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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

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).

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 .

Bioinformatics (4+1)

1. General Information

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 compulsory courses and 2 electives, one of which may be from the University list.
Second semester : 1 compulsory 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. Studies

Table 3: Course structure in IX and X semesters

РБ	Course	Semester	M / E	Credits
1	Introduction to Molecular Biology	IX	M	6
2	Basics of Bioinformatics	IX	M	6
3	Selected from Table 4	IX	E	6
4	Selected from Table 4	IX	E	6
5	Selected from Table 4	IX	E	6
6	Advanced Mathematical and Statistical Techniques	X	M	6
7	Selected from Table 4	X	E	6
8	Master Thesis	X	M	18

Table 4: Electives

РБ	Course	Semester	Credits	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 on this link .

Intelligent systems (4+1)

1. General Information

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

Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
Course Title: Second Cycle Academic Studies in Intelligent Systems
Scientific-research area: technical-technological / natural mathematical
Field: Computer Science and Informatics / Informatics
Areas: Artificial Intelligence , Intelligent Systems, Databases, Numerical Analysis , < / Algorithms , Information Processing, Data Processing, Robotics, Other .
The value of postgraduate studies is 60 ECTS or 120 ECTS credits.
Duration of studies: 2 or 4 semesters .
One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
Admission Requirements : According to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
Second semester : 2 electives, one of which can be from the University list (only if in the first semester the subjects are selected at the Faculty level) and a final project - a master's thesis of 18 ECTS. / li>
1 ECTS credit corresponds to 30 hours of total employment.
The number of contact hours is 4.
The academic title or degree obtained after graduation is

-Master of Information Science and Computer Engineering in Intelligent Systems

2. Studies

Table 3: List of Postgraduate Courses

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

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

Table 4: Electives

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

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

Software Engineering (3+1+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. 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 From Table 2	VII	6
2	Mandatory subject 2 From Table 2	VII	6
3	Mandatory subject 3 From Table 2	VIII	6
4	Mandatory subject 4 From 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 the postgraduate studies in software engineering. 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	Code / Subject	Semester	ECTS	Prerequisite²
1	CSEW522 Advanced Web Design	VII	6	no
2	CSEW519 Mobile platforms and programming	VII	6	Object-Oriented Programming
3	CSEW702 Web based systems	VII	6	Network Programming
4	CSEW514 Implementation of Free and Open Source Systems	VII	6	no
5	CSEW313 Advanced Programming	VII	6	Object-Oriented Programming
6	CSEW704 Integrated Systems Design	VIII	6	Databases
7	CSES602 Security of computer systems	VIII	6	Operating Systems
8	CSES616 Mobile Applications	VIII	6	Object-Oriented Programming
9	CSES631 Software Quality and Testing	VIII	6	Software Engineering
10	CSES634 ICT Project Management	VIII	6	no

[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.

3. 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	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 electives 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 Design of video games and special 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 Critical systems software engineering	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 Decision Support Systems	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 .

Software Engineering (4+1)

1. General Information

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 .

Software Engineering TEMPUS (4+1)

1. General information

The MSc curriculum in software engineering is committed to excellence in European-wide software education and training of engineers to deliver high quality and trustworthy software systems that meet the local industrial needs.

General competencies

Ability to work in an interdisciplinary team
Capacity for critical analysis and synthesis
Capacity for applying knowledge in practice
Capacity for generating new ideas (creativity)
Capacity to learn
Decision-making
Knowledge of a second language
Research skills

Specific learning outcomes

Show mastery and critical thinking of the software engineering (SE) knowledge and skills and professional issues necessary to begin practice/research as a software engineer.
Work as individual or as part of a team to develop and deliver high quality software artefacts, being able to analyze its level of quality.
Identify, analyse, and reconcile conflicting project objectives, finding acceptable compromises within limitations of cost, time, knowledge, existing systems and organizations.
Analyze, design and document appropriate solutions in more than one application domains using SE approaches that integrate ethical, social, legal and economic concerns.
Demonstrate an understanding of and critically analyze and apply current theories, models and techniques that provide a basis for problem identification and analysis, software design, development, implementation, verification and documentation.
Demonstrate an appreciation and understanding for the importance of negotiation, effective work habits, leadership and good communication with stakeholders in a typical, industry-strength software environment.
Learn new theories, models, techniques and technologies as they emerge and appreciate the necessity of such continuing professional development.

