The towns in which the Romans lived are some of the most familiar features of the Roman world. Although they seem to look and feel like modern towns, they actually worked in quite different ways, a reflection of the fact that ancient Roman society was distinct to our own. This module introduces you to archaeology of towns from across the Roman world between the 3rd century BC and the 6th century AD. You will learn of the very different ways in which the Romans thought about towns and how they were organized. In particular, you will be introduced to the vibrant political and commercial life of towns in the Roman towns and provinces, and their links with Rome itself. You will also gain an appreciation of how Roman towns actually worked from day to day and their roles within the broader empire, and will also discover why there were very marked differences between towns in different parts of the Mediterranean, northern Europe and north Africa and the Middle East. You will also venture out into the countryside surrounding the towns, and learn something of their links to villages, farms and villas. Following this module, in short, will introduce you to some breath-taking archaeological sites and provide you with a fascinating glimpse into a key part of our European cultural heritage.
Ever since Aristotle, philosophers have been interested in developing formal systems of logic to refine our ability to distinguish valid from invalid arguments and to further our understanding of the nature of logic and validity. The aim of this module is to introduce students to some advanced techniques of logic and formal systems. The first part of the module is concerned with the logic and meta-logic of First Order Logic. If it’s not snowing, does it follow that if it’s snowing then I’m a monkey’s uncle? If all unicorns are wise, does it follow that there are unicorns? The second part of the module will be devoted to more advanced logical systems, such as Modal Logic. If it is obligatory to save all innocent children, does it follow that we actually save them? Could 2+2 make 5?
This module provides a comprehensive overview of the main features of logistic system operations. During the module, students will develop an appreciation for the different ways in which goods and services are managed and handled across the different transport modes from consignor to consignee, and the range of different issues that have to be considered when planning such logistics operations. The module combines theoretical analysis with case study examination and practical field trips to ensure that students experience the logistics systems first-hand. The module takes advantage of the University of Southampton, Transportation Research Group’s’s substantial experience and expertise in logistics research, and will makes use of case studies based on recent and ongoing research projects for local authorities, industry, the EU and EPSRC.
This module is designed to provide learners with the opportunity to explore contemporary issues related to assessment, diagnosis and management of Long-Term Conditions impacting the lower limb. Learners are likely to be from multi-professional backgrounds including Podiatrists, Nurses, Physiotherapists, Occupational Therapists, Prosthetists & Orthotists. Learners will explore topics ranging from condition diagnosis to organisation of healthcare delivery across a range of settings, such as UK NHS services, other health and care organisations within and outside of the UK, charity and sports settings, and the military. This module sits within the MSc Professional Practice in Health programme and is closely linked to complementary modules ‘Clinical biomechanics’ (10ECTS), ‘Contemporary issues in Limb Loss’ (10ECTS) and ‘Amputation and rehabilitation and prosthetic use’ (20ECTS) but can be undertaken as a standalone module. Module content is closely aligned to the School of Health Sciences ‘Long Term Conditions’ and ‘Active Living’ research groups, drawing upon contemporary evidence generation and international field leaders to deliver cutting-edge education. This module is likely to attract professionals who are working in the field of lower limb healthcare, Long-Term Conditions management, or those who would like to move into a career in this field. This module has a flexible study route for working professionals and is taught in a one-week block involving weekend work.
GGES2004 examines long-term environmental change through the period of the glacial-interglacial cycles. These dramatic shifts in Earth's systems are fascinating to study because they show us how the environment reacted to rapid climate change in the past - informing our understanding of what to expect from modern global warming and its knock-on consequences. We will explore the environmental reactions to past rapid climate change, such as extreme sea level shifts, changed geography of landmasses, wildfire and biome migration. We will also examine the possible drivers of these environmental upheavals and consider the possible trajectory of relevant processes from today into the future (e.g. onset of large-scale icesheet collapse). By gaining a long-term perspective on climate and wider environmental change we may contribute to addressing pressing modern issues in conservation - for example, how to maintain habitat quality/function and the conservation of biodiversity in the face of large-scale environmental change. We will first focus on the patterns of climate and wider environment change and how to reconstruct them using core samples and a variety of analytical techniques in the laboratory practicals (these will be taught from basic principles, so no prior knowledge will be needed), before moving on to the implications for our modern world. Two key themes run through the course: sources of information on the forms, rates and mechanisms of global environmental change and secondly the lessons that we can take from the past to inform modern conservation and environmental issues. The aim of the module is to provide students with an introduction to the major themes of study and the principal issues of the period of the glaciations worldwide and the practical skills to undertake their own research into long-term environmental change. The emphasis is at the global scale for the main framework of themes, with much of the detailed focus on the British Isles - because we know more about Europe and the British Isles than any other area on the globe - and because it is where you are!
This module builds on the knowledge and skills from high-level programming. The goal is twofold - programming in both embedded systems and high-performance contexts. C and C++ are used as languages in this module. C is taught because it is a suitable statically-typed low-level comparator with Python (used in the High-Level Programming module), because many commercially-available embedded systems support a C API, and because the debugging process is (relatively) straightforward. C++ is taught to demonstrate further programming concepts that arise from the interaction between inheritance and type systems, and because C++ is a popular language for backend development in the ML space.
This module explores the unique aspects of branding in the luxury sector. Students will learn about the principles, strategies and challenges of managing luxury brands, and how to create and sustain brand equity in the high-end market. You will learn the fundamentals of luxury branding, how to analyse the key elements that differentiate luxury from non-luxury brands, explore the strategies for building and maintaining brand equity, the role of consumer behaviour in luxury branding and develop introductory skills to create luxury brand strategies.
