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Cloud computing (3+1+1)

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

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.

Software Engineering TEMPUS (3+1+1)

Software Engineering TEMPUS (3+1+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.
 
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: Introductory semester 1 - mandatory and elective courses from which 5 courses can be elected
 

Course

Semester

ECTS

Prerequisite

 1

 Probability and statistics

VII

6 Calculus 2
 2  Internet technologies VII 6 Databases
 3  Microprocessors and microcontrollers VII Calculus 2
 4  Formal languages and automata VII  6 Discreet structures 2 
 5

Analyses of software requirements

VII

6

Software engineering 

 6

 Human computer interaction

VII

6

Software engineering

 7  Software construction VII 6 Software engineering
 8  Management in ICT VII 6 Software engineering
 9  Professional ethics VII 6 Software engineering
 
 
Table 2: Introductory semester 2 - mandatory and elective courses from which 5 courses can be elected
 

Course

Semester

ECTS

Prerequisite

 1

 Information systems

VIII

6 Databases
 2  Calculus 3 VIII 6 Discreet structures 2
 3

 Algorithms

VIII

6

Object oriented and visual programming

 4

 Software architecture and design

VIII

6

Analyses of software requirements

 5  Software quality and testing VIII 6 Software construction 
 6  Compilers VIII 6 Microprocessors and microcontrollers
 7  Software projects management VIII 6 Software engineering
 
2.1 Studies
 
Courses for the Master studies for the study programme Software engineering TEMPUS can be found at this link.

System on chip TEMPUS (3+1+1)

System on chip TEMPUS (3+1+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. Introductory courses
 
Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.  
 
Table 1: List of introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Probability and statistics

VII

6  
 2  Embedded computer systems VII 6  
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5

 Elective course 3

VII

6

 

 6

Introduction to microprocessors

VIII

6

 

 7  WAN networks VIII 6  
 8  Elective course 4 VIII 6  
 9  Elective course 5 VIII 6  
10  Elective course from University list of available courses VIII 6  
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite

 1

 Modelling and simulation

VII

6  
 2  Artificial intelligence VII 6  
 3

 Network programming

VII

6

 

 4

 Web-based systems

VII

6

Network programming

 5  Advanced processor architectures VII 6  
 6  Network software VII 6  
 7  Network operating systems VII 6  
 8  Wireless computer networks VIII 6  
 9  Network standards and devices VIII 6  
10  Sensor systems VIII 6  
11  E-commerce and m-commerce VIII 6  
12  Design of embedded computer components VIII 6  
13  Public mobile networks VIII 6  
14  Computer network management VIII 6  
15  Computer security and procection VIII 6  
16  Mobile information systems VIII 6  
17  Geographic information systems VIII 6  
18  Biocybernetics VIII 6  
19  Information systems VIII 6  
 
2.1 Studies
 
Courses for the Master studies for the study programme System on chip TEMPUS can be found at this link.
  
Python Developer 
 
Stonebranch builds dynamic IT automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation, helping organizations achieve the highest possible Return on Automation. No matter the degree of automation, Stonebranch software is simple, modern, and secure. Using its universal automation platform, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Alpharetta, Georgia with points of contact and support throughout the Americas, Europe, and Asia, Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions. 
  
The candidate will join our Technology Business Unit in Skopje, contributing to the whole growth and adoption of our Universal Automation Platform by extending its integration capabilities and enabling our customers to automate “everything and everywhere”. 
  
 
Your Part in this Growth Story: 
 
Stonebranch Marketplace is evolving enabling our customers who build DevOps, DataOps, and any type of IT orchestration to integrate with any cloud services and cutting-edge applications such as GitHub, Kafka, Elastic, Terraform, Kubernetes, Docker, Databricks, Snowflake, Slack, Jenkins, etc. 
  
Stonebranch’s Solutions Extension Development team is searching for a Software Engineer who’s interested in designing and building amazing, impactful Universal Automation Connectors that will extend the integration capabilities of our Universal Automation Platform. 
  
The position is best suited for a professional interested in the automation or systems integration fields, who has a successful track record in building solutions through Python while being an organic member of an agile team. 
  
This will be a hybrid position – 3 days/wk onsite and 2 days/wk remote – and will report to the Manager for Solution Engineering. 
  
 
What you will be doing: 
 
As a software engineer, you will design, build, test, document and maintain the next generation of universal automation platform connectors leveraging the Universal Extension capabilities. 
You will maintain, support, and extend the rolled-out software components. Apply technical expertise to investigate and resolve software issues (troubleshooting & bug fixing). 
You will work based on CI/CD DevOps practices and that involves testing automation and automated deployments. 
 
