The aim of this module is to give you a basic understanding of the principles of CBT assessment, formulation and change methods. The module focuses on generic therapeutic and basic competencies, as well as specific behavioural and cognitive therapy techniques.
The module is designed for graduates in any science discipline embarking on postgraduate studies in Ocean and Earth Science.
This module is the introductory module in the International Transfer BM programme, specifically designed to introduce international transfer students to medicine in Southampton. The BM programmes are however highly contextualised and integrated programmes in which the application of knowledge and understanding, clinical skills and professional practice applicable to medicine are learned through a range of modules none of which are stand- alone. Therefore this module should be recognised by students and teachers alike as part of the whole year and programme. As is the nature of clinical placements, the exact learning experiences of each student will be variable. However, all students will receive the same broad opportunities sufficient to achieve the learning outcomes of the module, and it is expected that students will take responsibility for making the most of the opportunities provided and being pro-active in securing experiences in areas in which they feel they are weak and/or they have had least learning experiences.
This course lays the foundation for further studies in commercial and maritime law by introducing you to advanced rules and applications of contract law. We will be exploring some key areas of commercial law, such as the law of agency and the sale of goods. The course trains your commercial analytical skills by exposing you to a range of complex relationships which often involve numerous parties and transactions, and by understanding how the law settles these in light of the reasonable expectation of the parties, commercial expedience, the integrity of legal concepts as well as wider policy factors.
Differentiable Programming and Deep learning has revolutionised numerous fields in recent years. We’ve witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of cheap GPGPU compute coupled with large datasets and some neat algorithms. More broadly, the idea of ‘Differentiable Programming’, in which we define entire programs as compositions of differentiable operations which can then be optimised to fit data, looks to become a new norm in how we utilise computers. This module will look at how deep learning and differentiable programming works, from theoretical foundations right through to practical implementation. We’ll study key aspects such as automatic differentiation, look at models for deep learning such as convolutional and recurrent neural networks and `transformer’ architectures, as well as considering current research in depth. Along the way we’ll also look at aspects of biology and neuroscience, and see how ideas from these fields feed-in to current research. The overall aim of this module is not to teach you to be able to train pre-existing models (although you will learn to do that!), but rather to equip you with the fundamental skills to be able to understand and implement models and ideas that are currently being developed by researchers. We intend to equip you with the knowledge needed to understand new ideas as they are published, and give you the ability to constructively criticise, and identify limitations, of different approaches. As a word of warning, this is a mathematical module: the predominant focus is on looking at models that can be optimised via gradient methods. You need to have a good grasp of linear (matrix) algebra and matrix calculus, as well as the fundamentals of machine learning, probability and statistics. You will also necessarily be comfortable with Python programming and the use of numeric/matrix libraries such as numpy or pytorch. As such, the Foundations of Machine Learning module is a prerequisite. You’ll also be expected to read and try to understand scientific papers along the way. The module will equip you with the skills needed to start to understand the motivation of the latest deep learning research, and to start to critically analyse this.
This compulsory module introduces you to enhanced fashion design principles and encourages you to develop an innovative and exploratory perspective on your studio practice, through a combination of projects and technical workshops. This considered approach is intended to further develop your interests and understanding of the creative and conceptual practical requirements associated with fashion design at an advanced level. You will develop a sound awareness of your unique identity as a fashion design practitioner, through individual tutorials and group critiques designed to challenge and stimulate your knowledge and thinking of contemporary and emerging fashion ideas and debates.
This compulsory module introduces you to enhanced textile design principles and encourages you to develop an innovative and exploratory perspective on your studio practice, through a combination of projects and technical workshops. This considered approach is intended to further develop your interests and understanding of the creative and conceptual practical requirements associated with textile design at an advanced level. You will develop a sound awareness of your unique identity as a textile design practitioner, through individual tutorials and group critiques designed to challenge and stimulate your knowledge and thinking of contemporary and emerging textile design ideas and debates
This module introduces you to key theoretical, cultural and historical aspects of computing in art, design, industry, entertainment and everyday life. You will explore and respond to these aspects through digital media production and presentation, developing skills in critical thinking and analysis along with technical skills in working with, for example, web media, digital video, and game-based media. You will be introduced to university-level practices and standards of research and scholarship.
This will be your introduction to the fundamentals of E-textiles revolving around the key components of electronics, textiles and hybrids of these two. You will develop an understanding of conductive and sensing materials and technologies, how they are used, supporting non-conductive textiles, the key characteristics and the benefits of flexible electronics.
