This module provides first-year undergraduate students with foundational knowledge of Generative AI technologies, their ethical implications, and practical applications. Through a combination of theoretical discussions and hands-on workshops, students will develop critical thinking skills to evaluate generative AI systems, understand their societal impact, and apply these tools ethically within their respective disciplines. Students will gain practical experience with prompt engineering, learn to identify AI-generated content, and explore discipline-specific applications. The module begins with core concepts common to all students, followed by discipline-specific applications tailored to Business Studies, Psychology, Computer Science, English Language Linguistics and Literature, and Communication and Digital Media.

This hands-on module equips first-year undergraduate students with essential digital skills through practical experience with cloud-based productivity tools and discipline-specific applications. Students will develop competencies in collaborative document creation, data analysis, presentation design, and digital organization. The module emphasizes cloud computing concepts, collaboration techniques, and effective digital workflows. Following a common foundation in such tools, students will explore specialized applications relevant to their academic disciplines (Business Studies, Psychology, Computer Science, English Language Linguistics and Literature, and Communication and Digital Media), preparing them for academic success and future professional environments.

The aim of this module is to introduce to students contemporary technologies used for website development, and to help them gain the skills needed in developing websites and programming software.

In the twenty-first century, individuals working in organizations must develop effective management skills to navigate increasing global competition. These skills are essential for organizations to differentiate themselves, maintain a competitive advantage, and achieve long-term success. This course provides students with a comprehensive introduction to foundational concepts, theories, and practices central to effective business management. It explores core functions such as planning, organising, leading, and controlling, with a focus on applying these functions to real-world business challenges. The module emphasises the importance of organizational structure and design, illustrating how different structures can affect managerial decision-making and overall performance. Additionally, it highlights the human side of management, examining key motivational theories and the complexities of various leadership styles. In a business landscape increasingly shaped by ethical concerns and the rise of AI, students will also be equipped with the tools to address ethical dilemmas and comprehend the social responsibilities inherent in management roles.

This module is a continuation of the module Programming Principles and Algorithms, introducing students to further fundamental constructs and practices required for the procedural development of software in the Java programming language. Emphasis is placed on problem analysis, developing algorithmic thinking skills, and testing one’s code.

This module is the continuation of Database Systems I and presents the concepts and principles of database systems and examines key issues of the database approach to information storage and manipulation. It focuses on relational databases, explaining the modeling concepts of the Entity Relationship Diagram as a high-level conceptual data model, discusses in detail the relational data model and presents the structured query language. The module also covers more contemporary and advanced issues in data management and the digital transformation age, such as how databases fit in software development overall, as well as NoSQL DBs, Big Data concepts, transaction processing and cloud databases and computing.

Information Systems are highly integrated into our daily business activities. They are vital components of successful businesses and organizations and therefore they constitute an essential field of study in the modern Digital Enterprise. Information Technology can help all kinds of businesses improve the efficiency and effectiveness of their processes. As a consequence, effective managers need to remain current in terms of the IT available and to acquire the concepts and skills involved in analysing, designing and implementing Management Information Systems (MIS). This module introduces the students to the concepts which are necessary for the effective cooperation between managers, system analysts, and other IT professionals. It intends to provide the theoretical background as well as the practical skills for using and analysing digital information.

This introductory module provides an understanding of fundamental mathematical models, formalisms and methods required for the study of problems related to Computer Science. The module has been designed to satisfy the mathematical competency required for a first-year student in Computer Science, and deepen the student’s understanding of the use of abstract mathematical models in Computer Science. It covers Logic, Automata Theory and Graph Theory.

The emergence of networked computers as the computing platform for many applications affects every aspect of the study and use of computing. This module introduces modern communication systems. It offers a comprehensive overview of the fundamental principles, theories, and practices employed in computer networks and aims to develop a foundation that can be used as the basis for further study or research in the field.

This module is a continuation of the module Introduction to Object-Orientation, introducing more advanced concepts of object-oriented programming, such as polymorphism, design with interfaces, and error handling. Graphical User Interfaces are also introduced for the creation of user friendly applications.

This module is an introduction to Cloud Computing. It explores a range of seminal principles, techniques, and technologies underpinning Cloud Computing. It also provides the theoretical foundations, as well as hands-on training, on developing and deploying cloud-native applications.

