In this module you will gain the knowledge and skills that are necessary to effectively respond to those with palliative and end of life care needs to provide timely and sensitive nursing care. You will develop an in-depth knowledge and understanding so that you can debate the challenges in end-of-life decision making and demonstrate a sound knowledge of symptom management in palliative care. As a result of studying this module you will understand the challenges of delivering End of Life Care in all contexts including acute care, community and hospice settings. Your learning will focus on end-of-life care needs across the life course, encompassing the care of young adults with life threatening illness or injury, adults with long term conditions and to the care of older people with degenerative conditions and frailty. You will also learn the approaches that are necessary to ensure that all bereaved people are supported with compassionate care.
The Four Horsemen of the Apocalypse – War, Famine, Plague and Death – were believed to presage the end of the world, and many Europeans living through the fourteenth century believed this was close at hand. The Great Famine (1315-22) and the arrival of the Black Death in 1347 decimated the continent’s population and the effects of these natural disasters were exacerbated by the destructive conflict waged between England and France known as the Hundred Years War (1337-1453). Challenges to the established social hierarchy and demands for improved living standards also sparked a wave of popular rebellions including the English Peasants’ Revolt of 1381. Furthermore, the century witnessed religious turbulence with the growth of heretical movements and a split in the leadership of the Catholic Church between rival popes during the ‘Great Schism’ (1378-1417). Hence famine, plague, war, popular unrest and religious crisis are the principal themes examined in this module.
This module explores the linked ideas of networking and distributed computing, looking at how one can scale up to large computational systems using channels that move between nodes and between hardware and software. The course covers the fundamentals of networking from the data-link layer up, and looks at the ideas and algorithms underlying the most common network protocols. It then explores how these can be used to create computational systems that process multiple parts in parallel, using a number of abstractions. The course is intended to provide students with useable skills for performing large compute in modern frameworks, while also understanding the technology underlying those frameworks.
This module explores the interrelationship between physical and mental health, focusing on the Parity of Esteem agenda and addressing healthcare inequalities. Students will critically examine the disparities between physical and mental health services and propose evidence-based solutions for integration, particularly in clinical settings where mental health nurses work alongside physical health teams. The module will emphasize therapeutic interventions for diverse groups, including those with learning disabilities, autism, and aging populations, and will highlight the importance of supporting families and carers in care provision. Students will develop skills in planning, facilitating, and evaluating therapeutic psycho-educational groups to foster psychological well-being and recovery.
This practice placement module is the first clinical placement the students will undertake in their programme. Across the nursing programme students will experience placements in a variety of settings including acute care, community care and specialised areas of practice. Students will be supported in practice to develop knowledge, skills and professional values. This will build on the theoretical knowledge and clinical skills sessions undertaken in university.
This practice placement module is the first clinical placement the students will undertake in their programme and is in part one of their programme. Across the nursing programme students will experience placements in a variety of settings including acute care, community care and specialised areas of practice. Students will be supported in practice to develop knowledge, skills and professional values. This will build on the theoretical knowledge and clinical skills sessions undertaken in university.
This practice placement module is the first clinical placement of their second year which is part 2 of the students Nursing programme. Across the nursing programme students will experience placements in a variety of settings including acute care, community care and specialised areas of practice. Students will be supported in practice to develop knowledge, skills and professional values. This will build on the theoretical knowledge and clinical skills and simulation sessions undertaken in university.
This practice placement module is the second clinical placement the students will understand and is in part two of their Nursing programme. Across the nursing programme students will experience placements in a variety of settings including acute care, community care and specialised areas of practice. Students will be supported in practice to develop knowledge, skills and professional values. This will build on the theoretical knowledge and clinical skills sessions undertaken in university.
This practice placement module is the second clinical placement of their second year which is part 2 of the students Nursing programme. Across the nursing programme students will experience placements in a variety of settings including acute care, community care and specialised areas of practice. Students will be supported in practice to develop knowledge, skills and professional values. This will build on the theoretical knowledge and clinical skills sessions undertaken in university.
This practice placement module is the first clinical placement of Part 3 of the students Nursing programme. Across the nursing programme students will experience placements in a variety of settings including acute care, community care and specialised areas of practice. Students will be supported in practice to develop knowledge, skills and professional values. This will build on the theoretical knowledge and clinical skills sessions undertaken in university.
