Differential Calculus provides a foundation in calculus, introducing the fundamental mathematical concepts which underpin mathematics at degree level. Calculus is one of the foremost branches of mathematics and its mathematical discipline has a unique legacy over the history of mathematics. This module enables you to use a mixture of numerical and analytical techniques to help achieve a deeper understanding of key concepts. It also embraces topics such as functions, limits, the fundamental theorem of calculus, differentiation from first principles, differentiating hyperbolic functions and inverse hyperbolic functions, improper integrals, numerical solutions, numerical differentiation, numerical integration and approximations to functions.

Digital World: Computer Architecture and Networks explores how the world of the 21st century is underpinned by computing technology while challenging you to envision your future developments as a Computing professional. The module discusses how current and modern computer architectures operates. It also analyses the technology on which computer architecture depends, starting with current central processing units (CPUs) and their instruction sets and progressing to the principles of modern multitasking operating systems that are supported by the underlying hardware architectures. An important aspect of modern computer technology is networking. The module introduces and covers basic principles of networks, their interconnecting components and protocols used in enabling reliable communications.

Discrete Mathematics and Combinatorics explores a variety of topics within discrete mathematics. This is the branch of mathematics that deals with countable sets. The module introduces the concepts of using discrete mathematics to model and solve problems. It provides you with the opportunity to study modern topics within mathematics, gaining an appreciation and understanding of the algorithms involved in the graphs and networks used in computers and route planners such as Google Maps. You will additionally focus on combinatorics, which involves the selecting or counting of objects to satisfy certain criteria and deciding when the criteria can be met. Graph theory, flow, matchings, allocation and transportation will also be introduced, all of which have numerous applications in solving real life problems.

Foundations of Computer Science introduces you to the concepts and practices of problem solving through a series of innovative class seminars and individual experiments.  You will learn to identify a problem, analyse it, and produce a structured solution. Exploring common issues within computing, you will also see how all of the separate areas merge, overlap and depend on each other in order for a robust computing system to be developed.

Programming: Concepts to Construction 1 provides a practical introduction to the fundamentals of an object-oriented approach to software development. You will be introduced to the analytical techniques and processes that are essential for specifying, designing and implementing applications.

Programming: Concepts to Construction 2 provides a practical introduction to the fundamentals of an object-oriented approach to software development. You will explore and develop object-oriented modelling techniques and receive an introduction to programming through event-driven program design and graphical user interfaces.

Applied Industrial Automation develops your expertise in various aspects of robotic programming in industrial applications, including using multi-sensors to collect environmental measurements, designing control strategies and making smart process decisions by finding optimal solutions. Furthermore, you will gain a practical understanding of the key concepts of robotic programming including its hardware, architecture and software solutions.

Employability simulates, as accurately as possible, what it’s like to work in a given Computer Science specialism. You will be introduced to the ‘world of work’ via a simulated work environment, as part of a team representing a fictional company, but which need to produce real products or engage in realistic work-related activities. A 15-day placement will also enhance essential employability skills and provide you with the opportunity to relate theory to practice, build on your transferable skills and evaluate your learning.

Foundations in Robotics and Artificial Intelligence recognises exciting innovations are being built which increasingly automate our world. The foundations of the fields of robotics and artificial intelligence have roots in the work of Alan Turing, investigating the boundary between human intelligence and computers. This module examines how artificial intelligence techniques and principles from biological systems can be applied to robots to control behaviour and sense environments. You will develop an understanding of the theoretical problems, for example behaviour and basics of learning techniques, inherent in robotics and use pre-built robots to design, implement and test different control and perceptual systems. You will develop your expertise in various aspects of robotic programming, including using multi-sensors to collect environmental measurements, designing control strategies and making smart decisions by finding optimal solutions.

Knowledge Representation and Reasoning enhances your programming skills in developing efficient expert systems for addressing a wide range of different complex tasks, such as automated reasoning, theorem provers, natural language understanding and question-answering. You will be introduced to fundamental computational methods for knowledge representation and reasoning such as first-order logic, ontology engineering and propositional and predicate logic. The module will enable you to design, implement and evaluate knowledge representation and reasoning methods and analyse the strengths and limitations of these methods.

Object-Oriented Programming focuses on the object-oriented concepts which underlie the modern system design paradigm. The module presents the concepts behind the object model and its use in modelling and implementing computer applications. You will gain an in-depth understanding of object-oriented modelling concepts and acquire skills in object-oriented programming.

Software Engineering equips you with an in-depth knowledge of the software engineering processes and development models. You will learn about the principles and methods of software engineering, including current and emerging software engineering practices and support tools. The module will also examine the development of software products from an industry perspective, including generation of appropriate documents, under tight schedules and limited resources.

Advanced Robotics and Artificial Intelligence presents an overview about how to model and analyse human and robot behaviour in an algorithmic way. The module also focuses on how to tackle the human-robot interaction and collaboration challenges under the framework of artificial intelligence and robotics. You will develop an understanding of the basic principles about how to design user-friendly human-robot interaction systems, integrate what you have learnt to understand the impact of applications of human-robot interaction systems to modern society, and develop skills in individual thinking, algorithm implementation and teamwork.

Autonomous Secure Systems and Smart Devices deepens your theoretical foundations of ubiquitous computing methods together with the practical aspects of developing secure, smart and autonomous digital devices, from smart phones and wearable devices to household controllers. You will be introduced to the underlying theory underpinning the design and implementation of autonomous secure systems and smart devices. This includes modelling key ubiquitous computing properties, smart architecture models, data analytics and machine learning methods on sensor data, and security management of smart devices such as encryption support for confidentiality and authentication. The practical aspects of the module will enable you to design, implement and evaluate a software system that can be embedded into a smart and secure digital device and critically analyse the strengths and limitations of the developed software system.

Embedded Systems introduces you to the principles of embedded systems as essential tools for enabling many other advanced technologies that we see or experience around us. The basics of the hardware and software unique to microcontrollers, as core components of embedded systems, are introduced. You will have the opportunity to program a microcontroller and apply this skill to communicate with, or control, external devices.

Research and Development Methods prepares you to undertake a software development project or dissertation. The module will enhance your ability to manage an individual project and act autonomously with limited supervisor guidance. You will be introduced to the main methods of research and the contexts in which they are conducted and enhance your understanding of the principles and perspectives of research. Building your practical experience and confidence in using a range of research methods, the aim is to demystify research and recognise the everyday skills and techniques which are involved.

Research and Development Project provides you with the opportunity to show individual creativity and originality and apply appropriate knowledge and skills taught throughout the programme. The module requires you to demonstrate investigative, problem-solving, communication, management and other transferable skills as you undertake an individual  project. You will conduct in-depth work on a substantial problem. This will include researching and analysing the problem and identifying and achieving a solution.

MAT1000 Discrete Mathematics and Combinatorics (20 credits) and MAT1001 Differential Calculus (20 credits) replace SUG1021 Mathematical Proof and Logic (20 credits) and SUG1023 Understanding Continuous Functions (20 credits) as compulsory modules in Year 1.

The programme has received initial accreditation from BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional. Initial accreditation is granted to new programmes which are yet to have a graduating cohort.