The module is focussed around advanced computational methods incorporating C and compiled languages, computational modelling and software engineering techniques for science and engineering. It builds on lower level courses such as FEEG1001 and FEEG2001 and assumes that the students are familiar already with one programming language (typically Python). Through the lectures and directed reading you will be able to gain understanding of the principles and methods of advanced computational and software engineering techniques along with C programming skills and how these are applied to problem solving. The laboratory sessions will cover both C programming and numerical modelling and will give you the opportunity to apply and enhance this understanding. Support in the lab sessions will help you to prepare for programming assignments, which will provide you with feedback on your ability to apply your knowledge and skills to a variety of problems. Students should be aware that this module requires pre requisite skills in programming, ideally in python
This module covers the development of modern computer architectures for servers, workstations, hand-held devices, signal processing and embedded systems from the introduction of the four-stage RISC pipeline to the present day.
This module is designed to be a follow-up module to the computer Science or ITO second year introductory networking module. The wireless networking part reviews wireless technologies and their application in areas such as IoT and sensor networks. The module reviews emerging networking technologies, which might include topics such as future routing protocols, IPv6 transition, and software-defined networking. Students should consider taking this module if they are interested in learning about networking systems and their architectures in more detail than covered in the introductory module, and exploring emerging topics which are delivered as part of ECS' research-led teaching philosophy. The coursework gives students the opportunity to get hands-on experience with advanced networking, optionally with small embedded devices.
Introduce concepts of Advanced Corporate Finance, which combines aspects of corporate finance and value-based management. The focus is on understanding the relationships between investments and financing decisions on shareholder value. Analysing these relationships is essential in managing a firm for value. The module introduces the concept of firm valuation using DCF or alternative methods. Strategic decisions on capital structure, investment policy (e.g. diversification), corporate governance and dividend policy are examined with regard to their value creation potential. The module is a compulsory module on the MSc Finance, as it combines strategy various disciplines such as finance, accounting and management. The module will focus on case studies to highlight its practical relevance. It builds on the material covered in Introduction to Finance (MANG6295) taught in semester 1. In contrast to more specialised modules taught on the MSc Finance, the proposed module integrates corporate finance and accounting into the wider strategic issues companies face. The module will be taught in the second semester, and Introduction to Finance (MANG6295) is a pre-requisite to studying this module. The module will introduce methods developed in finance to value companies, to assess investment decisions and to analyse other strategic decisions (e.g. mergers and acquisitions). However, the module will stress the relationship between value creation (finance) and management decisions. This is different compared to finance module offered on other programmes (e.g. MSc International Financial Markets, MSc International Banking and Financial Studies). Hence, it is not a standard finance module. The module will be also available as an option for the MSc Risk and Finance. The module bridges the gap between providing a functional expertise in finance and applying the concepts of finance in practice.
This is a core module within the MSc Advanced Clinical Practice (Advanced Critical Care Practitioner). This module builds on your own experience and practice as well as the knowledge gained in previous theory modules to support you in the development of your practice. Drawing on the knowledge gained from your own clinical experience and from the modules that you have already undertaken you will develop the skills required to work effectively within critical care at an advanced level. Drawing on contemporary evidence and real case examples you will be exploring the care needs of the critically ill patient. The time spent in the classroom will support you in developing the underpinning knowledge and critical thinking to take back into practice with you where you will further develop your knowledge and skills. This module demands that you have worked within critical care. If you are undertaking this module as part of the MSc ACP (ACCP) you must be practicing in said environment and have the necessary experience to take the next step in advancing your practice. You will require a mentor in practice during this module and this must be a healthcare professional with the relevant experience (i.e. Senior Critical Care Practitioner or Intensivist). Core module within the MSc Advanced Clinical Practice (Advanced Critical Care Practitioner).
This module builds on the first year Data Management module to give students a deeper and broader view of the issues involved in database management systems, some of the most complex software in common use.
This module aims to develop an understanding of the major issues facing marketers in the rapidly growing area of online marketing, with an emphasis on the managerial implications of evolving business models and the associated new marketing applications. Students will acquire specialist knowledge in a rapidly developing subject area where employers are reporting significant skills shortages. This includes data-driven marketing and the understanding of the tools and applications that can be applied to different types of marketing challenges. Students on this module will be given real-life unstructured marketing problems to work on and solve. They will be required to draw on leading-edge academic research and industry-based thought leadership to approach challenges in creative ways.