This module is the final placement module that you will undertake. During your time in placement you will be supported to apply the knowledge and understanding that you have developed throughout your programme as you transition into your role as a Registered Nurse.
This practice placement module is the third clinical placement of Part 3 of the students Nursing programme. Across the nursing programme students will experience placements in a variety of settings including acute care, community care and specialised areas of practice. Students will be supported in practice to develop knowledge, skills and professional values. This will build on the theoretical knowledge and clinical skills sessions undertaken in university.
The individual project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging engineering exercise in which there is scope for flair and originality. Typically, the result of the project will be some demonstrable software and/or hardwaretogether with the supporting final report.
The Part Three Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging engineering exercise in which there is scope for flair and originality. Typically, the result of the project will be some demonstrable software and/or hardware together with the supporting final report. Phase 1 of the Individual Project provides an initial development and exploration framework for students, allowing them to explore the context of their project including elements beyond the technical, develop a project aim and plan considering specific and wider implications and a framework for implementing and evaluating preparatory and initial work. Students are provided with an introduction to commercial business and law – knowledge and skills which can be applied to the operations of an engineering-based organisation. The learning outcomes address: managerial decisions, commercial aspects, law in engineering, entrepreneurship, project management and project risk management. A range of case studies will be used to illustrate principles and provide examples. Students are guided through the development of their experimental or theoretical methods, and planning a successful execution and completion of their project. The module also teaches students what it is to be a professional practitioner, examining ethical and legal issues around professional practice, as well as commercial, management and legal aspects for developing technologies, as it pertains to their project. Students are also supported through regular interaction with individually assigned project supervisors, in the conduct and implementation of their project, culminating in a Phase 1 Progress Report.
The Part III Individual Project gives students the opportunity to gain both detailed knowledge and practical experience in a more focussed area than generally possible elsewhere in their degree programme. Most projects are in the nature of a challenging engineering exercise in which there is scope for flair and originality. Typically, the result of the project will be some demonstrable software and/or hardware together with the supporting final report. Phase 2 of the Individual Project focuses on carrying out the project work as planned, producing results and evaluating outputs in the form of a written report and presentation.
Differential equations occupy a central role in mathematics because they allow us to describe a wide variety of real-world systems. Their study and applications range from pure and applied mathematics to physics, engineering , biology and finance, among others. The module begins with ordinary differential equations (ODEs) discussing how to solved first and second order homogeneous and inhomogeneous ODEs. We study boundary value problems and develop Sturm-Liouville theory. We then look at how one can express a general periodic function in terms of Fourier series of sine and cosine functions. Next, we introduce some of the basic concepts of partial differential equations (PDEs). The three important classes of second order PDE appropriate for modelling different sorts of phenomena are introduced and the appropriate boundary conditions for each of these are considered. The technique of separation of variables is used to reduce the problem to that of solving the sort of ordinary differential equations seen at the start of the module and writing the general solution using Fourier series and Sturm-Liouville theory. Throughout the module there will be a strong emphasis on problem solving and examples. The last part of the module is an introduction to integral transforms with emphasis on Laplace transforms. We show how Laplace transforms may be used to solve ordinary and partial differential equations.
Partial Differential Equations (PDEs) are the mathematical language of change in space and time. They are used to describe a wide variety of real-world systems. Examples of their applications include describing how waves travel, how heat spreads, weather forecasting, how the fundamental laws of Nature work, the pricing of financial derivatives such as stock options, and many others. The module begins with a review of ordinary differential equations (ODEs), discussing first- and second-order methods, boundary value problems, and eigenvalue problems. We then introduce Sturm-Liouville theory and Fourier Series, seeing that it is possible to express a general periodic function as a sum of sine and cosine functions. Next, we introduce some of the basic concepts of PDEs. The three important classes of second order PDE appropriate for modelling different sorts of phenomena are introduced, and the appropriate boundary conditions for each of these are considered. The technique of separation of variables is used to reduce a PDE to a set of ODEs of the kind reviewed at the start of the module, and to derive the general solution using Fourier Series and Sturm-Liouville theory. Throughout the module there will be a strong emphasis on problem solving and examples. The last part of the module is an introduction to integral transforms, comprising Laplace Transforms and Fourier Transforms. We show how Laplace transforms are a very powerful technique to solve ODEs and PDEs, and how Fourier Transforms are very useful to solve PDEs.
