Резултати од пребарување

Software Engineering (4+1)

Software Engineering (4+1)

1. General information
 
The goal of the master studies in software engineering is to provide top quality European education and training for the software engineers that will be ready to cope with the technical and economic responsibility while projecting, developing, using and maintenance of complex software systems. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design, development and leading software projects including their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Software engineering
  • Scientific-research field: Engineering and Technology
  • Category: Information engineering
  • Sub-category:Software engineering
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only if this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
 Degree: Master of computer science and engineering in the field of software engineering
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Dejan Gjorgjevikj, assist. prof. Ivan Chorbev

 Advanced topics in software engineering

IX

6
 2  assoc. prof. Dejan Gjorgjevikj, prof. Suzana Loshkovska  Software design patterns IX 6
 3  

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  prof. Suzana Loshkovska, assist.  prof. Ivica Dimitrovski, assist. prof. Anastas Mishev  Softeware testing and usability X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Software Engineering TEMPUS (4+1)

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.

Computer networks and e-technologies (4+1)

Computer networks and e-technologies (4+1)

1. General information 
 
The goal of the computer networks and e-technologies master studies is to provide top quality European education and training for ICT engineers. The studies offer deeper and specialized knowledge about computer networks and e-technologies. Upon completion of this master study programme the ICT engineers are expected to take up responsible higher level positions in the business and engineering processes of planning, design, managing and monitoring of computer networks. They are also expected to be able to efficiently and effectively employ various state of the art e-technologies and fully understand their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Computer networks and e-technologies master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category: Communication engineering and 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 in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of computer networks and e-technologies
 
2. Studies
 
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS

 1   Academian prof. Ljupco Kocarev

 Modern network analysis methods

IX

6
 2  assoc. prof. Dimitar Trajanov  E-business IX 6
 3  

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  assist. prof. Sonja Filiposka  Next generation networks X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Intelligent Information Systems (4+1)

Intelligent Information Systems (4+1)

1. General information 
 
The science of building artificial intelligent systems takes the central place in the engineering sciences. There are two main approaches in developing artificial intelligent systems: machines that incorporate intelligence – robots, and one that starts with biological systems and leads towards artificial being – bioinformatics and bioengineering. The Intelligent System Engineering is the place where students can understand and develop intelligent systems in solving real-life problems. 
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Intelligent Systems Engineering – bioinformatics / robotics
  • Scientific-research field: Engineering, Natural sciences and applied mathematics
  • Category: Informatics
  • Sub-category: Intelligent 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)
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of Intelligent Systems Engineering, module Bioinformatics or Master of Intelligent Systems Engineering, module Robotics
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Slobodan Kalajdziski

 Information systems analysis and design

IX

6
 2  assoc. prof. Andrea Kulakov  Advanced topics in Artificial Intelligence IX 6
 3  

 Mandatory general-education course

IX

6

 4    Elective course IX 6
 5    Elective course

IX

6

 6  assoc. prof. Vladimir Trajkovikj  Collaborative computer systems X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Content-based Retrieval (4+1)

Content-based Retrieval (4+1)

1. General information
 
Master studies in content-based retrieval (multimedia data engineering) will enable students to understand and develop advanced algorithms and techniques for analyzing, indexing and comparing the contents of different data types including the latest technologies in the areas of databases and computer intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Content-based retrieval master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and informatics
  • Sub-category:information processing
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4.
Degree: Master of computer science and engineering in the field of content-based retrieval
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assoc. prof. Slobodan Kalajdziski

 Modeling and representing unstructured data

IX

6
 2  assist. prof. Ivica Dimitrovski, assist.  prof. Sonja Gievska  Content based indexing and retrieval IX 6
 3  

 Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  assist. prof. Igor Trajkovski  Data fusion X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Bioinformatics (4+1)

Bioinformatics (4+1)

1. General information
 
Master studies in bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analysis, indexing, retrieval and use of data from biological databases, and modeling of events and processes that occur at the level of cell,organ or organism, including the latest technologies in the areas of databases, molecular biology, genetics and machine Intelligence.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Bioinformatics master studies
  • Scientific-research field: Engineering and Technology
  • Category: Computer engineering and informatics
  • Sub-category: Other
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of bioinformatics 
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   prof. Sasho Panov  Introduction to molecular biology

IX

6
 2  assoc. prof. Slobodan Kalajdziski  Bioinformatics algorithms IX 6
 3    Mandatory general-education course

