This module covers concepts in programming languages that go beyond those typically seen or are new to mainstream languages. The goal is to encourage students to look beyond traditional programming practice by introducing new tools and techniques inspired by recent research in programming language theory and practice. Each concept introduced in the module will be supported by considering existing practical implementations of that concept in a variety of programming languages. Students taking this module should have working knowledge of OO languages, Functional Programming, Type Systems and be comfortable learning new programming languages.
International law is about governments collaboratively as well as competitively trying to regulate world affairs. It includes issues as diverse as a government’s treatment of its citizens (international human rights law), the circumstances in which a state can take military action against or in another state, and ongoing efforts to prevent catastrophic changes in the earth’s climate. This module builds on LAWS 2035 Introduction to Public International Law by introducing you to the jurisdictional framework (in both spatial and conceptual senses) of the international legal order, the secondary obligations that arise when a primary one is breached and the rules on the resort to force. We will explore how, by whom, and with what results law has been used to shape or attempt to shape the world in which we live by constraining the conduct of states and other international actors.
Public law is of the highest importance to individuals, defining the institutions which exercise the power of the state, and setting the rules which govern their interaction in relation to each other and to individuals. Though one of the defining characteristics of the United Kingdom’s constitutional order is its long heritage and remarkable stability, the last two decades have seen a number of significant changes in the constitutional sphere. An appreciation of the way in which public law has adapted in order to meet these changing circumstances, as well as the forces which are driving its further development, is of the highest importance to achieving a clear understanding of the nature of the state and the individual’s position in relation to it. This module will communicate a picture of modern public law through the examination of those topics which are most relevant to its recent and on-going development. It addresses key areas which have driven constitutional development in recent years, such as the legal and constitutional crisis surrounding Brexit.
The Advanced Quantitative Research Skills module is focused on extending existing skills in analyzing data from quantitative research. The module consists of two parts. In the first part programming skills in R are being learned. In the second, students will learn the theoretical basis of regression and correlation at a deep level, and also learn how to practically conduct, for two predictors and an outcome, competitive, mediational, and moderational analysis, and appropriately interpret their results. We strongly recommend students to have at least a 2:1 in PSYC2019 as PSYC3064 is an advanced statistics module and the materials covered in PSYC2019 will not be repeated but will be built upon.
This course will cover advanced topics of quantum mechanics including postulates of quantum mechanics, tools of quantum mechanics, Dirac notation, Simple Harmonic oscillator (studied using raising and lowering operators), orbital and spin angular momentum (studied using raising and lowering operators), Relativistic Quantum Mechanics, Density matrix and Schroedinger's cat, Non-locality and Bell's inequalities, Quantum cryptography (distributing secure keys), Basic ideas of Quantum computing (qubits, quantum teleportation). (Last 4 topics non examinable in final assessment, only in the mini-dissertation).
The module will further develop the understanding of reaction engineering and will look in detail in biochemical and biological reactors, real reactors and catalytic reactors.
This module is designed to provide you with some of the research skills required to carry out a final year dissertation in psychology. It involves developing your ability to critically evaluate and review research articles in education and psychology, and learning how to analyse and present the results of statistical analyses of the relationship between several independent variables and a dependent variable. The critical reviews are based on articles drawn from your dissertation area. The main focus of the statistics component is on analysis of variance and multiple regression, but non-parametric equivalents are also considered.
The aim of this module is to allow students to carry out an extensive research project on a specific topic related to their main area of study.
This module is the delivery vehicle for the FHEQ Level 7 research project that must be carried out by each MEnvSci student with guidance from a supervisor.
You will undertake a substantive piece of independent work. This is designed to demonstrate your ability to manage your own learning, to draw together information for a variety of sources and to make use of a range of concepts and techniques
The project involves approximately 750 hours of commitment including the practical based research work and preparation of a dissertation.
Within this module, you will have the opportunity to study different areas of American history. This will take place in student-led discussions, which are convened and supported by historians with experience in US history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of American historiography and methodology.