Data science is nowadays one of the highest-paying graduate jobs. This module aims at introducing students to the fundamental mathematical concepts pertaining to data science. Students will learn how to further use their previously acquired knowledge of database systems, probabilities, and statistics concepts. They will a gain experience in cleaning, transformation, data analysis as well as data visualization. The module has a practical dimension through the use of an appropriate programming language. It will mainly work as an introductory module to Machine Learning.

The undergraduate individual project is an extended piece of individual work, occupying your time throughout Stage 3 of your undergraduate studies. Students work on a topic that interests them and have regular meetings with their supervisor to discuss their work.

It involves two aspects:

• The work students do and the processes they follow towards solving a problem, leading to the development of a software product.
• The written report, formally known as dissertation, they submit at the end, reporting all their work, findings, and results

The purpose of this module is to provide students with the opportunity to integrate and apply the skills and the knowledge they have acquired so far in their studies to a realistic problem. Students are exposed to the processes involved in the team-based development of software through real projects that are provided by companies from the software industry.

This module presents advanced as well as contemporary issues of data communications and computer networking. It provides students with the ability to utilise previous knowledge of computer networks in order to gain a thorough insight of data exchange. Important and crucial subjects related to networking are examined and new technologies and infrastructures are explored. It covers a broad range of network-related issues, focusing on the higher layers of the protocol stack. Moreover, it elaborates on the socket programming paradigm.

The Professional Development Seminar Series is a 0-credit module that aims at enhancing students’ skills on contemporary ICT topics, which can contribute to advancing their employability. The seminars are open and mainly target near-to-graduation undergraduate students. They address practical/hands-on skills and are delivered by industry experts based on real-world cases. The diversity of the considered topics aims at providing high coverage on a wide area of ICT-oriented subjects. Along with skills enhancement, the series also includes seminars that improve students’ professional attributes by addressing various issues related with the acquisition of a professional position. It is highlighted that the seminars are in full agreement and contribute to the implementation of CITY’s and the Department’s strategic goals on enhancing students’ experience and industry links, which enable the development of an outstanding employability profile.

The module aims to develop an understanding of the problems involved in the development of high quality software products and appreciation of the methodologies, techniques, and tools necessary to develop such systems efficiently. The emphasis of the course is placed on project management, metrics and project estimation, risk management, quality issues, testing, and contemporary software engineering topics, such as extreme programming and refactoring.

Continued from semester 7.

Continued from semester 7.

This module introduces the students to the notion of agents and agent-based software development. The students will learn about single and multi-agent environments, and the issues and problems associated. In addition the students will be introduced to robotics as a field of science from a computer science perspective, with a focus on mobile robots. This focus will help to tie up the two subjects. The students will have to apply what they learn to a realistic scenario that will be solved with mobile robots (in a real environment, using the Lego Mindstorms platform).

Any modern web application requires data to be stored and retrieved, business logic and rules need to be followed, and results need to be calculated. Often called the ‘back-end’, this behind-the-scenes functionality is crucial for any reliable and scalable web application. The module aims to provide students with the necessary skills and knowledge in order build reliable, scalable, fast and robust back-ends for web applications.

Big data refers to large and complex collections of data sets that cannot be dealt with common data management approaches and techniques. The module will address fundamental aspects, challenges, and possible solutions for Big Data analytics.

Deep learning is a hot topic that has found multiple areas of application in the industry and business. Deep learning is the extension of Neural Networks (NN) that includes some new developments in training algorithms and uses the versatility of the computing power and data storage of the cloud. The module briefly introduces neural networks, explains how they work, how they are trained, and how they are deployed. Furthermore, it discusses the recent developments in training algorithms, NN structures, and cloud deployment, to conclude with the practical application of Artificial Intelligence solutions that we now call Deep Learning.

E-commerce is nowadays a fact. Its sharp usage increase, along with the systematic progress of Information and Communication Technology (ICT) has greatly influenced every aspect of our daily lives. This module provides balanced coverage of both technology and business aspects of e-commerce and digital markets. The current e-business and revenue models, as well as the ICT technologies required for e-commerce activity are discussed. In addition, marketing and advertising concepts that play a vital role in contemporary e-commerce and how these impact on online consumer behavior is deeply analyzed. The module, also, presents the importance of customer relationship management and supply chain management systems in online purchasing and emphasizes the importance of B2B e-commerce in current enterprising world. Last but not least, topics such as m-commerce, social commerce and e-commerce payment systems are discussed.