This module provides an introduction to the nature and use of empirical investigation in economics. The module will familiarise students with the basic concepts in econometrics as well as outline the statistical theory underpinning econometrics and statistical inference. The module will cover the specification of econometric models and their estimation and testing using available data. It will consider the nature of economic data, the methods by which they are compiled and some problems they may present for the econometrician
This module offers an introduction to economics to students entering the Foundation Year with SPM or equivalent qualifications.
This module introduces economic principles, theories, and methods of analysis. It provides a framework for the application of economic theory to real-world problems. The module will cover key concepts in economics. It will provide a non-technical overview of the field. The module is aimed at non-economists and so does not involve advanced mathematical techniques. Some basic mathematics will be taught. No prior knowledge of economics is required. One of the pre-requisites for ECON2013
This module aims to provide a descriptive and critical overview of the practice of educational psychology in the UK and to highlight some of the key debates.
Electrochemistry is a foundation stone for many exciting developments in, for example, chemistry, biology and materials, and it is also central to many technologies essential to modern living. In this course, you will learn about the key fundamental processes that affect basic and more complex electrochemical reactions and about the principles and techniques that enable us to study such fundamental processes.
Electrochemistry is an important area of physical science covering many interesting and important topics of current scientific research. For example, it is key to the development of new power sources (batteries, fuel cells and supercapacitors) as well as for the development of new sensing strategies or the understanding of processes such as corrosion. This course builds on the fundamentals of electrochemistry presented in "Introduction to Electrochemistry I" and extends these to the principles and applications of electroanalytical techniques and electrochemical instrumentation. The techniques considered include cyclic voltammetry, chronoamperometry, electrochemical impedance spectroscopy, rotating disc electrodes, microelectrodes, and several galvanostatic methods. Students are expected to gain advanced knowledge from the course, which will help prepare them for modern electrochemistry research in both the academic or industrial arena.
Is it necessary -- and is it possible -- for the UK and other countries to make the change from fossil fuels to renewable energy sources? And what sort of changes would be involved, on a global, national and personal scale? Is there any one renewable energy source that can provide most or all of the UK's energy needs? Can we continue to expand air travel indefinitely by making planes much more fuel efficient? Questions like these are becoming increasingly common and important, but clear answers can seem disappointingly rare. Against this background, the goal of this course is to develop a clear understanding of the physical principles that govern the key modes of energy generation and usage. This will then allow us to explore if and how our current energy needs can be supported by different types of energy sources (from fossil fuels to renewable to nuclear). We will also look carefully at the motivations for moving away from fossil fuels, considering both climate change and the finite nature of non-renewable resources. Throughout the course, the emphasis will be on developing insight, rather than on memorizing specific numbers or factoids. We will do this by learning how to develop simple, highly approximate, but nevertheless quantitative models of physical processes. These will allow us to find surprisingly clear-cut and definitive answers to seemingly difficult questions, including those posed above. Please note that although there are no formal pre-requisites, the mathematical skills required for this module are: - Manipulating and solving algebraic equations - Simplifying expressions using approximations e.g. the binomial approximation - Calculating basic geometrical properties: area, volume, surface area - Applying simple trigonometric functions: sine, cosine, tangent - Working with exponential and logarithmic functions - Interpreting graphs of functions or data on linear and logarithmic scales - Using and converting units for physical quantities such as length, time, energy, etc. No calculus is used in the module.
This module covers energy conversion fundamentals and technologies whilst relating these elements to sustainability. This module looks at energy from social, environmental and economic perspectives.
This course explores how the key materials and elements that are essential to life are cycled through the biosphere and the Earth system.
An understanding of the physical, chemical and biological processes involved during contamination of air, water and soil is essential if society is going to effectively monitor and control the effects of pollution using modern technology and engineering practices. A huge range of pollutants may be released into the environment during everyday domestic, leisure, industrial and commercial activities and many of these contaminants are potentially harmful to human health and the environment. In this module, we will focus on the origins, pathways and consequences of anthropogenic pollutants in the environment as well as discussing the various approaches to pollution control and remediation. Students will use their knowledge and skills to complete assignments that will test the learning outcomes for the module. This module does not have any pre-requisites, but some background in chemistry and biology is preferred. Students will be required to perform mathematical activities.
