multidisciplinary Information Retrieval,	7th Information Retrieval Facility Conference, IRFC 2014, Springer	Denmark
3d printing assistive devices,	in print Springer, ELEMENT 2014, 6th International Conference on Mobile Networks and Management MONAMI,	Germany
Cloud based assistive technologies and smart living environment system,	in print Springer, ELEMENT 2014, 6th International Conference on Mobile Networks and Management MONAMI,	Germany
Implementing continuous integration in a web based medical software,	ICT Innovations 2014,	Macedonia
Clustering of tweets from popular athletes,	ICT Innovations 2014,
Using social media to predict children disease occurrence,	Proc. of the 7th IADIS International Conference Information Systems,	Spain
Automated online playlist generation system,	ICT Innovations 2013,	Macedonia
Facebook апликација за информирање за настаните на образовни институции	The 10th Conference for Informatics and Information Technology (CIIT 2013)	Macedonia
An online playlist management system,	The 10th Conference for Informatics and Information Technology	Macedonia
SA Tabu Miner: A hybrid heuristic algorithm for rule induction,	Journal Intelligent Decision Technologies	IOS Press
Ontology supported patent search architecture with natural language analysis and fuzzy rules,	ICT Innovations 2012,
, Design optimization of distribution transformers based on Differential Evolution Algorithms	ICT Innovations 2012,
Architecture of an electronic student services system and its implementation	ICT Innovations 2012	Macedonia
Using hidden space in optimization of space utilization,	ICT Innovations 2012,	macedonia
Study of Social Networks and Their Impact on Patients and Health Care	The proceedings of the 3rd International Conference "Information Systems and Technology Innovations: their application in Economy	Albania
User interface agile development and evaluation of the iKnow sтudent services system,	The 9th Conference for Informatics and Information Technology (CIIT 2012)
Implementation of electronic student services at UKIM,	The 9th Conference for Informatics and Information Technology (CIIT 2012)
Adaptive Anomaly-Based Intrusion Detection System,	InfoTech 2011	Bulgaria
Establishing A Pattern Of Normal Behavior For Protecting Web Applications,	ETAI 2011, September 2011
Folksonomy And Healthcare Social Networks – Perspectives In Macedonia, CIIT 2011, March 16-18,	Molika, Bitola	, R. of Macedonia
System for Management, Visualization and Maintenance of Infrastructural Resources	18th Telecommunications Forum, TELFOR 2010	Serbia

Conferences

Conference Title	Conference Name	City	Country
Algorithmic Decision Theory	Workshop and Seminar, COST action IC0602	Manchester	Great Britain
ADT2009	1st International Conference On Algorithmic Decision Theory	Venice	Italy
25th Mini-Euro Conference	Uncertainty and Robustness in Planning And Desciosion Making	Coimbra	Portugal
COMSOC-2010	3rd International Workshop on Computational Social Choice	Dusseldorf	Germany
ICT ACT 2010	ICT Innovations 2010	Ohrid	Macedonia
ICT Innovations Conference 2009	ICTI 2009	Ohrid	Macedonia
Information Society 2007	IS 2007	Ljubljana	Slovenia
ICT Innovations Conference 2010	ICTI 2010	Ohrid	Macedonia
8th International Conference for Informatics and Information Technology 2011	CIIT 2011	Bitola	Macedonia
National Conference ETAI 2005	ETAI 2005	Ohrid	R. of Macedonia

Projects

Project Title	Sponsored by
Risk Assessment for Customs in Western Balkans	Framework Program 6
COST action IC0602 management committee member	Framework Program 7
COST action IC1002 MUMIA management committee member	Framework Program 7
E-HFISN, E-Health applications using folksonomy and Internet social networks	ФЕИТ, Универзитетот Св Кирил и Методиј
Innovation and Knowledge Management towards eStudent Information System	TEMPUS

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 .

Software Engineering (4+1)

1. General Information

The second cycle studies in software engineering aim to provide quality and top European education and training of software engineers who will be able to bear the technical and economic responsibility of designing, developing, using and maintaining complex software systems. Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, designing, developing and running software projects, including their business aspects.

Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
Study Program Name: Academic Second Cycle Software Engineering Studies
Scientific-research area: technical-technological (2)
Field: Computer Science and Informatics (212)
Area: Software Engineering
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 Software Engineering

2. Studies

Table 3: List of Postgraduate Courses

РБ	CODE / Subject	Semester	M / E	ECTS
1	SI-Z-01 Software lifecycle management	IX	M	6
2	SI-Z-02 DevOps software development	IX	M	6
3	СE-M-03 Software Design Templates	IX	M	6
4	Elective	IX	E	6
5	Elective	IX	E	6
6	SI-Z-04 Software quality management	X	M	6
7	Izboren subject	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 in the other second cycle studies at the Faculty of Information Sciences and Computer Engineering.

Table 4: Electives

РБ	New code / Subject	Semester	ECTS
1	SI-I-01 Time series analysis and forecasting	IX	6
2	SI-02 Video game design and visual effects	IX	6
3	СE-E-03 Medical Informatics	IX	6
4	СE-E-04 Multimedia and scalable web	IX	6
5	СИ-И-05 Model based software engineering	IX	6
6	SI-06 Software Engineering for Critical Systems	X	6
7	СE-E-07 Engineering Ethics	X	6
8	SI-08 ERP Business Systems Engineering	X	6
9	СE-E-09 Software reliability	X	6
10	СE-E-10 Shape Recognition	X	6
11	SI-I-11 Systems fordecision support	X	6
12	СE-E-12 System Integration	X	6
13	СE-E-13 Software Architectures	X	6
14	IS-I-06 Analysis and Design of Information Systems	IX	6
15	IT-Z-02 Advanced mobile and web applications	IX	6
16	ITMW01 Advanced Software Project Management	IX	6
17	IT-I-05 Data Visualization	IX	6
18	КН-M-03 Formal methods	IX	6
19	IT-Z-03 Internet Security & Privacy	IX	6
20	IS-I-14 Multimodal interaction	X	6
21	IS-I-18 Intelligent mobile applications	X	6
22	ITMS01 Advanced Software Requirements Engineering	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 .

Bioinformatics (3+1+1)

1. General Information

Postgraduate studies in Bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analyzing, indexing, searching and using data from biological databases, as well as modeling events and processes that occur at the level cell, organ or organism, including the latest developments in the fields of databases, molecular biology, genetics, machine learning and data science.

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: Second cycle academic studies in Bioinformatics
Scientific-research area: technical-technological / natural mathematical
Field: Computer Science and Informatics / Informatics
Areas: Artificial Intelligence, Intelligent Systems, Programming Languages and Systems, Databases, Numerical Analysis, Algorithms, Simulation, Information Processing, Data Processing, 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).
In the first and the second semester, subjects are performed, while in the second semester, the final project is additionally prepared, ie. master thesis.
Admission Requirements : Completed undergraduate studies in Computer or Biological-Medical Sciences with a minimum of 240 or 180 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 : 2 Mandatory courses and 2 electives, one of which may be from the University list.
Second semester : 1 Mandatory and 1 elective, one of which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and the final project - master's thesis 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 upon completion of studies is:

- Master in Information Science and Computer Engineering in Bioinformatics

2. Introductory layer

The introductory layer is intended for students who have completed studies lasting less than four years or have earned less than 240 credits from previous studies. Students should pass differential exams that will allow them to enter the basics of bioinformatics. Table 1 shows the structure of items from the introductory layer. Table 2 lists the courses from the introductory layer, which are offered in the first cycle of studies at the Faculty of Information Sciences and Computer Engineering and which are required as prior knowledge. Students in the introductory layer choose the Mandatory courses from the list in Table 2. Students who in their previous education have heard the same or similar courses as those offered in the list in Table 2, can choose from the other courses offered in the first cycle of studies at The Faculty of Information Sciences and Computer Engineering, in coordination with the Head of the Department.