IX

6

 4    Elective course IX  6
 5    Elective course

IX

6

 6  Academian prof. Ljupco Kocarev, prof. Zaneta Popeska  Advanced mathematical and statistical techniques X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Ecoinformatics TEMPUS (4+1) (in Macedonian)

Ecoinformatics TEMPUS (4+1)

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

 

Стекната титула: Магистер по информатички науки и компјутерско инженерство од областа на еко-информатика
 
2. Студии
Табела 1: Листа на предметите на постдипломски студии 
   Професори

Предмет

Семестар

 ЕКТС 

 1   проф. Д-р Коста Митрески

 Концепти во Еко-информатиката

IX

6
 2  проф. Д-р Андреа Кулаков  Мониторинг и обработка на податоци во инженерството на животната средина IX 6
 3  проф. Д-р Коста Митрески

 Имплементрација на географски информациони системи

IX

6

 4  

 Изборен предмет

IX

6

 5  

 Изборен предмет

IX

6

 6  Д-р Андреја Наумоски, проф. Д-р Коста Митрески  Откривање на знаење од податоци за животната средина X 6
 7    Изборен предмет X 6
 8    Завршен проект - Магистерски труд X 18
 

System on chip TEMPUS (4+1)

System on chip TEMPUS (4+1)

1. General information 
 
The goal of the system on chip master study programme is to provide top quality European education and training for the ICT engineers. The study programme provides deeper and specialized understanding of the embedded systems and the methodologies for system on chip design. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design and management of embedded systems implemented with various state of the art technologies.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: System on chip master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category:Computer hardware andarchitecture 
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of system on chip 
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS

 1   assist. prof. Igor Mishkovski

 System on chip design techniques

IX

6
 2  assoc. prof. Vladimir Trajkovikj  Mobile and embedded systems IX 6
 3     Mandatory general-education course

IX

6

 4  

 Elective course

IX

6

 5  

 Elective course

IX

6

 6  assoc. prof. Dimitar Trajanov  Developing software for mobile and embedded systems X 6
 7    Elective course X 6
General-education courses
 1    Research methods and writing techniques IX 6
 2    Project management IX 6
 
 

Statistics and Actuarial Mathematics (4+1) (in Macedonian)

1. Општи информации
 
Веројатноста и статистиката го поврзуваат математичкиот свет на теориски модели со емпирискиот свет на експериментирање и собирање на податоци. Статистичкото моделирање има огромна примена во сите гранки на индустријата и науката, како на пример комуникациски мрежи, финансиско работење, осигурување, истражувања на пазарот, генетски истражување, медицински истражувања и други. Од друга страна актиуарството како професија се повеќе се наметнува како потреба на пазарот на трудот. Образованието од областа на актуарството се надградува на солидни познавања од областа на стохастиката, финансиската и актуарската математика. 

Студентите по завшувањето ќе можат успешно да ги користат веројатносно статистичките методи за моделирање на реалните проблеми и да се вклучат во систем на донесување на правилни одлуки базирани на информаците стекнати од расположивите податоци. Образованието од областа на актуарска математика дополнително ќе овозможи вклучување на завршените студенти во моделирањата во областа на осигурувањето.

  • Назив на предлагачот: Универзитет „Св. Кирил и Методиј“ во Скопје, Факултет за информатички науки и компјутерско инженерство - ФИНКИ
  • Назив на студиска програма: Статистика и актуарска математика 
  • Научно - истражувачко подрачје: природно - математичко
  • Поле: математика и статистика
  • Област: математичка статистика и операциони истражувања, применета математика и математичко моделирање и актуарство
  • Вредноста на постдипломските студии изнесува 60 ЕКТС кредити
  • Траење на студиите: 2 семестри
  • Една академска година се состои од два семестра во траење од 30 недели (1 семестар = 15 недели)
  • Услови за запишување на студиите: студиите им се првенствено наменети на студентите кои стекнале 240 кредити или завршиле четиригодишни академски студии од областа на природно – математичките, технолошко – техничките, економските и медицинско-биолошки науки.
  • Воведувачки слој: на студентите кои во текот на студиите стекнале помалку од 240 кредити им се нуди множество диференцијални воведувачки предмети. По нивното успешно реализирање, студентот стекнува право да продолжи со втората година на постдипломските студии.
  • Прв семестар: 2 задолжителни предмети и 2 изборни предмети од областа.
  • Втор семестар: 1 задолжителен предмет од областа, 1 изборен предмет од областа и 1 изборен предмет кој може да биде од Универзитетската листа и завршен проект од 18 ЕКТС.
  • 1 ЕКТС кредит соодветствува на 30 часови вкупен работен ангажман.
  • Бројот на контактните часови е 4.
 
