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Programme:

Computer Sciences (2021/2022)

Module: Software Engineering
Study Cycle: Second Cycle (Postgraduate)
Faculty: Contemporary Sciences and Technologies
Programme Code: MCS-SE120C
Academic year: 2021 / 2022
Title: Master in Computer Sciences - Module: Software Engineering
ECTS: 120 (2 years) Accrediation
Decision:
Elaboration:

Changes in the field of computer sciences and their application are very dynamic. The main challenge of the research and studies in this area is developing new advanced systems and technologies that will provide solutions in the area of information and communication technologies. Information and communication technologies have become the largest, the most important and the most developed sectors that are rapidly expanding in the European Union and the global market. In addition, the emergence of new markets for the software and telecommunications sector in Southeast Europe has led to increased demand for highly qualified and specialized professionals in this field. Graduate students can work as professional software engineers or as software architects in the development of software companies or in IT departments of various different enterprises. The high level of professional skills will enable graduate students to become successful leaders in the software industry. In addition, specialization in four majors such as Data Engineering, Web and Mobile Systems, Software Engineering and Information Systems, will enable graduate students to gain expertise in certain areas and be even more competitive in their workplaces.

The program will supply students with the necessary knowledge and skills so that they can contribute in all aspects of the software development process, including planning, collaboration, specifications, design, development, delivery and maintenance of software products. In addition, students will also acquire general skills, such as analytical and critical thinking, teamwork including multicultural environments, planning and organization. After finishing this program, the graduates will have career opportunities in a variety of industries, mainly fulfilling the needs for designing computer systems, developing software for mobile and Web applications, working as database engineers, managers of software projects and processes, etc. depending on the track the students will choose within this study program. The last semester of studies includes master thesis writing, enabling program graduates to continue their studies towards a doctoral degree in computer sciences.

Knowledge and understanding

Ability to develop and implement original and creative IT ideas to ensure the quality and design and managing applications related to telecommunications applications areas such as security and quality assurance;
Ability to apply IT skills and knowledge and demonstrate specialized competencies in computer sciences and information technologies in order to organize and connect telecommunications processes like a structure that is managed and monitored both in terms of data flow and in terms of creating user interfaces;
Having knowledge and understanding of areas such as computer sciences and engineering (programming, web technologies, databases, networks, computer and information systems and multimedia);
Having knowledge of one or more areas of the telecommunications industry that can upgrade students to expert s in the application of knowledge in a given area;

Applying knowledge and understanding

Ability to critically, independently and creatively solve problems in new and unfamiliar environments with no previous experience in telecommunications;
Planning, management and evaluation of independent research in the field of telecommunications as well as development and implementation of appropriate tools for testing, simulation and implementation;
Creativity and originality in the interpretation of the knowledge in informatics to solve problems related to the objectives of the industrial production area of telecommunications;

Making judgement

Ability for creative integration and synthesis of knowledge from several areas in the telecommunications field, and administration processes and systems using IT tools designed and created for a specific issue.
Creating educational processes using computer tools and techniques;
Ability to deal with complex situations associated with specific processes resulting in real-time telecoms space;
Ability to identify appropriate specialized instances and make sound judgments in situations of lack of complete information or data based on personal, social and ethical principles and responsibilities associated with the application of knowledge and understanding;

Communication skills

Ability to share findings and proposals with rational argument and reliance both with professionals and with unskilled people, clearly and unambiguously;
Taking considerable responsibility in shared outcomes, running and initiating activities, etc.

