This module aims to give an overview of cyber security. The module will equip students with a clear view of the current cyber security landscape considering not only technical measures and defences, but also the other subject areas that apply, including legal, management, crime, risk, social and human factors. Lectures will be given by staff from the University's Academic Centre of Excellence in Cyber Security with invited expert speakers from industry. Case studies are used to reinforce the concepts being introduced.
Welcome to the Foundations of Data Science! 'Data scientist' has been described as the sexiest job of the 21st century, with the demand for highly skilled practitioners rising quickly to leverage the increasing amount of data available for study. As the amount of data increases, so too does the need for employees who can extract meaningful insights from this data. This course is designed to introduce you to a range of topics and concepts related to the data science process. It will cover the technical pipeline from data collection, to processing, analysis and visualisation. You will be introduced to and gain knowledge of various topics such as statistics, crawling data, data visualisation, advanced databases and cloud computing, along with a toolkit to use with data (including R, D3, Google Refine and Hadoop). The course will include a mix of lectures, tutorials, hands-on exercises and invited talks from expert data science practitioners. Coursework will allow you to gain experience using the theory and techniques delivered in the lectures, while the group project will give you the chance to apply knowledge of the data science process and toolkit in the development of a data science application.
This module explores the devices, technologies and software that enable embedded Internet of Things (IoT) systems. Typical architectures of IoT systems are introduced, from microcontrollers to communications with Cloud components. We consider how these systems operate, are programmed, and how they are powered. We also consider the embedded operating systems used by IoT systems, e.g. RIOT-OS and MBED, which provide core libraries for IoT functionality. Students will also learn how to use typical IoT communications technologies, e.g. LoRaWAN (using our campus-wide base stations) and MQTT for passing data messages.
This module will equip you with fundamental Fashion Design methods used to conduct research, develop ideas, make patterns and construct garments, it will also introduce you to design technology and presentation techniques to support your growth as a designer. Through demonstrations, workshops and the BA Fashion Design interactive technical and design hubs you will explore a range of core skills and test different methods. A research informed approach to identifying and understanding processes and methods used in the Fashion Design industry today will underpin your informed portfolio of outcomes.
The module develops an understanding of the role Finance has in the world today by examining topics such as Ethical Finance, compounding and discounting cash flows, as well as an introduction to risk management. This module is critical for laying the foundations for future modules in Finance and therefore is an excellent introductory module for any student looking for further their studies in Finance.
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 cover the fundamental principles in the subject, where you will learn the theoretical basis of how learning algorithms are derived and when they are optimally applied, and gain some hands-on experience in laboratory-bases sessions. It will lead to more advanced material covered in later modules. Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP6229 or COMP6245 or COMP6246.
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 cover the fundamental principles in the subject, where you will learn the theoretical basis of how learning algorithms are derived and when they are optimally applied, and gain some hands-on experience in laboratory-bases sessions. It will lead to more advanced material covered in later modules. Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP3223 or COMP6229 or COMP6246.
You will be introduced to issues of private and public law and how they intersect in the unique environment of the oceans. You will explore the relationship between States and individuals. It explores the underlying values of law in relation to the ocean and ocean users, and the resulting debates.
This module introduces some key concepts about the use of some basic statistical and analytical techniques within the marketing context. Students will learn through a combination of lectures, group work, practical (computer-lab) sessions (where needed), and self-study. After studying this module, students will be able to apply these techniques to analyse data in practice.
The BM4 course in years 1 and 2 is a highly contextualised and integrated course in which the application of knowledge and understanding, clinical skills and professional practice applicable to medicine are learned through clinical topic weeks in which students learn in a style similar to problem based learning. This module focuses on the 鈥渁pplication of knowledge and understanding applicable to medicine鈥 and the assessment is predominantly confirms this. However it is not a stand alone module and should be recognised by teachers and students alike as part of the whole course which is achieved by this module alongside 2 other modules 鈥 Integration of Knowledge and Clinical Medicine 2 and Clinical Medicine 2. The emphasis of the assessments for each of these modules aligns with the focus of learning for that module; however the integrated nature of the course means that there will undoubtedly be overlap and aspects of the assessment in each module will draw upon learning from all 3 modules. Further details will be provided on Blackboard.
This module will provide an introduction to microeconomic analysis, the detailed analysis of individuals and groups within the economy. Combined with Principles of Macroeconomics this module will provide an appropriate foundation for subsequent economic modules. This module is designed for students that do not have an A-Level in Economics. Students cannot take both Foundations and Principles of Microeconomics, only one of these two modules can be selected.
