The need for greater moves towards individualization and language learner autonomy in our classrooms has been widely recognized in recent years. This module explores the themes of language learner autonomy, resource-based learning both in and beyond the classroom and their practical outworking in an institutional context. You will be encouraged to consider the role of the teacher in supporting learner autonomy and think through ways of facilitating learning in a range of contexts. Apart from the theoretical base which underpins the concept of learner autonomy, the topics covered, and their precise focus, will be selected in consultation with the course participants and the final programme will be drawn up after the first meeting.
This module focuses on the detailed 'hands-on' analysis of works of European art music, guided by a selection of classic and contemporary theoretical and analytical writings that challenge assumptions about the inner structure of musical works. Extramusical matters may be considered too. The module will focus on two areas of music theory and analysis, with approximately half the semester being spent on each. It is taught together with MUSI6023 Analytical Techniques, which is designed for students taking Music's MMus degree; students on the undergraduate module will attend the same seminars and do the same reading, but will complete shorter assignments.
The project should normally be completed in the first semester, although in unusual circumstances, it may be finished in the second semester. Students normally work in pairs, in close collaboration with a member of staff. By undertaking a project students should develop skills which are necessary for experimental or theoretical research (such as initiative, decision making, determining priorities, searching and learning relevant material from literature, ability to collaborate and to report results).
This module explores the role of banks and central banks in the economy with a focus on financial intermediation and monetary policy, respectively. The module covers the tools for predictive and generative AI and their transformational effect on banking and central banks. The module also explores the AI-driven changes in regulatory and governance structures in the financial market, and especially in the banking sector. Overall, this module teaches specialised financial skills for a career in the financial market in the age of AI.
The dissertation stage of your Postgraduate programme involves an extended, independent investigation of a topic of your own choosing and the preparation of a 15,000 word dissertation describing your work. Essentially, the dissertation is a test of your ability to create and investigate, on your own initiative, a text which demonstrates a Masters level understanding of a particular subject issue.
This module will introduce the main theoretical ideas of language and identity alongside tracing the historical, social and linguistic background to the presence of the so-called Latinos in the USA. By considering a range of texts, as well as cultural output such as music, film and literature, you will develop an understanding of the key themes and experiences of the Latino communities and how they negotiate and challenge their place in contemporary US society. The module will look at the role that the Spanish language plays in Latino identities – linguistic vitality, transmission to new generations, and the phenomenon of translanguaging or 'Spanglish'.
This module focuses on the basic epidemiological methods and approaches that underpin an evidence-based approach to public health research and practice. The module covers each of the main types of epidemiological study design and provides a framework for critically assessing each method, differentiating association from causation. The module includes sessions on epidemiological study designs, chance, bias, confounding, measures of disease frequency and risk estimation and hypothesis testing. The module also provides guidance as to how to critically appraise published studies.
This module focuses on the basic epidemiological methods and approaches that underpin an evidence-based approach to public health research and practice. The module covers each of the main types of epidemiological study design and provides a framework for critically assessing each method, differentiating association from causation, basic principles of screening and prevention. The module includes sessions on epidemiological study designs, chance, bias, confounding, measures of disease frequency and risk estimation and hypothesis testing. The module also provides guidance as to how to critically appraise published studies.
This module will provide you with an introduction to the fundamental properties of floating bodies, covering those areas conventionally treated by hydrostatic methods and will provide students with an early insight into a range of tasks involved in the design, construction, management and operation of marine vehicles and an awareness of an engineer's responsibility to society. Students should be aware that this module requires good grades at A level Mathematics and Physics or equivalent qualifications.
This module examines key features of cell design and of materials used in batteries. It links this to a range of techniques that are commonly used to study cell architecture and structure, composition and surface chemistry of battery materials. Emphasis is placed on the operando use of these techniques and on reading of the associated literature.