Table 1: Introductory layer structure

РБ	Subject	Semester	ECTS
1	Mandatory subject 1 *	VII	6
2	Mandatory subject 2 *	VII	6
3	Elective 1 **	VII	6
4	Elective course 2 **	VII	6
5	Elective course 3 **	VII	6
6	Mandatory subject 3 *	VIII	6
7	Mandatory subject 4 *	VIII	6
8	Elective course 4 **	VIII	6
9	Elective course 5 **	VIII	6
10	Elective course 6 ***	VIII	6

* The course should be chosen from Table 2. ** The course is recommended to be selected from Table 2, but can be chosen from the other courses offered in the first cycle of studies at the Faculty of Information Sciences and Computer Engineering, in coordination with the head of the department. *** The course can be selected from Table 2 or from the university list of free electives.

Table 2: List of recommended items for the introductory layer

РБ	Subject	Semester	ECTS
1	Databases	VII	6
2	Machine learning	VII	6
3	Research methodology in ICT	VII	6
4	Processing of natural languages	VII	6
5	Parallel and distributed processing	VII	6
6	Artificial Intelligence	VIII	6
7	Intelligent systems	VIII	6
8	Non-relational databases	VIII	6
9	Intelligent Information Systems	VIII	6
10	Introduction to Bioinformatics	VIII	6

3. Studies

Table 3: Course structure in IX and X semesters

РБ	Subject	Semester	З / И	ECTS
1	Introduction to Molecular Biology	IX	З	6
2	Basics of Bioinformatics	IX	З	6
3	Selected from Table 4	IX	И	6
4	Selected from Table 4	IX	И	6
5	Selected from Table 4	IX	И	6
6	Advanced Mathematical and Statistical Techniques	IX	З	6
7	Selected from Table 4	X	И	6
8	Master Thesis	X	З	18

Table 4 shows the elective courses from the Bioinformatics study program. In addition to these courses, the student can choose from all elective courses defined for all study programs of the second cycle that are serviced by the faculty. One elective course can be chosen from the university list of free elective courses. Table 4: Electives

Table 4: Electives

РБ	Subject	Semester	ЕКТС	Fund hours
1	Structural Bioinformatics and Proteomics	IX	6	4 + 0 + 0 + 0
2	Scientific computing in bioinformatics	IX	6	4 + 0 + 0 + 0
3	Wavelets in Numerical Simulations	IX	6	4 + 0 + 0 + 0
4	Information processing in biological systems	IX	6	4 + 0 + 0 + 0
5	Introduction to Computational Neuroscience	IX	6	4 + 0 + 0 + 0
6	Introduction to genetic Engineering	X	6	4 + 0 + 0 + 0
7	Mathematical Biology	X	6	4 + 0 + 0 + 0
8	Biological Sequence Analysis	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 at this link .

Cloud computing (3+1+1)

Cloud computing postgraduate studies aim at top European education and training, which after graduation will be able to deliver scalable and resilient infrastructure, platforms and software, which are high quality and reliable and which meet the needs of local industry.

The cloud computing program is compatible with the respective studies offered at most of the world's universities that support this topic and provide student mobility.

Name of the proposer: University "St. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
Name of the study program: Academic second cycle cloud computing studies
Scientific-research area: 2 technical-technological
Поле: 212 Computer Technology & Informatics
Област: 21208 other
The value of postgraduate studies is 60 ECTS credits .
Duration of studies: 2 semesters .
An academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
Conditions for enrolling in the studies : The studies can be enrolled in cloud computing graduate students who have 240 or 180 undergraduate credits.
Introductory layer : students who earned less than 240 credits during their studies a set of differential introductory courses is offered. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
First semester: 2 compulsory subjects, 1 elective general education subject, 2 elective subjects in the field, one of which can be from the list of free elective subjects at UKIM.
Second semester: 2 elective courses in the field, one of which can be from the list of UKIM (only if in the first semester the courses are selected at the faculty level) and completed project - master's thesis (18 ECTS)
1 ECTS credit corresponds to 30 hours of total work engagement
The number of contact hours is 4

Acquired title: Master of Information Science and Computer Engineering in the field of cloud computing.