Стекната титула: Магистер по Статистика и актуарска математика – модул статистика и примени, или Магистер по Статистика и актуарска математика – модул актуарска математика
 
2. Студии
 
Табела 1: Листа на предметите на постдипломски студии за модул Статистика и примени
   Професори

Предмет

Семестар

 ЕКТС 

 1   проф. д-р Марија Михова, проф. д-р Жанета Попеска

 Статистички компјутерски апликации

IX

6
 2  проф. д-р Жанета Попеска, проф. д-р Марија Михова  Повеќе-димензионална анализа IX 6
 3  

 Изборен предмет од областа

IX

6

 4  

 Изборен предмет од областа

IX

6

 5  проф. д-р Верица Бакева

 Стохастичко моделирање

X

6

 6    Изборен предмет од областа X 6
 7    Изборен предмет од универзитетска листа X 6
 8    Магистерска тема  X 6
 
Табела 2: Листа на предметите на постдипломски студии за модул Актуарска математика
   Професори

Предмет

Семестар

 ЕКТС 

 1   проф. д-р Марија Михова, проф. д-р Жанета Попеска

 Статистички компјутерски апликации

IX

6
 2  проф. д-р Марија Михова  Финансиска математика IX 6
 3  проф. д-р Жанета Попеска, проф. д-р Марија Михова

 Актуарска математика

IX

6

 4  

 Изборен предмет од областа

IX

6

 5  проф. д-р Верица Бакева

 Стохастичко моделирање

X

6

 6    Изборен предмет од областа X 6
 7    Изборен предмет од универзитетска листа X 6
 8    Магистерска тема  X 6

Intelligent Systems Engineering (3+1+1)

Intelligent Systems Engineering (3+1+1)

1. General information
The science of building artificial intelligent systems takes the central place in the engineering sciences. There are two main approaches in developing artificial intelligent systems: machines that incorporate intelligence – robots, and one that starts with biological systems and leads towards artificial being – bioinformatics and bioengineering. The Intelligent System Engineering is the place where students can understand and develop intelligent systems in solving real-life problems. 
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Intelligent Systems Engineering – bioinformatics / robotics
  • Scientific-research field: Engineering, Natural sciences and applied mathematics
  • Category: Informatics
  • Sub-category: Other
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of Intelligent Systems Engineering, module Bioinformatics or Master of Intelligent Systems Engineering, module Robotics
 
2.  Introductory courses
 
Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
 
 
Table 1: List of introductory courses for the module Bioinformatics
 

Course

Semester

ECTS

Prerequisite

 1

 Intelligent systems

VII

6  Calculus 3
 2  Databases 2 VII 6 Databases
 3

 Human computer interaction

VII

6

Software engineering

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

 Bioinformatics 

VIII

6

-

 7

 Fundamentals of intelligent systems

VIII

6

Data structures and Discreet structures 2

 8  Data mining VIII  6  Probability and statistics (or Statistics) and Databases
 9  Elective courses 3 VIII 6  
 10  Elective course from University list of available courses VIII 6  
 
 
Table 2: List of introductory courses for the module Robotics
 

Course

Semester

ECTS

Prerequisite

 1

 Intelligent systems

VII

6 Calculus 3
         
 2  Human computer interaction VII 6 Software engineering
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5  Elective course 3 VII 6  
 6

 Fundamentals of intelligent systems

VIII

6

Data structures and Discreet structures 2

 7

 Microprocessors and microcontrollers 

VIII

6

 Computer architecture

 8

 Bioinformatics

VIII

6

-

 9  Robotics VIII  6  -
 10  Elective course from University list of available courses VIII 6  
 
 
Table 3: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1  Professional ethics VII 6 Software engineering
 2  Software constriction VII  6 Software architecture and design
 3  Advanced computer systems VII  6 Microprocessors and microcontrollers
               
 4  Statistics  VIII  6 Probability
 5

 Algorithms

VIII

6

Object and visual programming

 6

 Information systems

VIII

6

Databases

 7

 Calculus 3

VIII

6

Calculus 2

 8  Parallel and distributive processing VIII 6  Operating systems
 9  Software architecture and design VIII 6  Analysis of software requirements
10  Network and distributed operating systems VIII 6  Data structures and Operating systems 
 
3. Studies
 
Courses for the Master studies for the study programme Intelligent Systems Engineering can be found at this link.