Offered by: Sts. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE in collaboration with the University of Novi Sad, Faculty of Natural Sciences and Mathematics, Department of Mathematics and Computer Science
Study programme: Joint MSc curricula in Software Engineering / Tempus JEP 18035
Scientific-research field: Computer Science
Category: Computing
Sub-category: Software and its Engineering, Theory of Computation, Information Systems
The master studies cycle consists of 60 ECTS.
Study duration: 2 semesters
One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
The first semester is comprised of courses only, while the second semester there 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.
First semester: 5 elective courses divided into two groups: general SE competence and specific SE competence. Student can select at most two from the general SE courses, and at leas from the specific SE courses
Second semester: Final master thesis project that equals 30 ECTS.
1 ECTS = 30 hours of work load.
Contact hours per week is 4.

Degree: Master of computer science in the area of software engineering.

Табови

Summary

slobodan.kalajdziski@finki.ukim.mk

Summary

Роден е 1976 година во Охрид. Дипломирал и магистрирал на Електротехничкиот факултет во Скопје во 2000 и 2004, соодветно. Докторирал на Факултетот за електротехника и информациски технологии во 2008 година. Првото работно искуство го имал во Неоком А.Д. во 2000 година, каде работел на позициите софтверски архитект, проект менаџер и програмер. На Институтот за компјутерска техника и информатика при Електротехничкиот факултет во Скопје работи од 2000 година како демонстратор. Звањата помлад асистент и асистент ги стекнал во 2003 и 2005 година, соодветно. Во 2008 година бил избран во звањето доцент. Како асистент бил вклучен во одржувањето настава по предмети од областа на програмски јазици, структури и бази на податоци, структурирано програмирање, објектно ориентирано програмирање, објектно ориентирани системи, бази на податоци, објектно ориентирана анализа и дизајн и информациони системи. Како доцент одржува настава по предмети од областа на објектно ориентирани системи, бази на податоци 2, објектно ориентирана анализа и дизајн и информациони системи. Координатор е на магистерските студиски програми Содржинско базирано пребарување и Интелигентни информациони системи, каде одржува настава на дел од предметите покриени со овие студиски програми. Автор е на триесетина научни трудови објавени на меѓународни и домашни конференции и списанија. Учествувал во 8 научно-истражувачки проекти. Полињата на научно-истражувачки интерес вклучуваат биоинформатика, системска биологија, откривање на знаење во податоци, податочно рударење, податочни складишта, бази на податоци, анализа и дизајн на информациони системи.

Рецензија - ЛИНК.
Одлука за избор - ЛИНК

Associations

Линк до асоцијацијата (здружението)	Име на асоцијацијата (здружението)
http://ict-act.org/	Association for Information and Communication Technologies ICT-ACT
http://www.ieee.org	IEEE

Publications

Име на трудот	Место	Држава
Probabilistic Predictions of Ensemble of Classifiers Combined with Dynamically Weighted Majority Vote	Proceedings of the IASTED International Conference Artificial Intelligence and Applications	Austria
Hierarchical Protein Classification based on Gene Ontology and Decision Trees	Proceedings of ICT Innovations 2010	Macedonia
Accessing the Performance of Assembly Tools on Simulated Sequencing Data and Their Sensitivity to GC Content	Proceedings of ICT Innovations 2010	Macedonia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
Probabilistic Predictions of Ensemble of Classifiers Combined with Dynamically Weighted Majority Vote	Proceedings of the IASTED International Conference Artificial Intelligence and Applications	Austria
Hierarchical Protein Classification based on Gene Ontology and Decision Trees	Proceedings of ICT Innovations 2010	Macedonia
Accessing the Performance of Assembly Tools on Simulated Sequencing Data and Their Sensitivity to GC Content	Proceedings of ICT Innovations 2010	Macedonia
A System for Protein Classification Based on Protein 3D Structure	”, Proceedings of The 5th international conference SETIT 2009: Sciences of Electronic, Technologies of Information and Telecommunications, IEEE 2009,	Tunisia
Protein Function Prediction Based on Neighborhood Profiles	Proceedings of the ICT Innovations, Springer-Verlaang, Macedonia, 2009
Protein Classification Based on 3D Structures and Fractal Features	Proceedings of the ICT Innovations, Springer-Verlaang, Macedonia, 2009
Comparative analysis of wavelet based protein descriptors	9th National Conference ETAI 2009	Macedonia
Novel Wavelet Based Protein Descriptors	ICT Innovations	Macedonia
Comparative Analysis of three efficient approaches for retrieving protein 3D structures	Proceeding of 4-th IEEE Cairo International Biomedical Engineering Conference	Egypt
Efficient protein classification by using 3D structure content representation	Proceeding of IASTED International Conference on Artificial Intelligence and Soft Computing 2008	Spain
Protein Secondary Structure Prediction Method based on Neural Networks	Proceedings of the 2nd International Conference on Bioinformatics and Biomedical Engineering	China
Protein Classification by Matching 3D Structures	Proceeding of IEEE Conference Frontiers in the Convergence of Bioscience and Information Technologies	Korea
Protein Retrieval by Matching 3D Structures	8th National Conference ETAI	Macedonia

