This module aims to introduce you to the core programming concepts using procedural programming fundamentals. In addition, you will gain knowledge of variables, operators, and control flow including loops and branches, functions and data types.

In this module we introduce you to basic computing science and mathematical concepts related to software development. Topics covered include set theory, graphs and trees, finite state machines, grammars and languages, propositional logic and searching and sorting algorithms. You’ll put the theory into practice using a programming language and software that lets you directly implement finite state machines.

This module introduces the core fundamental principles of computer networking. You will gain knowledge of the theoretical concepts of networking, such as addressing, switching and routing. Furthermore, you will be exposed to key issues, such as network security, along with typical techniques used to address these issues. In addition to the theoretical aspects of networking, you will plan, design and implement practical solutions using live or simulation tools.

Working as part of a team, this module aims to provide you with an understanding of hardware, software and industry best practices used by businesses. In your teams you’ll be supported in planning, designing and developing a prototype product. This experience has been designed to introduce you to the product development cycle, technology limitations and possible future developments.

This module will provide you with fundamental knowledge of computer hardware and systems software. You will gain knowledge in the fundamentals of computer hardware ranging from basic digital logic to instruction sets and microarchitecture. The practical elements of this module will equip you with an ability to work with basic system software at a machine instruction-level.

This module aims to introduce you to fundamental programming concepts using an object-oriented programming approach. Additionally, you will gain knowledge of high-level notions of algorithms, data structures, and program testing and evaluation.

Working as a part of a team, you’ll have the opportunity to design and develop a software application, or explore some aspect of information systems. You’ll be encouraged to explore theories and principles of team working and project management through the development of your chosen application. Alongside your team work you will also explore important legal and professional issues for people working in the IT industry.

This module introduces fundamental concepts in computer and network security, enabling the identification of vulnerabilities and the selection and implementation of suitable mitigation technologies. Throughout this module you’ll learn about securing data through the use of cryptography, operating system security and multi-user environments, creating secure programs, state-of-the-art methods for identifying potential threats, and legal and ethical issues surrounding computer security. This module teaches a broad range of subjects and you will learn both essential theoretical and practical aspects of computer security. This knowledge is in demand by employees and the module will empower you to start to specialise in security. The module covers issues pertinent to industry such as how to maintain data security through using strong encryption, detecting complex security threats, and also in maintain compliance with the General Data Protection Regulation (GDPR).

In this module you will explore the fundamentals of Digital Forensics (DF), mainly focusing on Computer Forensics. The module establishes the underlying standards, principles, guidelines and best practices of modern digital investigations, also covering the use of latest commercial and open-source DF tools. This highly hands-on module provides you with significant theoretical and practical skills to apply DF in real-world scenarios. Using specialist forensic tools and techniques, you will be taught how to identify, preserve, extract, examine and analyse digital evidence in a forensically sound manner. Furthermore, you will be taught how to write forensic reports associated with the findings and present evidence in a court of law. All these are essential for a career as a Digital Forensic Expert.

Can machines (in particular computers) be intelligent? And what does that mean precisely? These are the main questions that we try to answer in this module. We will explore how machines can achieve intelligent tasks in a variety of settings. In the first half of the module we consider settings with full observability and determinism, these are like laboratory conditions or puzzle games. In this setting, we will look at knowledge representation, problem solving, and planning. In the second half of the module the settings are relaxed, and we will study how to deal with the uncertainties that arise from this. In particular, we will see how to deal with opponents, with incomplete and/or uncertain information, and how intelligent agents can learn.

In this module you will be supported in expanding your programming skills to cover a range of standard data structures (e.g. lists, trees and graphs) and algorithms (e.g. searching, sorting and traversals) for both sequential and concurrent systems. You will also study how to analyse systems in order to determine their complexity, correctness and safety, and to calculate their efficiency.

Computational Mathematics 1 or Operating Systems

This module provides a detailed analysis of a range of techniques for the development of distributed and client-server systems architectures. You will indicatively explore remote method invocation, CORBA (Common Object Request Broker: Architecture and Specifications), web and cloud services. You will also examine some typical distributed systems, including distributed file systems, distributed databases, and other common architectures.

This module aims to provide you with an understanding of computational perspectives of mathematics, with an emphasis on matrix methods and data modelling. You’ll be supported in developing the ability to use both analytical and numerical techniques for solving large systems of linear equations and in analysing the resulting algorithms in terms of robustness, performance, stability and accuracy. You’ll be encouraged to broaden your mathematical understanding by applying your knowledge to real-world problems in developing solutions to a range of computational challenges using industry standard software (such as Matlab).

This module is driven by you. You are asked to select a problem to solve which is relevant to your degree, and of appropriate scope and depth to be tackled within a timeframe of 30 weeks. Carrying out the project enables you to develop and demonstrate your ability to undertake research, manage time, use your initiative, learn independently, discuss and write convincingly on a subject requiring independent learning. A supervisor will support you throughout your project. You’ll use your existing knowledge and be encouraged to acquire additional skills as you carry out your project. The aim of the project is to suggest a solution to an identified problem. Your final report should describe the aims, scope and motivation of the project, the research you have undertaken, and the technical solution provided, including justification for design and development decisions.

This module will go into substantial depth of both pertinent theoretical and practical aspects of cyber-security. You will study advanced cryptographic techniques, biometrics, intrusion detection, data privacy and legal issues, and penetration testing techniques. The module focuses on aspects of cyber security that are aligned with the UK’s National Cyber Security Strategy and prepares you with the necessary skills to have an impactful addition in your future career.

Recent advances in information technology have facilitated massive collection of data in numerous areas, leading to major developments in data-driven Artificial Intelligence (AI) approaches. This module allows you to obtain a fundamental understanding of such approaches, particularly advanced machine learning techniques to construct intelligent systems capable to recognise, classify, or decide, among others. We will consider several widely known approaches, including deep learning, and investigate typical applications and potential limitations. You will learn which techniques are appropriate for which learning problem and their advantages and disadvantages. You will have the opportunity to apply this knowledge using industry standard tools and delve into high profile data-driven applications such as medical imaging and natural language processing.