Learning skills

Ability to take responsibility for continued private study in specialized areas of business and information within the networked economy;
Ability to take responsibility for further professional development and training;

Semester 1

  • [MCS-103] [6 ECTS] Advanced Software Engineering
    The aim of this course is to provide students with knowledge and understanding of advanced software engineering concepts. Initially the students will be introduced to the construction of a clear specification. In addition, the aim is to answer the following advanced aspects of software engineering: What key technical activities are conducted during the clean room software engineering process? How is component-based software engineering used to create systems from reusable components? How does the client/server architecture affect the way in which software is engineered? Are software engineering concepts and principles applicable for Web-based applications and products?
  • [MCS-201] [6 ECTS] Advanced Data Structures and Algorithms
    This course builds on previous knowledge in the area of algorithms and data structures. The goal of the course is to acquaint students with efficient advanced algorithms and adequate data structures that are used to organize, search and optimize data. It also includes the theoretical efficiency of algorithms and its practical determination with in order to be able to compare different algorithms. During the course, students will be introduced to several well-known algorithms, particularly search and optimization in complex nonlinear structures such as trees and graphs.
  • [CCS-802] [6 ECTS] Logical and Functional Programming
    This course aims to introduce logic programming paradigm through Prolog language. The subject focuses on syntax and the semantics of Prolog, the working of a Prolog interpreter and various applications of Prolog. In particular, its application database querying, parsing, meta-programming, and problem solving in Artificial Intelligence (AI).
  • [6 ECTS] General elective course
    • [MFE11] Project Management
    • [?F?12] Optimization Methods
    • [MFE15] IT Applications for Preparing a Scientific Paper
    • [MFE04] Selected Advanced Topics in Applications for Statistical Data Processing
    • [ECS3060] IT Professional Ethics
    • [ECS-507] Numerical Computations
    • [CCS-804] Information Security
    • [EM479] Technologies for Big Data
  • [6 ECTS] Professional elective course
    • [ECSSE-01] Software Project Management
    • [ECSSE-02] Software Testing and Analysis
    • [ECSSE-03] Requirements Engineering
    • [ECSSE-04] Agile Software Development
    • [ECSSE-05] Model-Driven Software Development
    • [ECSSE-06] Software Quality Assurance and Risk Management
    • [ECS4060] Human - Computer Interaction
    • [EMCS-01] Service Oriented Architectures
    • [EMCS-03] Web Engineering
    • [EM480] Multi-Paradigm Programming
    • [EM481] Distribution Systems Software Engineering

Semester 2

  • [MCS-101] [6 ECTS] Advanced Databases
    The course aims are to continue with an in-depth study of databases. The course is a continuation of the same course from the first study cycle; it starts with some revision of the conceptual database design models (a well-known entity relationship model) and continues with the enhanced entity relationship model. The concept of normalization and normal forms is introduced and is used for database design. The course continues with data storage methods, representing data elements, database system architecture, query processing and optimization, transaction processing concepts, concurrency control techniques, database recovery techniques and database security and authorization.
  • [MCS-302] [6 ECTS] Advanced Data Engineering
    The aim of this course is to provide students with knowledge and understanding of advanced software engineering concepts. Initially the students will be introduced to the construction of a clear specification. In addition, the aim is to answer the following advanced aspects of software engineering: What key technical activities are conducted during the clean room software engineering process? How is component-based software engineering used to create systems from reusable components? How does the client/server architecture affect the way in which software is engineered?
  • [CM131] [6 ECTS] Microservices Development
    The aim of this course is: Identify the characteristics microservices and the benefits they provide; Learn how to use the different platforms and frameworks to build truly reactive microservices; Learn how to develop microservices that are maintainable, testable, and scalable; Learn how to use tools such as postman to test microservices; Learn how to design and implement effective tests for microservices; Monitor and maintain microservices in large ecosystems and in the cloud.
  • [6 ECTS] General elective course
    • [MFE11] Project Management
    • [?F?12] Optimization Methods
    • [MFE15] IT Applications for Preparing a Scientific Paper
    • [MFE04] Selected Advanced Topics in Applications for Statistical Data Processing
    • [ECS3060] IT Professional Ethics
    • [ECS-507] Numerical Computations
    • [CCS-804] Information Security
    • [EM479] Technologies for Big Data
  • [6 ECTS] Professional elective course
    • [ECSSE-01] Software Project Management
    • [ECSSE-02] Software Testing and Analysis
    • [ECSSE-03] Requirements Engineering
    • [ECSSE-04] Agile Software Development
    • [ECSSE-05] Model-Driven Software Development
    • [ECSSE-06] Software Quality Assurance and Risk Management
    • [ECS4060] Human - Computer Interaction
    • [EMCS-01] Service Oriented Architectures
    • [EMCS-03] Web Engineering
    • [EM480] Multi-Paradigm Programming
    • [EM481] Distribution Systems Software Engineering