You as well as the rest of the team are responsible for the team deliverables. You need to make sure your tasks are timely implemented and delivered with good quality following best practices. 
You will be an organic agile team member. You will communicate efficiently with your peers to make sure that the work executed is aligned with the scope of the user stories and with the technological guidelines. 
You will meet team and company targets, by working collaboratively and establishing fruitful and joyful communication with your peers. 
 
 
What You Will Bring to the Team: 
 
Bachelor’s degree or higher in Computer Science 
Good knowledge of Python. 
Understanding and experience in Unit Testing, OOP, and design patterns. 
Experience with basic programming concepts (IPC, Multithreading, Shared Memory, Network Programming, Filesystem) and good understanding of operating systems and how they interact with processes. 
Experience with Windows & Linux platforms, and Unix Shell scripting. 
Experience with Git. 
Excellent written and verbal communication (English). 
Demonstrating passion in excellence, determination, ownership of delivered work, and accountability. 
A big appetite and curiosity for automation and learning new technologies. 
Ego-free attitude — we are here for the success of the Team. 
 
  
Bonus Points: 
 
Prior professional experience in Python and Python Unit Testing. 
Prior participation in open-source projects. 
Experience with SQL and relational databases. 
Experience with test automation frameworks such as Robot. 
Experience mentoring other engineers, conducting code reviews, pair programming, etc. 
  
  
Why You'll Love Stonebranch: 
 
Competitive compensation 
Health insurance and pension plan 
Great company culture 
Regular social events 
Work in a motivated, experienced, and international team of top performers 
 
Continuous professional development 
 
If you are interested in this position, please send your CV to hr@stonebranch.com
 
We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class. 
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Табови

д-р Сузана Лошковска

Табови

д-р Димитар Трајанов

Табови

д-р Ана Мадевска Богданова

Табови

Boro Jakimovski Ph.D.

Ecoinformatics (3+1+1)

1. General Information

 

Postgraduate studies in Ecoinformatics strive for top European education and training of staff, who after graduation will be able to meet the needs of industry.

  • 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 Ecoinformatics
  • Scientific-research area: technical-technological
  • Field: Computer Engineering & Informatics
  • Area: eco-informatics
  • 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 Ecoinformatics

 

 

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 Technologyauki 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 electives

РБ New Code / Subject Semester ECTS Prerequisite2
1 CSEW501   Management Information Systems  VII 6 Software Engineering or Software Requirements Analysis
2 CSEW702   Web based systems  VII 6 Web programming or Internet technologies
3 CSEW303   Probability and Statistics  VII 6 Calculus 1, Discrete Mathematics 2
4 CSEW504   Network Services Administration VII 6 Computer Networks, Operating Systems
5 CSEW710   Research methodology in ICT  VII 6 no
6 CSEW711   Modeling and Simulation  VIII 6 Probability and Statistics
7 CSES606    Geographic Information Systems  VIII 6 Databases
8 CSES622    Data Mining VIII 6 Databases
9 CSES805    Intelligent Information Systems VIII 6 Machine learning
10 CSEW517   Machine learning  VIII 6 Probability and Statistics or Business Statistics

 

[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).  

 

3. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester З / И ECTS
1 EI-Z-01 Concepts in Eco-informatics IX З 6
2 EI-02 Ecological modeling  IX З 6
3 EI-Z-03 Implementation of Geographic Information Systems  IX З 6
4 Elective course 1 IX И 6
5 Elective 2 IX И 6
6 EI-Z-04 Knowledge Discovery in Environmental data X З 6
7 Elective course 3 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 Semester ECTS
1 EI-I-01   Requirements Analysis in Ecosystem informatics  IX 6
2 EI-I-02   Monitoring and data processing in environmental engineering  IX 6
3 EI-I-03   Remote sensing  X 6
4 ЕИ-И-04   E-business IX 6
5 ЕИ-И-05   Data visualization IX 6
6 ЕИ-И-06   Digital Marketing  X 6
7 EI-I-07   Advanced Distributed and Parallel Systems IX 6
8 EI-I-08   Internet Infrastructure Management IX 6
9 ЕИ-И-09   Smart Sensor Networks  X 6
10 IT-I-10   Network Virtualization and Cloud Computing  X 6
11 IT-I-11   Data Science IX 6
12 IS-I-04   Mobile web services   IX 6
13 PS-I-08   Linked Open Data X 6
14 PS-I-07   IoT for Environmental Systems 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  

 

[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).

 

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 .