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Табови

д-р Невена Ацковска

Табови

д-р Андреа Кулаков

14/03/2023

Во BI&DWH има седум отворени позиции:

Data Analyst

What you do

Producing reports using data collected from different databases

Data analysis and troubleshooting

Analyzing requests from other business units and translating them into coherent and easily presentable reports

Create dashboards that consolidate and organize business KPIs that are informative, intuitive, and actionable using modern visualization tools

Reviewing and validating data quality

 

What you offer

Strong analytical skills to help collect, measure, organize and analyze data

SQL knowledge

Knowledge of data visualization tools (like Microsoft Power BI)

Knowledge of Data Warehouse, databases and ETL processes

Self – Starter

Curious and forward-looking

Agile and responsive

An understanding of the ethics of gathering and working with sensitive or confidential data

 

DWH Developer

What you do

Thorough understanding of Data warehousing concepts

Develop, improve, test and integrate ETL Data Warehouse and Business Intelligence Solutions

Building dimensional models based on user requirements

Identifying data sources and working with source system team and data analysts to define data target solutions

End to end responsibility for specification and implementation for various areas in DWH model for tel-co industry

 

What you offer

University Degree - IT, mathematics, telecommunications or similar

Relevant working experience in DWH/BI environment

Good knowledge in writing complex queries in SQL

Understanding of Data Models: Conceptual, Logical, and Physical & Dimensional/Relational Data Model Design.

Proficient in ETL development tools for Teradata (Fast Load, BTEQ, Fast Export)

 

Data Engineer

What you do

Design, create and maintain data architectures that enable data extraction and transformation for predictive modeling

Design, implement, test, deploy, and maintain batch and stream data processing solutions

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

Build cloud, scalable, real time, and high-performance data lake solutions using Azure stack

Maintain data dictionary documentation on ML datasets

Create data tools for analytics and data scientist team members

 

What you offer

Degree in Computer Science or related fields

Advanced SQL proficiency

Knowledge of scripting languages (e.g. python, bassh, shell)

Experience building and optimizing data pipelines, architectures and datasets

Experience with cloud platforms (MS Azure, AWS, Google Cloud)

Experience with data pipeline and workflow management tools (e.g. Data Factory, Informatica, SSIS, Pentaho…)

Design and development of ETL/ELT workflows

Familiarity with source control tools (e.g. Gitlab, Github, Bitbucket) and CI/CD process

Strong problem-solving skills

Plus points:

Knowledge of Azure services- Synapse, Data Factory, AML Studio, Azure Data Lake, Azure Databricks

Hands-on experience on big data frameworks like Spark, Kafka

Experience working on real-time data and streaming applications

Knowledge of python and python data packages (e.g. numpy, pandas…)

Machine learning concepts

 

Customer Service Data Analyst

What you do

Explore creative and innovative ways to make customer feedback more accessible, more accurate, and more meaningful.

Innovate and experiment with ways of collecting, measuring, and examining data that lead to useful analysis and business insights, detect customer pain points and customer needs to improve customer experience.

Design and develop useful metrics, predictive models, dashboards, analysis, and data reporting to support a variety of Customer Service needs.

Builds tools to bring customer insights to drive data-driven actions.

Create presentations that simplify complex ideas, focus on actionable results/insights, and showcase the power of customer data for better customer experience.

 

What you offer

Strong background in statistics and data analysis

Strong applied mathematical, statistical, and analytical skills to design and interpret predictive, descriptive, and inferential statistics

Data visualization aptitude using both quantitative and qualitative data

Demonstrated experience with business intelligence visualization tools

(e.g., Qlik Sense, Tableau, or Power BI)

Intermediate MS Office skills, especially Excel and PowerPoint

Strive for higher levels of achievement and ability

 

Digital Transformation Specialist

What you do

Create, develop and articulate a vision, strategy and roadmap for delivering the best customer experience on the web and online platforms.

Build consensus and alignment with cross-functional team, buy in from stakeholders and senior leadership.

Integrate usability studies, research and market analysis, into product requirements to drive impactful, premium user experiences.

Gather, analyze and document customer’s business requirements including information on products and services offered by competitors.

Understand market needs and user pain points and translate them into product solutions and write the product requirements.

Translate requirements and specifications for new features into user stories and associated acceptance criteria, and partner with design, engineering and analytics to follow through to execution.