The development of energy storage technologies plays a critical role in the transition to an environmentally sustainable society and improving people's quality of living. Energy storage technologies are necessary in a variety of very important applications such as the storage of energy from renewable energy resources, electrification of transport, portable devices, etc. In this module you will learn about the main applications of battery technologies and their specific requirements, as well as the strategies that are currently under development to make better batteries, and the decisive factors that guide the choice of different battery chemistries for different applications.
To gain an in-depth theoretical and practical understanding of Bayesian inference and active learning, and their applications.
A week-long field course held in Bolonia on the Andalucian coast of Southern Spain, within the Estrecho natural park. The field course will take place during the Easter holidays, when there is a large diversity of flora and fauna to survey. As a residential field course, you will be able to immerse yourself in research, undertaking a research project of your own design, to test a novel ecological hypothesis. You will then collect, analyse and interpret your data, producing a written report and a conference-style presentation. Throughout the module you will keep a field notebook to record your project’s development, data collection and interpretation. Teaching sessions will be accompanied by practical work which involves animal observation, with alternatives in place if required to meet minimum learning outcomes.
This module examines the essential role of behaviour change in Clinical Exercise Physiology, focusing on promoting and sustaining physical activity and exercise in individuals with various health conditions. You will explore the psychological, social, and biological factors influencing exercise behaviour, including the effects of chronic illness and socio-cultural context. You will develop client-centred counselling skills underpinned by the principles of motivational interviewing and critically evaluate evidence-based models of behaviour changes. Utilising University of Southampton academic expertise in simulation, you will develop person-centred communication skills, learning to co-produce personalised, sustainable intervention plans that foster long-term health improvements in clinical populations. This module aligns with CEP-UK standards, preparing students for effective, compassionate clinical practice.
Behavioural ecology considers the evolutionary pressures that shape behaviour. This module will explore animal behaviours from evolutionary biology and population ecological perspectives. Each week, lectures will consider a different behavioural ecology topic, to be discussed in more detail in accompanying weekly seminars. Throughout the module, students will keep an individual notebook/log/journal, sharing their notes and reflections with other students during seminars as part of group discussions to expand their personal learning network. Each student will write a research proposal for a behavioural ecology research project of their own devising, requiring them to consider the relevant background information, appropriate methodology and to budget the costs of their proposed project.
This module gives an overview of the concepts, models, and findings in behavioural economics. Behavioural economics is a field of economics that imports relevant insights from neighbouring disciplines, like psychology and anthropology, to inform economic theory and policy. Many of these insights have been generated through lab and field experiments about the drivers of economic behaviour, and they have revealed systematic patterns of individual and group behaviour. These systematic patterns are relevant for economic behaviour in several domains (e.g. consumption, savings, risk behaviour), and this module studies them in depth. It also exposes students to modifications of economic theory that capture these patterns, and to various behavioural phenomena such as self-control problems and cognitive bias, both in theory and in practice. It equips students with the theoretical toolset to analyse and understand economic choices in the presence of behavioural biases, as well as the analytical tools to make normative and policy analysis in the presence of behavioural phenomena. The module also emphasises the consequences of departures from classical microeconomic theory for prediction of economic choices and market outcomes and policy implications.
Behavioural finance (BF) is an unorthodox area of finance that assumes financial markets are fundamentally inefficient. Advocates of BF believe that investor behaviour and decision making are driven by aspects of personal and market psychology. This module will involve an introduction to BF followed by a detailed analysis of the main issues.
Mainstream finance assumes that people are rational and is mainly concerned with how they should behave when making financial decisions. In this module, instead, we focus on how individuals make financial decisions in practice, and we use insights from psychology and behavioural economics to explain why they systematically deviate from normative financial theory and make predictable errors. The cognitive, emotional, and social biases that influence people’s decisions bear important implications for individual investors, financial managers, and the dynamics of financial markets. The module builds on results from a wide spectrum of disciplines outside of finance (such as psychology, medicine, and sociology) and includes practical examples, simple in-class experiments, and discussions of academic studies.