Projects

Име на проектот	Финансирано од
144650-TEMPUS-2008-IT-JPGR, Video Conferencing Educational Services	Tempus
ECOSYSTEM INFORMATICS - Development of Postgraduate Curriculum, TEMPUS project - JEP-41038-2006	Tempus
Wavelet based indexing and retrieval of 3D objects, Macedonian-France Joint Project	Билатерален македонско-француски проект

д-р Слободан Калајџиски

NI4OS-Europe

Body:

National Initiatives for Open Science in Europe – NI4OS Europe, aims to be a core contributor to the European Open Science Cloud (EOSC) service portfolio, commit to EOSC governance and ensure inclusiveness on the European level for enabling global Open Science.

The project’s main actions include

Support the development and inclusion of the national Open Science Cloud initiatives in 15 Member States and Associated Countries in the EOSC governance.
Instill within the community the EOSC philosophy and FAIR principles for data Findability, Accessibility, Interoperability and Reusability.
Provide technical and policy support for on-boarding of service providers into EOSC, including generic services (compute, data storage, data management), thematic services, repositories and data sets.

More details about the project at the official web site https://ni4os.eu/

The role of FCSE, UKIM in the project

FCSE, UKIM will liaise with stakeholders, collect relevant information for roadmapping, facilitate the setup of national OSC initiative in the country, and support national EOSC liaison. FCSE, UKIM will also lead the WP that will contribute to defining the set of operational best practices and develop appropriate tools that will enable harmonization and on-boarding possibilities for the service providers. It will support the on-boarding of generic and thematic services and repositories in the country to EOSC and support the horizontal platform. Additionally, it will promote FAIR and EOSC uptake in the national communities, deliver trainings, and develop specific IT service management courses and training materials. It will lead the training task and provide the project level training platform. National dissemination events will be organized by FCSE, UKIM.

Табови

Summary

goran.velinov@finki.ukim.mk

Summary

Горан Велинов ја одбранил својата докторска дисертација од областа на Информатички науки во 2008 година (под наслов „Обопштување и подобрување на оптимизациските процеси кај релационите податочни складови“) на Природно – математичкиот факултет на Универзитетот Св. Кирил и Методиј во Скопје. Во 2009 година е избран во насловен доцент на Природно – математичкиот факултет во Скопје, додека во 2010 е избран во доцент на Факултетот за информатички науки и компјутерско инженерство (ФИНКИ), каде што предава Напредни бази на податоци. Тој има објавено бројни трудови во списанија и меѓународни конференции, главно во областа на складови на податоци и оптимизација. Тој има учествувано во неколку меѓународни проекти, како што се ELISA, INTERREG IIIB CADSES, 2006-2008; SEE-GRID, 6FP IST проект, 2004-2006; SEE-GRID2, 7FP IST проект, 2006-2008 и др. Неговите истражувачки интереси се насочени кон дизајн и имплементација на складови на податоци, моделирање на податоци, особено повеќедимензионално моделирање, како и бизнис интелигентни системи.

Рецензија - ЛИНК.
Одлука за избор - ЛИНК

Presentations

Презентација за	На конференцијата	Од тип
Solving View and Index Selection Problem Using Genetic Algorithm	2nd Balcan Conference in Informatics, BCI 2005	Scientific
Data Warehouse Design Implementation	Second Balkan Conference in Informatics, BCI 2005	Scientific
Vertical Fragmentation in Relational Data Warehouses	Romanian Symposium on Computer Science Database Theory and Practice in the context of (Semantic) Web Technologies, ROSYCS 2006	Scientific
Optimization of Relational Data Warehouses	European Conference on Advances in Intelligent Systems and Technologies, ECIT 2006	Scientific
Recessive Bits in Genetic Algorithm for Some Optimization Problems in Relational Data Warehouses	Third International Conference - Computer Science 2006	Scientific
A Framework of Static Algorithms for Data Warehouse Optimization	Conference of Informatics and Information Technologies, CIIT 2007	Scientific
Generalization and Improvement of the System of Relational Data Warehouses	Third Balkan Conference in Informatics, BCI 2007	Scientific
Framework for Improvement of Data Warehouse Optimization Process by Workflow Gridification	Twelfth Conference on Advances in Databases and Information Systems (ADBIS 2008)	Scientific

