Foundation of Computer & IT Systems

Introduction to basic concepts, terminology, fields, and history of computer science, while providing students with the opportunity to develop their academic skills in studying, writing, researching, and presenting scientific topics. The course covers topics such as the history of computation, computational theory, number systems, introduction to algorithms and data structures, microprocessors, machine language and assembly, computer architecture, operating systems, compilers and interpreters, software, hardware, and networks.

Computational Mathematics

Introduction to mathematical concepts and methods primarily applied in computer science, such as set theory, Boolean algebra, logic, differential and integral calculus, linear algebra, graph theory, numerical analysis, and iterative methods.

Programming

Introduction to the fundamental principles, concepts, and practices of computer programming and the development of necessary skills for designing, implementing, and testing simple programmes. No prior programming experience is required, and the entire practice is done using the industry-standard C# language and Microsoft's Visual Studio software development environment.

Fundamentals of Network & Security

The course covers the fundamental concepts of network operation and includes the OSI and TCP/IP models, IPv4 addressing, TCP, UDP, HTTP, and DHCP protocols, routing, switching, and basic LAN network design. Additionally, the course analyzes Ethernet functions in a LAN environment and specifications for designing and constructing a network for a small business.

Computer Systems, Data Structures & Data Management

The course explores two related but distinct fundamental concepts of computational applications in practice: human-computer interaction and data. The course includes product design, user interface design, usability, data representation, data modeling, and data storage. Data structures and their manipulation are implemented using the Java/Python programming languages.

Games Technologies

Introduction to graphics engines using Unity3d. The course explores all the concepts of a game engine and its use in game design and implementation. The course also includes scripting, where students learn to use C# within the Unity3d environment.

English I

Students develop general skills in the English language, such as reading, writing, listening, and speaking, and are introduced to academic English. Additionally, they improve their grammar, pronunciation, and general and specific vocabulary related to computer science terminology. By the end of the course, their proficiency in academic English will be at the intermediate B2 level according to the CEFR, equivalent to IELTS 5.5.

Programming Language Paradigms

The course provides an understanding of different programming paradigms and how they can be used in software development. It offers students the opportunity to further develop problem-solving skills by studying advanced programming languages and new programming examples. Upon successful completion of the course, students learn to demonstrate an understanding of the fundamental differences between programming languages and their applicability to different programming problems.

Legal & Ethical Issues in Computing & Data Sciences

The course provides an introduction to the legal and ethical aspects of computer science. It covers the functioning of professional organizations, including the role of codes of ethics and best practices (BCS). It then covers legal frameworks for data protection, privacy, and security, intellectual property, and cybercrime. Students learn about the most recent applicable laws related to the use of computers and information technology. This legislation pertains to data protection, privacy and security, intellectual property, and cybercrime.

Software Engineering

The course views software development from an engineering perspective and provides the theory and practices for producing software that meets user expectations in terms of quality, functionality, and development within predetermined time and budget constraints. The course examines the Software Development Life Cycle (SDLC) in detail, presenting methodologies for analysis, design, standardization, implementation, testing, installation, and maintenance of programmes.

Network Systems Development

This course covers the development of network systems and protocols and how they are controlled through programming applications. Communication systems are rapidly expanding in scale and capabilities, and this unit will examine client-server and peer-to-peer systems, including bandwidth requirements and availability. At this point, students create network protocol control applications using Java/Python. This unit equips students with the necessary knowledge in programming solutions for network protocol and network communication problems.

Real-Time Environment Development

This course aims to understand the ways of evaluating software before its implementation and final release on different platforms. Different approaches, depending on the platform on which the software will be deployed, not only change the implementation method but also the way in which we test or later maintain the software. It is crucial for students to understand how to independently develop these evaluation methods and support them with appropriate technologies for the intended platform.

Data-Driven Systems

This course explores the concepts, theories, and technologies that support data-driven industrial systems for organizing and retrieving large volumes of data. Students will develop practical skills necessary for designing and implementing robust and scalable databases and gain knowledge of issues related to storing and maintaining large-scale data in applications. They will also examine optimization issues and the development of different database systems.

Team Project

The course aims to cultivate employability skills by introducing students to the "world of work" through a team project. Students will work collaboratively on a software development project, applying their technical knowledge and project management skills to deliver a functional solution. The course focuses on developing communication, teamwork, problem-solving, and presentation skills.

Operating Systems

The course examines the design and implementation of computer operating systems. Students study the design of modern operating systems and apply programming solutions to the implementation of an operating system. They also design and develop programming applications on components of the operating system, such as services and more efficient utilization of hardware, such as multi-core processors.

Concurrency & Communication

This unit explores two closely related topics, Synchronization Systems and Distributed Systems. It analyzes various synchronization control concepts in different systems and their implications for design and implementation. It also investigates the fundamental characteristics of distributed systems, including their models and architectures, as well as the design implications of their software. It examines techniques that have been used for their construction, as well as use cases of well-designed distributed algorithms and applications.

Individual project

The thesis project allows students to demonstrate their ability to develop a substantial piece of work related to their specialization. It can be a significant research piece following a recognized research methodology or the implementation, testing, and evaluation of a significant "design and development" project in the field of computer science. Students are supported and guided by a member of the academic staff, i.e., a supervising professor, but the project is defined and implemented by the student.

Data Mining & Foundations of AI

This unit will introduce students to the techniques and processes of data mining and the foundations of Artificial Intelligence (AI). It will prepare them for the practical use of data mining tools and the application of basic AI algorithms using the Python language. Students will also learn:

• Data mining processes, including data organization and cleansing, applying data mining techniques for pattern discovery, and interpreting results from data mining tools.
• Differences in data mining techniques and determining the most appropriate approach for a given real-world application.
• Fundamental concepts, uses, and techniques in AI.
• Selecting the appropriate AI method for an application.
• Using data mining tools and applying AI methods in practice.

Security Management

This unit examines strategic approaches that can be taken for security system management. It focuses on areas of critical importance for maintaining security in both daily operational bases and crisis situations. It covers information security management and risk management in relation to information technology, networks, information systems, data, and critical business systems. It addresses significant security management principles and operations involved in protecting critical information, network resources, and organizational assets. It provides information on what information/network security experts would do concerning systems and policies to ensure the secure operation of business unit networks and guidelines for recovery in case of a disaster.