Computer Science with Artificial Intelligence

You will be introduced to a practical, hands-on approach to programming where workshops will provide focused practical activity on a managed learning curve. You will learn excellent programming practice through design, implementation and testing, and will be introduced to the basics of structured programming language using an integrated programming environment.

You will strengthen your syntax and semantics base of Java developed in the ‘Programming 1’ module. You will develop an appreciation of recursion as well as your knowledge of dynamic data structures. Additionally, you will learn how to test and debug code, along with an appreciation of more sophisticated programming behaviour.

This module will share fundamental knowledge of database management systems, their design, implementation and applications. It will develop your knowledge and understanding of the underlying principles of relational database management system, and how to implement and maintain an efficient database system.

You will be introduced to the business context and application of computing and information systems. You will explore this through societal, professional, ethical and legal issues surrounding business practices and the theory and process of project delivery to a professional standard.

You will be introduced to theory and practice of website design and development and develop knowledge and understanding of human-computer interaction and techniques for designing and analysing user interfaces. You will also gain skills and practical experience of designing, developing and testing websites using HTML5 & Cascading Sheets (CSS).

This module will provide you with an in-depth low-level knowledge of computer systems, concentrating on computer architecture, operating systems and communications technology. You will also start to develop skills in the use of Unix-like operating systems at command-line level, writing and using simple scripts and batch files and the simple system administration of a standalone Linux PC.

In this module you will be introduced to some of the most important data structures used in the design and implementation of computer software and shown how these are implemented using Java. You will then learn to analyse the requirements of algorithm resources to allow you to provide a sound basis for objective choice when dealing with competing algorithms.

You will receive a broad overview of software development methods and techniques, focusing on various modelling and design approaches. You will develop understanding of the application of generic pattern-based strategies for resolving common high-level problems in object orientated design. You will develop problem recognition and categorisation and learn how (and when) established pattern-based solutions can be identified and applied as solutions.

You will develop a range of employability 'soft skills' to give you an advantage when applying for (and carrying out) a placement as well as graduate roles. Employers value a combination of technical and interpersonal skills. This module will draw from our extensive industry contacts to demonstrate the range of skills needed to succeed in your career and to help you develop a career plan.

This module combines technical work in computer programming with personal-development planning. You will work in a group to design, develop, document, and demonstrate a solution to a problem, working to a professional standard using Java programming. This module also introduces agile techniques and methodologies and provides an opportunity to apply, evaluate, and reflect on these techniques.

You will be introduced to Artificial Intelligence (AI) and Data Mining (DM) techniques for problem solving. You will become familiar with AI techniques and terminology for knowledge representation and searching, and gain an understanding of DM algorithms, and learn how these techniques are used in real world applications.

You will develop data-driven interactive web applications, with client-side and server-side components, using industry-standard software development tools and techniques. You will design, create, test and demonstrate software implementing a data-driven web application, programming, industry standard scripting languages (such as PHP and Javascript), connecting to industry standard databases, identifying security risks, and working within legal constraints such as data protection, accessibility and copyright.

This module covers fundamental and advanced machine learning techniques, enabling the development of models that learn from data and improve over time. You will explore supervised and unsupervised learning, classification, regression, and clustering algorithms, equipping you with the skills to build intelligent systems that can make predictions and support decision-making in various domains.

You will undertake an individual project that demonstrates your understanding of AI methods. You can select your own area of study, identify and develop realistic problems, and, working independently and in a professional manner, organise, sustain, and report on your project in a way which is both detailed and reflective.

Introducing the field of deep learning and its applications, you will learn about the deep learning architectures and algorithms that are used in applications such as face recognition, speech recognition, and medical diagnosis. You will also have the opportunity to develop your professional skills using the Python programming language and a deep learning framework to develop predictive models and applications.

In this module, you will learn how to enable machines to understand, interpret, and generate human languages. The topics include text processing, language modelling, sentiment analysis, and speech recognition. Through practical projects, you will gain hands-on experience in building applications such as chatbots, translators, and voice assistants, enhancing your ability to work with complex language data.

This module explores the collection, storage, and analysis of large-scale data generated by connected devices and sensors. You will learn to use modern big data technologies and IoT frameworks to process streaming data, extract meaningful insights, and design scalable solutions for real-world applications in smart cities, healthcare, and industry automation.

Visual Information Analysis (VIA) is a key component of several real-world applications in the fields of Computer Vision, Artificial Intelligence, Machine Learning, and Big Data analytics. For example, Manufacturing and Production, Retail, Surveillance and Security, Autonomous Vehicles and Transportation, social media and Entertainment, Healthcare, Agriculture, and Inspecting Power Lines with Drones. 

When capturing images using mobile cameras, drone cameras, and CCTV cameras, Visual Information Analysis is essential to understand the content of the images. Therefore, this module focuses mainly on how to formulate an image, represent the image, extract features, and visualise the content in the image for prediction and decision-making.