A module focussed on properly understanding linear-algebra/matrices, which gives a lot of insight into how computation works, gives great perspective into many problems in mechanics, gives the language to describe machine learning, and has many other benefits. Matrices are used everywhere. The course will cover matrix inversion, algorithms for Ax=b, vector spaces, projection, properties of determinants, eigenvalues and eigenvectors, symmetric matrices, singular value decomposition. As we go through these general ideas, we will consider specific applications such as finite difference method for partial differential equations, linear regression, principal component analysis, trusses, numerical differentiation and integration, systems of ordinary differential equations, linear programming, neural networks, and others. Fundamentally, this is a mathematics course, but it is strongly focussed on intuitive understanding and applying the mathematics to different engineering problems.
This module introduces students to how mechatronic systems behave and how they can be controlled, using practical examples that gradually increase in complexity. You will begin by studying simple mechanical systems driven by electric motors and hydraulic actuators, learning how to describe their motion and understand their dynamic behaviour. Building on this foundation, the module explores systems with more complex motion, multiple interacting parts, and nonlinear effects. Throughout the module, you will gain hands on experience using simulation tools and laboratory equipment to model systems, test control ideas, and see how theory links to real hardware. By the end, you will have developed practical skills in analysing and controlling mechatronic systems relevant to modern robotics and automation.
This module covers the application of concepts and methods in contemporary microeconometrics to address various applied research questions using mainly individual level (e.g. firms, households) micro data. Many of the examples will come from labour, public and financial economics, but the techniques covered in this course are applicable to a wide range of fields.
This module provides a flexible, workshop-based approach to developing students' awareness of a range of research methods appropriate for students conducting research projects using mixed methods at postgraduate level in Educational settings.
The module consists of the main Oceanography undergraduate fieldcourse which takes place at the end of Semester 2 (late June to early July) following the exam period plus some work on report writing and data presentation in Semester 1 of the following academic year.
This module will enable healthcare practitioners to significantly expand their knowledge of pharmacology and the related clinical sciences. This knowledge applied in the clinical domain, will enhance their ability to assess and manage patients/clients presenting with acute health problems and/or complex long term conditions.
In this module students will build upon their learning in the preceding ‘Anatomy and Physiology 1’ module. Students will develop an understanding and insight into the key pathophysiological processes encountered in common disease conditions. This will include relevant aspects of ageing. In addition, students will be introduced to fundamental and applied aspects of pathophysiology, genomics, pharmacology and medicines management relevant to nursing practice.
In this module you will develop an understanding and insight into the key pathophysiological processes encountered in common disease conditions. This will include relevant aspects of ageing. In addition, you will be introduced to fundamental and applied aspects of pathophysiology, genomics, pharmacology and medicines management relevant to nursing practice.
In this module students will build upon their learning in the preceding ‘Anatomy and Physiology 1’ module. Students will develop an understanding and insight into the key pathophysiological processes encountered in common disease conditions in children and young people. In addition, students will be introduced to fundamental and applied aspects of pathophysiology, genomics, pharmacology and medicines management relevant to nursing practice .
In this module students will develop an understanding and insight into the key pathophysiological processes encountered in common disease conditions in children and young people. In addition, students will be introduced to fundamental and applied aspects of pathophysiology, genomics, pharmacology and medicines management relevant to nursing practice
This module provides a broad introduction to the applied use of plants in the modern world. The module will cover the production of transgenic (GM) plants and their applications in a variety of areas including medical biotechnology, nutrition, phytoremediation and biofortification. The use and potential improvement of plant biomass for biofuels will be covered. A further aspect of the module will look at the development of plants and plant culture systems for future use in supporting long term space exploration and colonisation.
The module provides a broad outline of the applications of plant biotechnology in the modern world. Where possible, general principles are developed alongside specific examples rather than giving exhaustive lists of detailed information. Plants are increasingly being utilised in a wide range of biotechnological applications. The cornerstone of utilising plants in biotechnology has been the ongoing development and improvement in generating transgenics (GM plants) in a range of species. The methods and principles in making transgenic plants will be covered in the module as well as looking at more traditional breeding strategies. The use of transgenic plants in medical applications, phyto- and bioremediation and biofortification will be covered. The current pressure to increase the generation of energy from sources of renewable plant material has made this a highly topical area. The biotechnological approaches being utilised to improve crops providing the raw materials as well as the methods to produce the biofuels will be covered. Planned future space exploration and potential colonisation of space will require sustainable plant based artificial ecosystems to be developed and as a result this is becoming an area of increasing interest.
This module provides a flexible, workshop-based approach to developing students' awareness of a range of research methods designed to collect qualitative data appropriate for students conducting research projects at postgraduate level in Educational settings.
This module builds on the foundations of qualitative research for health and will demonstrate how to apply these to qualitative research design. Key methods of data collection are explored further, alongside prominent analytical techniques used when conducting qualitative research. You will practise the skills needed to design and conduct qualitative research, as well as gain insight into the key practical and ethical considerations when conducting qualitative research for health.
This module provides a flexible, workshop-based approach to developing students' awareness of a range of research methods designed to collect quantitative data appropriate for students conducting research projects at postgraduate level in Educational settings.
The aim of the module is to equip the student with the knowledge and understanding of what good research is in the area of Audiology and how it is performed, with skills to critically appraise research and with skills to support their research project in FEEG6012. The module comprises a number of lectures on various topics around the concept of research, experimental design, gathering and analysing data. This will provide a broad overview of research methodologies that enables the students to design, perform, analyse and report an in-depth research project in Audiology.
The Applied Research Project provides you with the opportunity to conduct a significant piece of independent research on a topic of your choice. You will investigate issues and research questions relevant to your degree programme by collecting primary data, or using secondary data, or investigating the literature, with the focus on advancing the knowledge on the issue investigated and/or applying theory to practice.
This module will develop the skills of the student as a social researcher to conduct in depth analyses of secondary, large scale datasets, leading up to the use of these techniques in the final year dissertations and ensuring that students have appropriate employability skills with regards to question formation and analysis. The module will start by revisiting how to specify a research question, looking back at the discussions in previous modules on this topic and using those principles to focus on the questions that would lead to more advanced methods of analyses to be applied. Following this, the module will focus on the development of an analytical strategy before exploring the forms of regression analysis (acknowledging that other forms of analysis are available). It will look at the common issues with datasets, such as the application of survey weights and what to do with missing data (and what not to do). The module will use real large scale datasets (from DHS, UK Data Service etc) for students to work on, necessitating students to engage in ethics for secondary data analysis from the data supplied and within Southampton.
This is a postgraduate module in applied statistical modelling which is designed to equip students with highly sought after employability skills in data analysis. The module will cover a range of techniques, starting with introductory statistics and statistical theory, linear regression, logistic regression, multinomial logistic regression, and ordinal logistic regression. Some theory behind the methods will be covered, although the emphasis is on the practical application of these methods using statistical software. Students will be introduced to Stata as the statistical software. This module is the pre-requisite for the module ‘Advanced Statistical Modelling’.
Educational research is a wide-ranging field that draws upon many different disciplines and methodologies. This introductory module aims to help you navigate this complex field by providing an overview of the common paradigms and methodologies that you are likely to encounter in educational research. The module enables you to find, read, and critically appraise educational research conducted by others. The module also provides you with opportunities to practice relevant skills (e.g. searching for research literature, critical reading and writing, creating an academic poster) while discussing ideas with your peers. The module has a mix of plenary lecture sessions and smaller seminar groups led by a team of tutors.
