Advanced Astronautics picks up where year 2 Astronautics left off. In this module you will further study Orbital Mechanics, while learning about relevant requirements, norms, standards and best practices. You will apply this knowledge to sustainable space mission design and discuss ethical, societal, and environmental impacts. You will design suitable power subsystems, including detailed solar power system sizing and thermal modelling of spacecraft at systems level. You will learn to manage risks by establishing safe operational margins during sub-system design.
Analytical techniques allow for identification and classification of complex chemicals and mixtures. In this module we will build on the content covered in the year 1 skills module, and discuss the uses of chromatography and mass-spectrometry, 2D NMR and diffraction for solving complex chemical problems.
This module will introduce key concepts and methods in chemical biology, how those can be employed to interrogate and manipulate biological systems, along with important implications for drug discovery.
This module develops advanced concepts related to molecular quantum mechanics, reaction mechanisms and inorganic chemistry structures and properties.
This module develops advanced concepts related to statistical mechanics, bio-organic reaction mechanisms and organometallic chemistry.
The purpose of this module is to provide you with an in-depth theoretical knowledge, understanding and skills in advanced adult audiology diagnostic assessment and management techniques, using a person-centered approach.
This level 6 module will enable you to demonstrate a strong professional identity, with the ability to reflect on your own contributions and that of others in challenging situations.
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.