Associations

Линк до асоцијацијата (здружението)	Име на асоцијацијата (здружението)
http://www.ict-act.org	ICT-ACT
http://ict-act.org	Асоцијација ИКТ–АКТ

Publications

Име на трудот	Место	Држава
Solving View and Index Selection Problem Using Genetic Algorithm	Proceedings of the Second Balkan Conference in Informatics, BCI 2005	Macedonia
Data Warehouse Design Implementation	Proceedings of the Second Balkan Conference in Informatics, BCI’05	Macedonia
Vertical Fragmentation in Relational Data Warehouses	Proceedings of the Romanian Symposium on Computer Science Database Theory and Practice in the context of (Semantic) Web Technologies ROSYCS 2006	Romania
Optimization of Relational Data Warehouses	Proceedings of the 4th European Conference on Advances in Intelligent Systems and Technologies, ECIT 2006	Romania
Recessive Bits in Genetic Algorithm for Some Optimization Problems in Relational Data Warehouses	Proceedings of the Third International Conference - Computer Science 2006	Turkey
A Framework of Static Algorithms for Data Warehouse Optimization	Conference of Informatics and Information Technologies	Macedonia
Hybrid Greedy and Genetic Algorithms for Optimization of Relational Data Warehouses	Proceedings of the 25th IASTED International Multi-Conference on APPLIED INFORMATICS, Artificial Intelligence and Applications - AIA 2007	Austria
Generalization and Improvement of the System of Relational Data Warehouses	Proceedings of the Third Balkan Conference in Informatics, BCI’07	Bulgaria
Framework for Generalization and Improvement of Relational Data Warehouses	IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.3	Korea
Framework for Workflow Gridication of Genetic Algorithms in Java	In proceeding of the International Conference on Computational Science, ICCS 2008	Poland
Framework for Improvement of Data Warehouse Optimization Process by Workflow Gridification	Proceedings of the 12th Conference on Advances in Databases and Information Systems (ADBIS 2008)	Finland
Dynamic Evolution and Improvement of Data Warehouse Design	Proceedings of the 4th Balkan Conference in Informatics IEEE BCI 2009	Greece
A Generalized Approach to Optimization of Relational Data Warehouses Using Hybrid Greedy and Genetic Algorithms	International Scientific Annals in Computer Science, Alexandru Ioan Cuza, University of Iasi, Vol. 19.	Romania
Performance Improvement of Genetic Algorithms by Adaptive Grid Workflows	Proceedings of the 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2009	Romania
Optimization of Adaptive Petri-Net Grid Genetic Algorithm Workflows	Proceedings of the ICT Innovations 2009	Macedonia
Horizontal Partitioning by Predicate Abstraction and its Application to Data Warehouse Design	Proceedings of the 14th Conference on Advances in Databases and Information Systems, ADBIS 2010	Serbia

Conferences

Назив на конференцијата	Име на конференцијата	Град	Држава
2nd Balcan Conference in Informatics	BCI 2005	Охрид	Македонија
Romanian Symposium on Computer Science Database Theory and Practice in the context of (Semantic) Web Technologies	ROSYCS 2006	Iasi	Romania http://www.infoiasi.ro/~rosycs/
4th European Conference on Intelligent Systems and Technologies	ECIT 2006	Iasi	Romania
Third International Bulgarian-Turkish Conference	Computer Science'06	Istanbul	Turkey
5th International Conference for Informatics and Information Technology	CIIT 2007	Bitola	Macedonia
Third Balkan Conference in Informatics	BCI 2007	Sofia	Bulgaria
Twelfth Conference on Advances in Databases and Information Systems	ADBIS 2008	Pori	Finland
14th Conference on Advances in Databases and Information Systems	ADBIS 2010	Novi Sad	Serbia

д-р Горан Велинов

Intelligent systems

Aim of the program:

The aim of the course is to provide introductory knowledge on selected topics in the field of intelligent systems. It introduces the basic techniques of machine learning, data mining, cognitive science, natural language processing, as well as application the area of bioinformatics. Students will learn and acquire a deeper understanding of the challenges and approaches in designing intelligent systems and with the provided assignments they will be trained to developed practical skills for solving concrete classification and prediction systems.

Accreditation:

Inteligent_Systems.pdf

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