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Резултати од пребарување

10/03/2022

We are excited to announce the launching of an internship program for aspiring frontend and backend developers at Metergram, from April 1st to June 30th 2022.

 

We are looking for current Computer Science or Computer Engineering students to join our software development internship. If you are a current student and are interested in building software using state-of-the-art technologies (AWS, Serverless, Node.js, React, Redux, etc) then this exciting opportunity is for you.

You’ll fit right in if you…

  • Got good vibes
  • Like working with nice people
  • Never get tired of learning
  • Love a good challenge
  • Are passionate about programming

Preferred Qualifications

  • Demonstrated ability to do analytical problem solving
  • Good understanding of the general concepts of object-oriented and functional programming
  • Good understanding of relational databases and operating systems
  • Understanding of all the phases of the software development cycle (SDLC)
  • Preferably near the end of the studies (3rd or 4th year)
  • Bonus skills: JavaScript, TypeScript, SQL, REST APIs

You will learn about…

  • How to apply the best practices in Web development
  • Building modular, loosely coupled Web applications and services
  • The most important design patterns and principles for building modern Web services
  • Working with modern technologies like Node.js, React, Serverless framework, etc.
  • Amazon Web Services, when and how to use them
  • Source control (Git)
  • How to work in a team and communicate on a daily basis
  • The Scrum and Agile methodology

You will work on…

  • Specific tasks provided by your mentor who will guide you through the whole process
  • Writing integration and unit tests using Mocha and Chai framework
  • Real-world applications using modern Web technologies with an emphasis on Node.js, React and AWS

You can expect…

  • To become part of a fast-growing company and an amazing team of professionals
  • To experience a company culture that respects diversity, individuality and equality
  • To participate in various projects learning to work on state-of-the-art technologies
  • To gain knowledge, guidance and mentorship from experienced developers and excellent IT professionals
  • To be guided and mentored through the process
  • To learn about effective communication and collaboration with team members and clients

You will get…

  • 400 EUR gross per month
  • Flexible work hours during the week, weekends off 
  • Possibility to work remotely, hybrid or in an office, it is completely up to you
  • Great office location in the city center and a comfortable work environment
  • Excellent employment opportunity after the end of the program

 

We are looking forward to receiving your CVs at jobs@metergram.com

 

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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.

Ecoinformatics TEMPUS (3+1+1)

Ecoinformatics TEMPUS (3+1+1)

1. General Information

 
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 предмети од кои еден може да биде од Универзитетската листа.
  • Втор семестар: 1 задолжителен и 1 изборен предмет, од кои еден може да биде од Универзитетската листа (само доколку во првиот сместар 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. 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 Discrete mathematics
 2  Information systems VII 6 Databases
 3  Elective course 1 VII 6  
 4  Elective course 2 VII 6  
 5

 Elective course 3

VII

6

 
 6

 Geographic information systems

VIII

6

 
 7  Data mining VIII 6  
 8  Elective course 4 VIII 6  
 9  Elective course 5 VIII 6  
10  Elective course 6  VIII 6  
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite
 1

 Distributed computer systems

VII

 6 Computer networks, Databases
 2  Artificial intelligence VII 6  
 3

 Web-based systems

VII

6

Computer networks, Databases
 4

 Embedded computer systems

VII

6

Computer networks
 5  Network programming VII 6  
 6  E-commerce and m-commerce VII 6  
 7 Алгоритми за анализа на податоци и складишта на податоци VIII 6 Databases
 8  Intelligent information systems VIII 6  Information systems
 9  Mobile information systems VIII 6  Information systems 
10  Elective course from University list of available courses   6  
 
2.1 Studies
 
Courses for the Master studies for the study programme Ecoinformatics can be found at this link.

Табови

Ivan Chorbev Ph.D.

Intelligent systems (4+1)

1. General Information

 

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

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

 

-Master of Information Science and Computer Engineering in Intelligent Systems

 

 

2. Studies

Table 3: List of Postgraduate Courses

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

 

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

 

Table 4: Electives

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

 

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

Computer Science (4+1)

1. General Information

 

Postgraduate studies in computer science strive for top European education and training of staff, who after graduation will be able to meet the needs of both commercial companies in the information industry, as well as top scientific research institutions in the country and abroad. .

 

  • 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 Computer Science
  • Scientific-research area: natural-mathematical
  • Field: Informatics
  • Area: Information Systems and Programming, Computing Integrated Methods and Applications, Algorithms, Optimization, Simulation, Software Development and Databases.
  • The value of postgraduate studies is 60 ECTS   or   120 ECTS   credits.
  • Study time: 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 course and 1 elective, which can be from the university list (only if in the first semester the courses 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   Computer Science

 

2. Studies

Table 3: List of Postgraduate Courses

РБ CODE / Subject Semester M / E ECTS
1 KN-Z-01 Advanced algorithms  IX M 6
2 KN-Z-02 Optimization methods  IX M 6
3 KN-Z-03 Formal methods IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 KN-Z-04 Research methods and writing techniques 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 elective courses 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 KN-I-01   Modern simulations and modeling  IX 6
2 KN-I-02   Big Data Concepts and Applications IX 6
3 KN-I-03   Database Performance, Reliability and Security IX 6
4 KN-I-04   Complexity Theory and Coding  IX 6
5 KN-I-05   Text-data processing IX 6
6 KN-I-06   Modern trends in parallel processing IX 6
7 КН-E-07      
8 КН-E-08   Big Data Modeling and Management X 6
9 KN-I-09   Bayesian Data Analysis  X 6
10 KN-I-10   Business process mining  X 6
11 IS-Z-02    Advanced artificial intelligence and machine learning  IX 6
12 СE-E-01   Time series analysis and forecasting  IX 6
13 BK-I-07   Mathematical Logic for Computer Science IX 6
14 IT-I-05   Data visualization IX 6
15 IS-I-16   Computational Game Theory  X 6
16 BC-I-08   Advanced Algebraic Structures 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

д-р Весна Димитрова

Табови

д-р Андреа Кулаков

26/08/2024

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