Define and analyze metrics that inform the success of products, discover optimization opportunities, hypothesize, and launch A/B tests to inform product decisions.

Measure post-delivery performance and optimize to drive customer experience benefit and cost savings.

Lead cross-functional commercial and IT teams in local and A1 Group-driven projects.

 

What you offer

2+ years of web product development experience;

Experience in working with partners, vendors and stakeholders;

Experience in making data-driven decisions (A/B experimentation, user testing, data analysis, competitors and market analysis, defining metrics);

Experience with UX, user flows, wireframes and prototyping;

Experience in Agile/Scrum and traditional SDLC methodologies;

Fluency in JIRA, MS Office and Analytic tools (Google Analytics preferred);

Degree with focus on E-Business, Marketing or related areas, or equivalent combination of education and experience;

Challenges the status quo, and is not afraid of doing whatever needs to get done to unblock yourself and the team;

Strong capability to think strategically;

Proactive, initiative and confidential personality;

Fluent in English both verbally and written.

 

Video Service Engineer

What you do

Participate in the process of development and operations of video platforms (Cable, Terrestrial, IPTV, OTT, etc)

Take part in implementation and testing process of Set Top Box (STB) devices and Smart TV/OTT applications.

Hold a Standby duty (on-call) according to a rotation schedule with other colleagues from the unit.

Prepare technical reports and perform analysis of statistical report on video service related KPI-s.

 

What you offer

University degree in Engineering/Computer Science disciplines.

Experience with good system engineering practices and vendor engagement.

A working knowledge and experience with some of the following technologies would be an asset:

Digital video system solutions (Cable, Terrestrial, IPTV, OTT, etc.)

Working knowledge with video/audio compression formats

Video processing equipment

Basic Linux & Unix operating system knowledge

Content protection (CAS/DRM)

Basic IP network knowledge (unicast and multicast)

 

Video Services Intern

What you do

Assist with video equipment installation & configuration

Assist with channels reception & processing

Assist with test of latest software builds of STB

Assist with test of new application versions for OTT & Smart TV/Android TV

Track and report data from service quality monitoring platforms

 

What you offer

Current enrollment in a bachelor’s degree program

Prior internship experience is a plus but not required

Experience using Linux & IP networks is a plus but not required

Strong desire to learn along with professional drive

Passion for the telecommunication industry and its best practices

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Табови

д-р Марија Михова

Security, cryptography and coding (4 + 1)

1. General Information

 

Postgraduate studies in Security, Cryptography and Coding aim at a top European education and training staff, which after graduation will be able to meet the needs of the 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 Security, cryptography and coding
  • Scientific-research area: technical-technological sciences, natural-mathematical and sciences
  • Field: Computer Science and Informatics, Informatics
  • Area: Other ( Computer Security, Cryptography, and Coding)
  • 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 consists of subjects and the final project, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in computer science or computer science with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory 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 security, cryptography and coding

2. Studies

Table 3: List of Postgraduate Courses

РБ New Code / Subject Semester M / E ECTS
1 BK-M-01 Advanced Information Security   IX M 6
2 BK-M-02 Applied cryptography   IX M 6
3 BK-M-03 Coding Theory  IX M 6
4 Elective 2 IX E 6
5 Elective 2 IX E 6
6 BK-M-04 Computer Security X M 6
7 Elective course 3 X E 6
8 Master Thesis X M 18

 

When choosing the courses, at least one elective course should be chosen from the offered elective courses in Table 4. The remaining elective courses can be selected from courses offered in all directions of the second cycle of studies at the Faculty of Information Sciences and Computer Engineering, and one of the electives can be chosen from the University list of courses of the second cycle of studies.