This module will advance your ideation, research, design and practical skills in the development and application of E-textiles for wearable technologies and other market sectors. You will increase your understanding of key materials, technologies and processes, alongside good design principles, innovation and identification of market specialisms and future trends.
Building on the econometric content learned in the second year this module introduces students to advanced econometric methods and machine learning. The module will first introduce an empirical problem then it will introduce the classical econometric answer to that problem and discuss how that method can fail. Then we will introduce machine learning methods that address potential failures of the classical econometric method, learn how to implement them in statistical software to then look at applications. Finally, we also discuss potential problems of the machine learning method. We will repeat this procedure with multiple topics. The goal of the course will mainly be prediction accuracy of the methods but extensions to causal inference and meaningful policy evaluation will also be mentioned. Applications to economic problem will be used throughout to illustrate the methods.
To provide an introduction to power system analysis and power electronics, and an in-depth coverage of electrical machine operation and design in the context of applications from the fields of renewable energy, marine propulsion, robotics and electric vehicles.
This module focuses on a range of epidemiological methods, concepts and approaches beyond those taught in the Basic Epidemiology module, to explore advanced quantitative methods used in epidemiological studies, and to apply these methods in research and practice.
This module covers, at advanced level, three topics that are central to the application of geophysics in the marine environment: reflection seismology; potential field methods; and electrical and electromagnetic methods. In practical sessions, students use state-of-the-art commercial software to analyse datasets and survey design scenarios relevant to application of these techniques in the offshore industry.
The module covers, at advanced level, three topics that are central to applied geophysics in the marine environment.
Communications is arguably the most widespread application of fibre optics, and naturally forms an essential part of an MSc Programme specialising on fibre technologies. This module will cover topics ranging from the more general (aimed at students with a background that is different to engineering) to more specialised topics relating to modern communication systems. The module starts with an introduction to the history of optical communications and the evolution of optical communication systems. It covers aspects of optical networking, and looks in detail in the modulation and multiplexing techniques used in modern systems. Key optical components for communications are presented and their main characteristics are analysed, allowing the students to appreciate what features can make a difference in the performance. An introduction to wave propagation in optical fibres is presented next, with emphasis on the effects of fibre characteristics on fast data signals. Fibre component and amplification technology are considered in detail. The final part of the module covers topics that are relevant either to modern communication systems or that emerge from recent research in the field. It includes optical nonlinearities and their implications both in transmission and signal processing, as well as electronic signal processing and its ever-increasing role in optical communications. This module builds directly on the fundamental fibre technology module (OPTO6008) taught in Semester 1; together these modules provide in-depth knowledge of the core concepts of advanced telecommunication systems and the state-of-the-art of telecommunication systems technologies. This module series could also be of interest to students studying towards an MSc in Wireless Communications.
The aim of this module is to allow students to carry out an extensive field-based research project on a specific topic related to his/her main area of study.
This module is aimed at providing exposure to and understanding of advanced, specialist areas of Finite Element Analysis and their underlying Solid/Structural Mechanics concepts. It then concentrates on using this knowledge for solving discipline-specific engineering problems employing commercial Finite Element Analysis software.
Modelling fluid flow requires us first to extend vector calculus to include volumes that change with time. This will allow us to rephrase Newton’s second law of motion, that the force is equal to the time derivative of the linear momentum, in a way that can be applied to materials that flow and do not have a constant shape, i.e. to fluids. The final resulting equations are called the Navier-Stokes equations and are at the foundation of all fluid studies, from the microscopic motion of a bacterium to the hypersonic flow around a missile. In this module we will just touch on the simplest of the cases model by them: exact solutions of steady flows, water in a sloping channel, or of time dependent flows, driven by pulsating pressure (like blood flow). We will conclude by studying one of the most intriguing aspects of fluid dynamics, namely surface tension, the phenomenon responsible for the round shape of rain drops or soap bubbles. We will study its physical origin and how to model it in the context of the Navier-Stokes equations; we will finish by considering some fluid configurations where surface tension plays a dominant role (e.g. the capillary effect and soap bubbles).
