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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.

 

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 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 .

Statistics for data analysis (3+1+1)

1. General Information

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

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Title of the study program: Second cycle academic studies in Statistics for Data Analysis
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Informatics / Mathematics
  • Areas: Mathematical Statistics and Operations Research, Data Processing, Applied Mathematics and Mathematical Modeling, Programming, Artificial Intelligence, Algorithms, Information Processing .
  • The value of postgraduate studies is 120 ECTS credits.
  • Duration of studies: 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • Requirements for enrollment : according to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 180 credits.
  • Introductory Layer : The introductory layer is the first two semesters in which students are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • Third semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Fourth semester : 1 Mandatory course and 1 elective course, the elective course can be from the University list (only if in the first semester the courses are selected at the Faculty level) and the final project - master's thesis from 18 ECTS.
  • 1 ECTS credit corresponds to 30 hours of total work engagement.
  • The number of contact hours is 4.
  • The academic title or degree obtained upon completion of the studies is Master of Science in Information Science - Statistics for Data Analysis

                Master of Science in Informatics - Statistics for Data Analytics

 

2. Introductory layer

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

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

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

 

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

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 (III and IV semester).

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

 

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

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

 

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

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

 

Table 3 lists the electives from the Statistics for Data Analysis study program. In addition to these courses, the student can choose from all elective courses, defined for all study programs, from the second cycle that are serviced by the faculty. It is allowed to choose one elective subject from the university list nand free electives.

 

 

Table 4: Optional list of offered items

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

 

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

Табови

Nevena Ackovska Ph.D.

Табови

Panche Ribarski Ph.D.

Историјат

Body: 

History

The Faculty of Computer Science and Engineering (FCSE) is the result of the unification of the two largest institutions in the area of informatics and computer technologies in Macedonia – the Institute of Informatics (II) at Faculty of Natural Sciences and Mathematics and the Institute of Computer Technics and Informatics at Faculty of Electrical Engineering and Information Technologies (ICTI).

In the given form, the two institutes are working since the eighties of the last century. II started to work in the distant 1985 year as equitable integral hole of the reunited FNSM under the name Institute of informatics. ICTI originates from the Cathedrae of Technical Cybernetics. In was promoted to the level of a Department in 1982 and then grew into an Institute.

As a result of the extraordinary efforts of their members, and in trend with global growth of the informatics field, this period of nearly 30 yearsfollowed with a continuous growth of the scientific and technical capability of these two institutes. The costantly increasing student interest in thisarea and the development of the two institutes, have led them to becoming the most prominent at ther respective faculties and to serve nearly 50% of the students.

Throughout the period of development, there were many joint projects and research activities, on both personal as well as on institutional basis.Both institutes were in a constant race for improving the quality of the studies, scientific research and applications. This race resulted the end, in one final unifying factor - significant development and growth of informatics in Macedonia and the formation of an extremely strong community ofteachers focused on informatics. Since 2011 they formally begun to walk the path together as the strongest and most advanced scientific researchand educational institution in Macedonia in the field of informatics – the Faculty of Computer Science and Engineering (FCSE).

Табови

Vangel Ajanovski Ph.D.

Табови

Natasha Ilievska Ph.D.

12/02/2019

About MCA

Founded in 2008, MCA is a company built upon the passion and dedication to make our client’s projects and visions come to life by utilizing the latest technologies.Our main clients are American, Danish, Swedish and Norwegian companies. Servicing the telecom, financial and law enforcement industries, MCA is involved in all phases of the development process – from inception, execution to maintenance. Our customers appreciate our one-stop-shop approach, as we provide them with front-end, back-end, mobile and server operations. 

We offer

At MCA you will be challenged daily to produce the best solution possible, with stringent code review from both analyzer tools and your team. Compulsory daily peer reviews, fully tested code, and continuous delivery are what makes our developers code better. To master new technologies, we have weekly tutoring sessions where the teams rapidly gain knowledge and experience.

And it’s not only work, we have parties every week with drinks, foosball, video games...

Your qualifications

We’re looking for passionate developers that have general web frameworks experience (it’s a benefit if you have React/Angular specific experience). Your primary task would be to develop new modules and components for an extensive system. However depending on your experience, you would be welcome to participate with decisions on both UX and the back end.

Interns and Junior Developers

We completely understand that it’s not possible for you to be fully productive without an extensive working experience. For that reason, we have an immersive introductory method that gets all applicants into full gear after two weeks. We make sure that your team members depend on your work in their active project, thus making sure that you get productive as soon as possible.

Apply

For both jobs and internships apply at: jobs@mca.mk

1
28/05/2019

FightCode Dooel is an IT Company located in Gevgelija and it is presenting LUDŌ a web development agency specialized in Open Source technologies, with French Start-up scene as our prime market. Right now It's one of the most exciting markets in the EU:

 

 

  • This year France received more venture capital funding than the UK the European Finance Mecca
  • Most exciting European projects: Blablacar, Docker, Algolia, Datadog.

To build a team of stunning members, we look for self-driven individuals who are passionate about development and solving hard problems.

You will have the unique opportunity of being part of the first 1st batch of junior developer in a new foreign IT company.

The position begins with 3 months of paid training in Front-end React/Angular or Back-end Node.js/Python.

You will gain the latest most sought skills on open-source technologies by building complete MVP.

The session will be held every day on site and mentored by Our tech-guru & CTO Bruno Pereira.

Minimum Qualifications:

  • Students in their final year of Computer Science study.
  • Eager to learn and be challenged
  • Fluent in English.
  • Personal project, coding experience and GitHub is a strong plus!

The Role:

  • Participate faithfully in the training sessions.
  • Implement knowledge and best practices in your work

We offer:

  • Top market salary
  • Brand new equipment (mostly Apple)
  • 3 months of accommodation expenses covered
  • Transport package
  • Fun atmosphere for learning and best summer at the beach in Greece!

If you feel confident and dare to jumpstart your career, please send your CV @jobs.ludotech.co

We will carefully review and treat each application like they deserved to.

Also, you can visit our website to know more about us: http://www.ludotech.co/

1

Табови

д-р Драган Михајлов