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The first part of this module aims to provide you with some insight into the complexity and diversity of human interaction with technology and user centred design – but it is not simply about computers. Every day we interact with a wide variety of systems, web sites, machines, etc. that sometimes help us to achieve our goals, but very often don't. This part of the module aims to identify and explain why we easily become frustrated and confused when using systems. It draws from the philosophy of technology, psychology and empirical studies of interface design and aims to discuss some of the underlying principles of design and theories of human cognition.

Although designing a user-friendly web site or app is likely to be one of the critical success factors in developing a digital business, a company needs to address a whole range of issues, both strategically and technologically. Hence, the second part of this module will explore, among other things, how digital technologies (e.g., artificial intelligence) enable business model innovations and can spur new digital eco-systems. Also, we will learn more about the role of digital advertising and digital analytics.

The module will be taught by a range of methods such as lectures, indicated reading, group discussions and feedback from your own experience, analysis and interaction with computers, other systems and each other, and exploration of case studies/papers and videos. The learning environment provided will be highly interactive, meaning that in order for the course to be successful your contribution is as important as ours.

The emergence of the digital economy has unlocked new opportunities, leading to the creation of new innovations in data driven industries. New digital business models have also accelerated ‘creative destruction’, disrupting the existing business models of established industries. While the digital economy initially stemmed from the technology sector, digital business models have begun to permeate large and small organisations in a variety of sectors. Entrepreneurs have been particularly keen to locate opportunities where digital business models can be created to unleash disruptive innovation in existing markets. This module provides insight into the emergence of digital business models in existing and emerging markets. This module will be of interest to students planning on developing their own enterprise, or who intend on working in dynamic, digital businesses.

The emergence of the digital economy has unlocked new opportunities, leading to the creation of new innovations in data driven industries. New digital business models have also accelerated ‘creative destruction’, disrupting the existing business models of established industries. While the digital economy initially stemmed from the technology sector, digital business models have begun to permeate large and small organisations in a variety of sectors. Entrepreneurs have been particularly keen to locate opportunities where digital business models can be created to unleash disruptive innovation in existing markets. This module provides insight into the emergence of digital business models in existing and emerging markets. This module will be of interest to students planning on developing their own enterprise, or who intend on working in dynamic, digital businesses.

- To expand knowledge of techniques for information transmission via discrete (digital) channels, which have a wide area of applications, i.e. distributed computer systems, instrumentation and control systems, as well as communication systems of all types.
- To introduce the basic concepts and applications of information theory and show its importance.
- To develop skills in communications performance evaluation and digital transmission system design.
- To concentrate attention on the application of the various analytical techniques.
- To link theoretical concepts with cutting edge industrial standards.

- To expand knowledge of techniques for information transmission via discrete (digital) channels, which have a wide area of applications, i.e. distributed computer systems, instrumentation and control systems, as well as communication systems of all types.
- To introduce the basic concepts and applications of information theory and show its importance.
- To develop skills in communications performance evaluation and digital transmission system design.
- To concentrate attention on the application of the various analytical techniques.
- To link theoretical concepts with cutting edge industrial standards.

- To expand knowledge of techniques for information transmission via discrete (digital) channels, which have a wide area of applications, i.e. distributed computer systems, instrumentation and control systems, as well as communication systems of all types.
- To introduce the basic concepts and applications of information theory and show its importance.
- To develop skills in communications performance evaluation and digital transmission system design.
- To concentrate attention on the application of the various analytical techniques.
- To link theoretical concepts with cutting edge industrial standards.

- To expand knowledge of techniques for information transmission via discrete (digital) channels, which have a wide area of applications, i.e. distributed computer systems, instrumentation and control systems, as well as communication systems of all types.
- To introduce the basic concepts and applications of information theory and show its importance.
- To develop skills in communications performance evaluation and digital transmission system design.
- To concentrate attention on the application of the various analytical techniques.
- To link theoretical concepts with cutting edge industrial standards.

The aim of this module is to introduce students to the boundary between logic gates and software, and explain how computer systems are constructed and executed. This includes aspects such as how high-level concepts such as arithmetic and logic are mapped down to binary gates, and how CPUs can be constructed from those gates. On completing this course students will have a good understanding oh how the digital infrastructure underlying their software actually works. For AI students this will serve to de-mystify the operation of CPUs and logic for some students, and allow them to understand how to program efficiency and high-performance systems. For CE students this forms the basis on which computer architecture will be developed in 2nd year, then expanded in advanced computer architecture in 3rd year.

The aim of this module is to introduce students to the boundary between logic gates and software, and explain how computer systems are constructed and executed. This includes aspects such as how high-level concepts such as arithmetic and logic are mapped down to binary gates, and how CPUs can be constructed from those gates. On completing this course students will have a good understanding oh how the digital infrastructure underlying their software actually works. For AI students this will serve to de-mystify the operation of CPUs and logic for some students, and allow them to understand how to program efficiency and high-performance systems. For CE students this forms the basis on which computer architecture will be developed in 2nd year, then expanded in advanced computer architecture in 3rd year.

The topics considered are: z transforms, sampling and reconstruction, discretisation, elements of realisation theory, controller design via pole placement, observers, optimal control design.