An intensive consideration of outcomes in contemporary art practice and how they are presented, with consideration of audience-relationships and analysis of effective presentation methods.
The module aims to provide an overview of the relevant theories, tools and techniques in corporate, competitive and international business strategy focusing on strategic analyses, strategy formulation, strategic decision-making and choices and strategy implementation. You will be encouraged to analyse and think critically as well as apply some of the introduced concepts and tools.
The "Strategy, Decision Making, and Artificial Intelligence" course is designed to explore the relationship between strategic management and the integration of Artificial Intelligence (AI) within business processes but also during strategizing. This course aims to equip students with a comprehensive understanding of how AI can be leveraged to enhance strategic decision-making, thereby fostering competitive advantage and operational effectiveness in today's dynamic business environments. The curriculum delves into strategic frameworks and analytical tools essential for evaluating industry dynamics and competitive landscapes, emphasizing the development of AI-driven strategies.
This module is compulsory for the MSc Cancer Biology and Immunology programme, the MSc Genomics (Medicine) pathway, and optional for other MSc Genomics pathways. This module will cover the use of omics in stratified medicine. It will explore the different molecular and cellular actions of treatments, the genomic factors affecting response and resistance to treatment, and the research approaches to drug design and development in cancer and non-communicable disease.
In this module, you will explore how internet platforms shape music and culture—and vice versa. Music consumption, production, promotion, and fandom have all transformed in the era of streaming and social media platforms, which host a range of everyday interactions with music culture. Furthermore, the aesthetics of the internet have themselves permeated popular music culture across a range of genres and styles. But technology does not simply change music or how we engage with it: users continue to participate in complex power relations with platforms. This module addresses topics including platformisation, on-demand streaming, social media sharing, music video and shortform video, fan cultures and fan labour, internet music aesthetics, virtual music, livestreaming, and music generative artificial intelligence. By engaging with relevant scholarly literature and online music culture itself, you will gain nuanced understanding of how individuals listen, like, share, comment, stan, and duet in the present day.
In this module, you will explore how internet platforms shape music and culture—and vice versa. Music consumption, production, promotion, and fandom have all transformed in the era of streaming and social media platforms, which host a range of everyday interactions with music culture. Furthermore, the aesthetics of the internet have themselves permeated popular music culture across a range of genres and styles. In this module, you will explore topics including received myths, hidden power dynamics, fan politics, invisible labour, and future anxieties concerning music culture in the platform era. You will also gain nuanced understanding of how individuals listen, like, share, comment, stan, and duet in the present day.
Every building, bridge, and piece of infrastructure relies on structures that can safely carry loads without failure. In this module, you will learn how civil engineers understand, analyse, and check the behaviour of structural elements such as beams, columns, trusses, and frames. Structural analysis is a core skill in civil engineering and underpins the design of safe, efficient, and sustainable infrastructure. By understanding how forces move through structures and how collapse can occur, engineers can design solutions that are both resilient and sustainable. By the end of the module, you will be able to break down real engineering problems, calculate how structures deform and carry load, and judge whether a structure is safe. You will develop strong problem-solving skills, gain experience with industry-standard structural analysis software, and learn how to interpret results critically. This module provides a foundation for later study in structural design, advanced analysis, and professional engineering practice.
This module aims to provide a detailed understanding and practical application of methods of structural analysis and design to approved codes of practice relevant to typical steel and concrete framed structures. This module will build on the content of CENV2031 Structural Analysis to cover the conceptualisation and detailed design of beams, columns, slabs and connections in reinforced concrete and steel incorporating limit state principles.
This module builds on the structural mechanics, analysis and design modules in Parts 1 and 2. It covers structural stability and the influence of material and geometric nonlinearity; it also introduces the theory and underlying principles of the finite element method as applied to the analysis of structures.
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics.
This module will provide a detailed understanding of the structure and function of the nervous system. Starting with nervous system development and then focusing on the adult nervous system, students will learn about the gross anatomy of the human brain and spinal cord and its constituent systems including autonomic, sensory, visual, auditory, somatosensory, olfactory and limbic systems. Lectures will also be given about the vasculature, ventricles and CSF. Lectures will be supplemented by hands-on neuroanatomy practicals which will be conducted in the purpose-built dissection labs in the Faculty of Medicine, in addition to supplementary small group tutorials to reinforce the lecture material.
If English is your native language, or even if you learned it as an additional language, you may not be aware of the structure of its sounds, words, phrases and sentences. In this module you will learn to describe how English sentences are constructed and you will develop the skills necessary to analyze sentence structure. In so doing, you will use some of the tools and methods of modern linguistics. Our focus will be on how English structure is relevant to teaching English as a second language. The module is intended to deepen your understanding of important areas of English grammar and to develop competence in grammatical analysis and explanation in an ESL classroom context. Although the module will introduce insights from contemporary linguistics, no particular theoretical framework will be espoused.
This module builds on the skills you gained during the year two ‘Research Methods’ module. You will further develop your skills in collecting and analysing data from a range of sources including first hand if you wish, through planning and conducting an independent project that is relevant to health and/or healthcare delivery. You will develop skills in analysis and will have the opportunity to synthesis the findings from an inquiry in an aspect of health and/or healthcare delivery. You will also further develop critical appraisal skills and gain knowledge from a wide range of relevant literature. You will have the opportunity apply this to the design, execution, critique/reflection and recommendations in the reporting of the project.
This module is an opportunity for you to gain experience of your choice outside the core programme. This may be in the UK or overseas, and may include an elective, local clinical placement, or a research or education project. Students can also explore a specialist interest or experience a non-NHS healthcare setting, including charitable organisations or other agencies. Students should be pro-active in securing experiences in areas in which they feel they are weak and/or in which they would like to gain more experience. Students may be advised to use this time for preparing for any supplementary assessments. The 6 week module will take the format of at least 4 weeks experience of your choice with the remaining time for additional reflection and learning. The exact learning experiences of each student will be variable. However, all students should 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. Further details will be provided on Blackboard.
The aim of the Student Selected Unit (SSU) is to introduce an element of choice in the third year curriculum that will develop and broaden the educational experience of the student. Students must undertake one SSU course to fulfil the requirements of this module. The specific learning outcomes of individual SSU courses will vary.
The Selected Unit allow students to develop skills and experience in any clinical postgraduate speciality provided within the final year training centres. The module will normally take the format of a 3 week placement in one or more of our University of Southampton partner trusts. The timing will vary for different student groups and the teaching staff will vary for different trusts and student groups. 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. Further details will be provided on Blackboard.