Luxury collaborations and partnerships are strategic alliances between luxury brands, such as artists, designers, celebrities, or even other brands. These collaborations often result in unique, limited-edition products, events or experiences that create buzz, attract a broader audience or reinforce brand values. Luxury collaborations and partnerships offer a powerful way for brands to innovate, expand their reach, and create memorable experiences for their customers. Collaborations and partnerships are not just about sales, they can create positive impact by partnering with brands for mutual good, or partner on new exciting products benefiting from the complementarity of each brands knowledge and expertise.
This module provides a comprehensive exploration of ethical considerations within the luxury industry. Students will gain an understanding of the importance of ethics in maintaining brand integrity and consumer trust. The module covers various aspects of ethical luxury, including sustainable practices, fair trade, labour rights, animal welfare and ethical marketing. Through case studies, practical applications, and industry insights, students will learn to navigate ethical dilemmas and develop strategies to promote ethical practices within luxury brands. By the end of the module, students will be equipped with the knowledge and skills to implement and communicate ethical practices, ensuring the long-term success and sustainability of luxury brands.
This module is designed to guide students through the process of developing and presenting a comprehensive final project proposal in luxury brand management. The module emphasises in-depth research, strategic planning, industry relevance and consideration of your future career path, culminating in the development of a project proposal that addresses a real-world challenge or opportunity in the luxury industry. This proposal extends to Part 2 of the Final Project, which will ask you to deliver a final outcome.
This module is designed to guide students through the execution phase of their final project in luxury brand management, complimentng the Final Project part one module. This part of the FMP emphasises the practical implementation, project management, and continuous evaluation, to ensure the successful completion of the project.
This comprehensive module explores the specialized field of luxury service marketing and management, with a focus on creating exceptional customer experiences. You will gain an in-depth understanding of the unique challenges and opportunities in the luxury service sector, learning strategies to design, deliver, and manage premium service experiences that exceed customer expectations across the luxury sector. This module will include a field trip to a luxury setting to experience luxury service marketing and management.
This module explores the intersection of innovation and technology within the luxury sector. Students will learn how technological advancements and innovative practices are transforming luxury brands, enhancing customer experiences, driving operational efficiencies and sustainable growth. Key topics will include technological integration, customer engagement, operational excellence and future trends. Students will further their understanding by embracing new technologies, exploring how luxury brands can use them to enhance customer experiences, achieve operational efficiencies, and maintain their competitive edge in a rapidly evolving market.
The dissertation is an extended piece of work of 12,000 words, which results from independent research on a topic in Languages & Cultures or Translation & Professional Communication Skills. The dissertation gives you the opportunity to explore a topic of particular interest to you in greater depth than is possible within the scope of a taught module. Your topic will be agreed with course tutors, and you will be allocated a supervisor accordingly.
The culmination of your Masters’ degree, this module will provide you with the opportunity to convert your learning into a 12000 word dissertation on a historical research topic of your choice, subject to available supervisory expertise. Your final dissertation will present a coherent, detailed, and sustained argument on a subject which may follow on from work completed in other elements of the programme. It will involve conducting independent research using a variety of primary sources, and the analysis and interrogation of existing historiography. While you will work independently to produce the final submission, you will be allocated a suitable supervisor, and the project will develop under their supervision.
This module is the culmination of your studies on the MA Contemporary Curating programme, affording you the opportunity to demonstrate the theoretical and practical approaches to curation you have developed. Through tutorials and seminars, but primarily through independent practice, students will be supported in this module in their development of realisations of their individual curatorial interests, exploring experimental techniques and attitudes, demonstrating the knowledge, skills and relationships built over the course of the programme. You will deliver an in-depth written academic dissertation, realise a documented project or submit a fully-detailed project proposal for a designated space.
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined, and then demonstrated using various machine learning methods and appropriate data sets.
The module aims to equip students with the necessary foundations to make practical and effective use of machine learning methods on complex datasets. This course uses R and is delivered as an intensive one-week module for the MSc in Data Analytics for Government.
Machine Learning is about extracting useful information from large and complex datasets. The subject is a rich mixture of concepts from function analysis, statistical modelling and computational techniques. The module will introduce the fundamental principles of the subject, where you will learn the theoretical basis of how learning algorithms are derived and when they are optimally applied, and gain hands-on experience in laboratory-based sessions.
Machine Learning is about extracting useful information from large and complex datasets. Building upon the Machine Learning (I) module, students will learn about a broader range of learning tasks. There will be significant exposure to solving real-world machine learning tasks.
The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduces a data-driven mindset and builds a bridge between geography and computer/data science. The module will cover fundamentals of programming and data science techniques, application of machine learning/deep learning in geospatial data science and fundamentals of cloud computing.
The aim of the module is to introduce students to the fundamentals of machine learning and then to apply the advanced machine learning principles for the design and optimisation of wireless communications systems and mobile networks. Recently, the research and development in wireless communications have been focused on the techniques for the fifth generation (5G) wireless systems and the potential to make these networks intelligent by adding machine learning. Therefore, this course motivates to deliver a general introduction and fundamentals of machine learning followed by the application of machine learning in the design of physical layer techniques in wireless communications and in the optimisation of mobile networks. Exclusions: Cannot be taken with COMP3222 or COMP3223 or COMP6245 or COMP6246 or COMP6208.
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions. Exclusions: Cannot be taken with COMP3206 or COMP3223 or COMP6229 or COMP6245 or COMP6246.