A deep dive into foundational texts, themes and ideas that have shaped the study of modern politics in all its dimensions.
This introductory module will provide you with the opportunity to explore and practice some of the basic principles of occupational therapy and reflect on the value of the individual as an 'occupational being'.
This module runs alongside Anatomy and Physiology, helping you to develop strong foundational theoretical knowledge and practical skills that will underpin your future practice as a physiotherapist. You will have the opportunity to apply and consolidate your learning from Anatomy and Physiology 1 and will develop this further by exploring the biopsychosocial and cultural factors underpinning human movement and function. You will begin to develop your skills in communication, movement analysis and principles of rehabilitation. Alongside the other modules in Part 1 you will be guided to develop core skills of professionalism, safe and reflective practice as a therapist.
Understanding qualitative research methods and knowing how to interpret findings and conclusions from qualitative research is fundamental to being able to critique an evidence base. This module teaches you the underpinnings of qualitative research methods that are used in health research. You will develop the skills needed to critically appraise research when considering the results reported by others.
There are two broad objectives to the module: 鈥 The first objective is to introduce students to academic research concerned with social sciences in general and accounting, finance and management research, in particular. The course will therefore enhance students鈥 knowledge of the research process and methodology and enable them to be aware of the problems associated with research. 鈥 The second main purpose is to prepare students for their dissertations. Guidance will be given as to how to proceed with their research, the choices available to them and an awareness of problems they may face.
In this module, we will look at the dominant traditions in the philosophy of social science and how these have shaped substantive research within the study of the social sciences. Furthermore, we will deal with the practical challenges of designing and conducting research, including defining research questions, identifying appropriate methods, research management and problem solving, writing up research, ethical issues, and thinking reflexively about research practice. By the end of this module you should be able to design and produce an original and viable research proposal that demonstrates your understanding of the utility of concrete methodological approaches and the appropriateness of the same for your concrete research question.
This module will provide students with an understanding of the historical development, philosophical underpinnings, and structure of the Canadian legal system. In so doing, students will critically engage with the role of law in Canadian society, reflect on the plural nature of the country鈥檚 legal system, develop an awareness of the challenges to the efficient and equitable operation of the legal system, and examine the limits and possibilities of law as a vehicle for social change.
This option will examine the relationship between French identity and culture since 1981 with the elections of Fran莽ois Mitterrand by exploring the ways in which identities of different social groups are expressed within the economic, political and cultural contexts of contemporary France.
This module explores cinema鈥檚 relationship to the past, whether distant, as in that of ancient Greece, Rome or Egypt, or from a more recent history.
The module brings together a range of ideas, subject-matter and methods of making, to enable a more complete understanding of the scope and potential of contemporary art practice. There is an emphasis on the outward-looking, the large-scale and the expansive.
In 1940 France experienced the worst military defeat in its history. On this module you will explore the causes and consequences of a defeat that caused the collapse of French democratic rule and direct military occupation by the Germans until 1944. You will learn about how the French experienced and came to understand the defeat, and the bruising compromises with the German occupiers that followed. We focus especially on the functioning and ideological underpinning of the authoritarian Vichy regime (1940-1944), which enjoyed semi-autonomous status over the period; the collaboration with the Nazis of both political elites and ordinary men and women; and the complicity of the Vichy regime in the deportation of 80 000 Jews to Auschwitz. You will encounter the military, diplomatic, political, social and cultural dimensions of this complex subject. Through an engagement with primary sources in translation, we consider how the defeat was understood by contemporaries, how the Vichy regime sought to retain its sovereignty in the face of crushing German Occupation, and the daily life of civilians.
The second half of the special subject invites you to consider not only how the French resisted Occupation and achieved Liberation from German military forces in 1944, but how they have subsequently memorialised the war and Occupation experience as a whole. The module begins with an exploration of popular resistance to German Occupation and Vichy rule. A culture of dissent emerged, especially after 1942, encompassing guerrilla warfare, underground publishing and demonstrations for food. We study the military, political and social dimensions of the Liberation of 1944, from D-Day onwards, and the competing visions for liberated France outlined by different political factions, especially Gaullists and communists; as well as the trials of collaborators that followed Liberation (1945-51). Finally, we explore post-war representations and interrogations of the experience of Occupation, from documentary films and fiction to trials for crimes against humanity, public apologies and compensation claims made by deportees, in order to gain a sense of how public memory of the 鈥榙ark years' has been articulated and contested since 1944.