2. Introductory layer

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

Table 1: List of introductory layer items

	code	subject	SEMESTER		ECTS	Prerequisite
1	CSEW506	Web programming	seventh	VII	6	Internet technologies
2	CSEW705	Innovation in ICT	seventh	VII	6	no
3		Elective course 1	seventh	VII	6
4		Elective course 2	seventh	VII	6
5		Elective course 3	seventh	VII	6
6	CSES802	Cloud Virtualization and Computing	eighth	VIII	6	Computer Network Design, Network Services Administration, Computer Networks, Internet
7	CSES628	Service Oriented Architectures	eighth	VIII	6	Internet programming
8		Elective course 4	eighth	VIII	6
9		Elective course 5	eighth	VIII	6
10		Optional *	eighth	VIII	6

* Course can be selected from the University list of free elective courses

Table 2: List of electives in introductory layer

	code	subject	SEMESTER		ECTS	Prerequisite
1	CSEW526	High performance computing	seventh	VII	6	Computer architecture and organization or computer architectures
2	CSEW513	Distributed Systems	seventh	VII	6	Computer Networks, Algorithms and Data Structures
3	CSEW702	Web based systems	seventh	VII	6	None
4	CSEW718	Distributed and parallel processing	seventh	VII	6	Operating systems, parallel programming
5	CSEW312	Multimedia Technologies	seventh	VII	6	Introduction to IT or Fundamentals of Software Engineering
6	CSEW515	Computer Ethics	seventh	VII	6	None
7	CSEW514	Implementation of Free and Open Source Systems	seventh	VII	6	None
8	CSEW522	Advanced Web Design	seventh	VII	6	None
9	CSES621	Parallel programming	eighth	VIII	6	Advanced Software Development
10	CSES602	Security of computer systems	eighth	VIII	6	Operating systems
11	CSES634	ICT Project Management	eighth	VIII	6	None
12	CSES601	Administering IT systems	eighth	VIII	6	None
13	CSES618	Network Security	eighth	VIII	6	Data and Computer Communications, Operating Systems
14	CSES622	Data Mining	eighth	VIII	6	None
15	CSES630	Modern computer architectures	eighth	VIII	6	Computer Architecture and Organization or Computer Architectures
16	CSES619	Advanced Databases	eighth	VIII	6	Databases
17	CSES609	Computer Network Design	eighth	VIII	6	Data and computer communications

After usOn 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 year of postgraduate studies.

3. Studies

Table 1: List of Postgraduate Courses

	Name of the subject	Status	Семестар	ECTS
1	Virtualized Data Centers	M	winter	6
2	Scalability and multitenancy for SaaS applications	M	winter	6
3	Elective general education subject *	E	winter	6
4	Elective	E	winter	6
5	Elective	E	winter	6
6	Elective	M	summer	6
7	Elective	E	summer	6
8	Master Thesis	M	summer	18

* Select one item from Table 2

Table 2. General education subjects

	Code	Name of the subject	Status	Семестар	ECTS
1	СЕ-E2-08	Business modeling	E	winter	6
2	ОО-M-01	Research Methods and Writing Techniques	E	winter	6
3	СЕ-E1-04	Privacy, ethics and social responsibility	E	winter	6

3.1 Electives

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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 elective courses can be found at this link.

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Endava Internship Programme – Skopje, North Macedonia

Company Description

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Open Call for Deep Tech Startups - Join the TECHSIGHT Support Program!

What does the TECHSIGHT support program offer?

1.Experts and knowledge

2.Collaborative learning

3.Targeted information and opportunities

4.Investment readiness and market integration

When and how?

Who are we looking for?

How to apply?

Be part of the European deep tech community!

About the TECHSIGHT Project

Internet Technologies (3+1+1)

Smart connected systems (3+1+1)

Statistics for data analysis (3+1+1)

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Ivan Chorbev Ph.D.

Computer Science (4+1)

Software Engineering (4+1)

Bioinformatics (3+1+1)

Cloud computing (3+1+1)

Cloud computing (3+1+1)

3.1 Electives

ЛОКАЦИЈА

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Languages

Search results

Endava Internship Programme – Skopje, North Macedonia

Company Description

Job Description

Qualifications

Additional Information

Open Call for Deep Tech Startups - Join the TECHSIGHT Support Program!

What does the TECHSIGHT support program offer?

1.Experts and knowledge

2.Collaborative learning

3.Targeted information and opportunities

4.Investment readiness and market integration

When and how?

Who are we looking for?

How to apply?

Be part of the European deep tech community!

About the TECHSIGHT Project

Табови

Summary

Cloud computing (3+1+1)

3.1 Electives