 

Table 4: Electives

< <

РБ New code /   Subject Semester ECTS Fund hours
П | В
1 BK-E-01   Security for mobile and web applications X 6 30 30
2 BK-E-02 Biometric systems   IX 6 30 30
3 BK-E-03 Provable security X 6 30 30
4 BK-E-04  Cryptanalysis  X 6 30 30
5 BK-E-05  Cryptographic Engineering   IX 6 30 30
6 BK-E-06  Cryptographic Protocols  X 6 30 30
7 BK-E-07  Mathematical Logic for Computer Science IX 6 30 30
8 BK-E-08  Advanced Algebraic Structures X 6 30 30
9 BK-E-09 Advanced communication channel coding algorithms X 6 30 30
10 BK-E-10  Applied Information Theory IX 6 30 30
11 BK-E-11 Stochastic Processes IX 6 30 30
12 BK-E-12 Change and Risk Management    IX 6 30 30
  Selection from University List of Free Courses   6 30 30

 

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 (4 + 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. Studies

Table 3: List of Postgraduate Courses

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

 

The following table shows the electives from the study program

Table 4: Electives

РБ New code /   Subject Semester ECTS
1 PS-I-01   Data Analysis from Related Systems X 6
2 PS-I-02   Sensory data fusion IX 6
3 ПС-E-03   Smart mobility X 6
4 PS-I-04   Smart IoT Contracts IX 6
5 PS-I-05   Smart Energy Networks IX 6
6 PS-I-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-E-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 IT-I-04   E-business IX 6
13 IT-I-11  Smart Sensor Networks X 6
14 IT-I-13   Network Virtualization and Cloud Computing X 6
15 IT-I-18   Data Science IX 6
16 EС-E-21   Sensor-robotic systems X 6
17 СE-E-01   Time series analysis and forecasting  IX 6
18 EI-Z-03  Implementation of Geographic Information Systems  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 .

Cloud computing (4+1)

Cloud computing (4 + 1)

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

 

The Cloud Computing Studies program is compatible with the respective studies offered at most of the world's universities that support this current topic and enable student mobility.

  • 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 Cloud Computing
  • Scientific-research area: 2 technical-technological
  • Field: 212 Computer Engineering & Informatics
  • Area: 21208 other
  • The value of postgraduate studies is 60 ECTS credits .
  • Duration of studies: 2 Semesters .
  • One academic year consists of two Semesters lasting 30 weeks (1 Semester = 15 weeks).
  • Admission Requirements : Cloud computing students can enroll in graduate students who have 240 or 180 undergraduate credits.
  • 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, 1 elective general education course, 2 elective courses in the field, one of which can be from the list of free elective courses 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 final 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. Studies
 

Table 1: List of Postgraduate Courses

 

 

Name of the subject

Status

Semester

ECTS

1

Virtualized Data Centers 

З

winter

6

2

Scalability and multitenancy for SaaS applications 

З

winter

6

3

Elective general education subject *

И

winter

6

4

Elective

И

winter

6

5

Elective

И

winter

6

6

Elective

З

summer

6

7

Elective

И

summer

6

8

Master Thesis

З

summer

18

* Select one item from Table 2

Table 2. General education subjects  

 

Code

Name of the subject

Status

Semester

ECTS

1

СЕ-И2-08

Business modeling 

И

winter

6

2

ОО-З-01

Research Methods and Writing Techniques

И

winter

6

3

СЕ-И1-04

Privacy, ethics and social responsibilities

И

winter

6

2.1 Electives

Configure
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   овој линк.

Computer Sciences (4+1)

Computer Sciences (4+1)

1. General information
 
The Postgraduate Studies in Computer Science are committed to excellent European education. We train highly skilled professionals who will be able to meet the needs of both IT companies and leading-edge scientific research institutions in the country and abroad.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE (FINKI)
  • Study programme: Academic master studies in Computer Science
  • Scientific Research Area: Natural Sciences and Mathematics
  • Scientific-research field: Informatics
  • Category: Information systems and programming, integrated computing methods and applications, algorithms, optimization, simulation, software development and databases.
  • 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 + 1 elective course (the elective course can be chosen from the courses list offered by the University)
  • Second semester: 3 elective courses (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 are 4. 
Degree: Master of computer science and engineering in the field of Computer Science 
 
2. Studies
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS
 1   assoc. prof. Ana Madevska Bogdanova, assoc. prof. Marija Mihova, assist. prof. Anastas Mishev, assist. prof. Boro Jakimovski

 Advanced algorithms

IX

 6
 2  assist. prof. Boro Jakimovski, elect. assist. prof. Jasen Markovski  Formal methods IX 6
 3  prof. Vancho Kusakatov, prof. Margita Kon-Popovska, assist. prof. Vesna Dimitrievska Ristovska

 Optimization

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

X

6
 6    Elective course X 6
 7    Elective course X 6
 

Табови

д-р Ивица Димитровски

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.