Semester 3

  • [MCS-303] [6 ECTS] Research Methodologies
    The purpose of this course is to provide students with knowledge and understanding of different scientific theories and methodologies. Initially the student will be introduced to the conceptual, theoretical definitions and examples of all existing methods of research, hypothesis, direct and indirect variables, validation of the results, the conclusions BIAS and scientific qualitative and quantitative methodologies, "ground research" methodology and other methodological approaches. In each chapter the student will work on practical assignments. After completing the course the student will be able to explain thoroughly and understand the importance of basic scientific concepts, effectively search and find information-relevant literature, identify, describe and formulate scientific problems, make a careful choice of alternative research approaches, thoroughly described, compare and explain the advantages and disadvantages of different scientific methods for collecting quantitative and qualitative data, apply basic scientific methods to analyze quantitative and qualitative data, understand different frameworks for building theory and review and evaluate scientific publications.
  • [MCS-203] [6 ECTS] Distributed Computing
    This subject introduces graduate students to the advanced topics in distributed computing models, algorithms, and software systems. In particular, the course will emphasize recent techniques used by real-world distributed systems such as distributed file systems, lock services, enterprise data centers, cloud computing, wireless sensor networks and pervasive applications. Case studies on real distributed systems will be conducted, and recent research literature in the subject area will be reviewed.
  • [CM132] [6 ECTS] Software Development for Web and Mobile Devices
    This course aims to provide students with knowledge of the technologies used to build web and mobile applications. In addition to general aspects of specific technologies on different platforms, the focus will be on software development that can run on multiple platforms simultaneously, technologies that are typically based around the JavaScript programming language. In addition to the techniques for developing, publishing and maintaining this type of software, the course will cover the benefits and limitations or difficulties we encounter in developing such software.
  • [6 ECTS] Professional elective course
    • [ECSSE-01] Software Project Management
    • [ECSSE-02] Software Testing and Analysis
    • [ECSSE-03] Requirements Engineering
    • [ECSSE-04] Agile Software Development
    • [ECSSE-05] Model-Driven Software Development
    • [ECSSE-06] Software Quality Assurance and Risk Management
    • [ECS4060] Human - Computer Interaction
    • [EMCS-01] Service Oriented Architectures
    • [EMCS-03] Web Engineering
    • [EM480] Multi-Paradigm Programming
    • [EM481] Distribution Systems Software Engineering
  • [6 ECTS] Professional elective course
    • [ECSSE-01] Software Project Management
    • [ECSSE-02] Software Testing and Analysis
    • [ECSSE-03] Requirements Engineering
    • [ECSSE-04] Agile Software Development
    • [ECSSE-05] Model-Driven Software Development
    • [ECSSE-06] Software Quality Assurance and Risk Management
    • [ECS4060] Human - Computer Interaction
    • [EMCS-01] Service Oriented Architectures
    • [EMCS-03] Web Engineering
    • [EM480] Multi-Paradigm Programming
    • [EM481] Distribution Systems Software Engineering

Semester 4

  • [30 ECTS] Master Thesis
    This module enables students to transfer their skills and knowledge to research and carry out more complex tasks related to their master thesis. The module is designed to be fully practical and students to acquire the necessary knowledge and skills to approach writing the thesis. The module has unique return result-to enable students to write the master thesis with minimal difficulties, and with maximum efficiency. The course aims to improve research techniques and style of writing the paper, taking into account the prevention of the usage of illegal means, such as plagiarism and infringement of copyright, which are prohibited by the Statute of SEEU.
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