This module will enable the student to acquire the knowledge and develop the skills they need in order to be able to make front-end websites from scratch. They will learn to use contemporary frameworks (such as HTML5, CSS3, JavaScript, React and Angular) in building modern, high-quality, aesthetically pleasing, and fully functional websites.

This module provides an introduction to the underlying concepts underpinning the theory and practice of game development, design and production. Specifically, this module will provide an overview of the design of videogames, how games are produced, languages and architectures involved in game design, important theoretical issues in game development like graphics, physics and 3D modelling and animation. It will also tie up with issues discussed in Artificial Intelligence modules.

This module introduces the field of information security as an important area of advanced computer science and provides a broad overview of information security. The course will provide a solid theoretical foundation, as well as real-world examples, for understanding computer security. Fundamental theoretical results, foundational models, and salient examples will be covered. Security in computer data, operating systems, and networks will be covered, with emphasis on applied cryptography and program security. Students can expect to leave the class with an understanding of the theoretical underpinnings for information and computer security, an appreciation of the strengths, weaknesses, and limitations of the major theories, and an understanding of the application of computer security theory to real-world systems. Students will also gain experience and insight into the application of theory to practical systems.

Innovation is both a survival and a growth imperative. It depends on a complex set of variables reflecting individual, group, organizational, and contextual factors. Although Innovation plays a very important role to both established organizations as well as to start-up organizations, even established organizations often lose their edge, finding their very existence to be threatened by their inability to generate and sustain innovation. 

Creativity, innovation and entrepreneurial skills are considered extremely important in the modern business environment since they can lead to new products/services which are the lifeblood of successful organizations. The IT sector offers a fertile environment for entrepreneurial endeavours capitalizing on the innovative features and the rapid technological developments in the global economy. The focus of this module is to build management, creativity, innovation and entrepreneurial skills among the computer science students, and offer them their first experience in the new product development process. It will draw on various theoretical foundations and business cases to develop an understanding of the factors that lead to successful innovation. It is through this knowledge, entrepreneurs can recognize opportunities, acquiring and mobilising the physical resources, building financially sustainable and scalable business models that create value for the market and society.

In the emerging Digital Economy, information is a vital organisational resource that needs to be managed like other important business assets. Powerful technologies allow vast amounts of data to be stored, organised and analysed in order to provide accurate, consistent and complete information which can be used to develop new businesses, achieve operational excellence and guide decision making. This module examines the managerial and organisational requirements, as well as, the technologies and applications for managing data and information. It addresses the opportunities and the competitive advantage of information technology utilisation to support the organisational processes and provides insight in the decision making process.

In a rapidly changing world where the trend is that almost every aspect of our lives becomes infused with smart/intelligent products and services, innovation is a goal in itself. This module offers an overview of various scientific fields and knowledge technologies (a lot of them belonging to or intersecting with the wider artificial intelligence area), together with a series of examples and case studies, to clearly demonstrate their applicability and potential for innovation.

Machine Learning (ML) is the part of Artificial Intelligence (AI) that studies how computers build experience and autonomously learn from data. The module will follow the standard machine learning taxonomy for organising problems and applying solution techniques, and will provide a thorough grounding in the theory and application of machine learning.

The principles of designing and implementing applications for mobile devices will be provided, taking into consideration resources constraints and special human-computer-interaction issues, while taking a special focus on how they interact with the various mobile networks. Students are introduced to the programming environment for application development using the Android operating system and have a hands-on approach to programming using appropriate programming languages.

Many of the successful algorithms we use today for AI and optimisation are inspired by nature. This module explores the algorithms that were inspired by nature and provides a solid foundation for the broader field of AI-inspired computing, by investigating intelligent agents, evolutionary computing, and artificial life. All these concepts are not only discussed in theory but are also implemented as software solutions.

The advancements of social media and social networking websites are revolutionising and facilitating the way people communicate, interact, generate and share information. Drawing upon technological, social, cultural, psychological and organisational perspectives, this module presents underlying concepts and critical issues of social media and social networks and examines contemporary and emerging platforms, applications and technologies that enable and facilitate social communication.