Within this module, you will have the opportunity to study different areas of ancient history. This will take place in student-led discussions, which are convened and supported by historians with experience in ancient history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of ancient historiography and methodology.
Within this module, you will have the opportunity to study different areas of early modern history. This will take place in student-led discussions, which are convened and supported by historians with experience in early modern history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of early modern historiography and methodology.
Within this module, you will have the opportunity to study different areas of modern British history. This will take place in student-led discussions, which are convened and supported by historians with experience in modern British history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of modern British historiography and methodology.
The module consists of four workshops on: 1) Analysis and critical appraisal of large datasets 2) Bringing your science to the public 3) Scientific writing 4) Preparation of a research grant proposal In addition there will be two sessions on: 1) The preparation and presentation of a scientific poster 2) Clinical/commercial translation and technology transfer The 'analysis and critical appraisal of large datasets' workshop will combine a seminar and a general discussion to clarify any points and frame any questions arising from the lecture that the students find interesting. The students will be required to write a review of data visualisation techniques and their applications. In the 'bringing your science to the public' workshop, the students will learn how to communicate their research effectively to the public and will present their Research Project 1 in lay terms. In the 'scientific writing' workshop, the students will be introduced to academic/scientific writing skills. The 'research grant proposal' workshop will consist of a seminar followed by a session in which the students will prepare an outline grant proposal. This will equip the students to prepare a three-year research grant proposal with support from either the Research Project 1 or Research Project 2 supervisor. This module will build on key components of Research Skills for Biomedical Science 1 where students learn to develop a research hypothesis in addition to statistical methodology. This will enable students to gain understanding and develop the skills required to design and write a competitive, three-year research grant proposal which will be an extension of either their first, or second research project The two remaining sessions will focus on skills required to prepare and present a scientific poster and strategies for the commercialisation of research output.
This module explores from traditional conditioning monitoring of machinery to biomechanical systems (i.e. sensors to monitor body forces and motions). It covers condition monitoring strategies, including international standards, monitoring procedures and system integration. In addition, advanced sensors and sensing methods, as well as advanced signal processing techniques are covered.
The Advanced Skills Portfolio documents your development in and mastery of a range of subject-specific, transferable and generic skills during the first two years of the research phase of the IPhD Applied Linguistics/English Language Teaching programme. It is compiled as part of your preparation for your PhD Confirmation, building on a range of different learning activities and experiences undertaken during this doctoral programme. You will be invited to start planning your Advanced Skills Portfolio in your first year of the programme. Through your ongoing preparation of the Advanced Skills Portfolio over parts two and three of the IPhD, you will reflect critically on your developing research expertise, professional training, personal development, and employability. This will help identify areas of your development to focus on in the latter stages of the doctoral journey, supporting you in the transition to a future career as an academic, a researcher, a teacher, or in other employment sectors. The written portfolio is formally assessed.
The human sciences are evolving fast to incorporate new forms of data and powerful new analysis tools. Advances in machine learning have allowed huge improvements in our ability to predict individual characteristics and preferences, while our interactions with networked devices and online stores and services produce ‘digital breadcrumbs’ that can lead us to new insights about behaviour. The types of sources which social researchers now investigate include data on trends in search terms, online review databases, and many others. At the same time, these methods and data sources generate important ethical issues that we must consider. This module will provide students with crucial skills in data manipulation and visualisation, programming and the application of machine learning methods to social data. These skills have wide-ranging applications in research business, and the public sector.
Modern spectroscopic techniques underpin a wide range of chemical and biological research as well as serving as a valuable analytical tool. This module will introduce some of the key principles, tools and techniques that govern spectroscopic measurements and allow scientists of all disciplines to characterise chemical structure and composition, image biological samples and follow chemical reactions in intricate detail. The module will cover how these techniques can be used for both applied science relevant to biological imaging, as well as more fundamental science for measuring the motion of the atoms and electrons that drive chemical reactivity.
This module focuses on the application of statistical methods specially developed for epidemiological study data. Topics include the basic disease occurrence measures of prevalence and incidence with their role in surveillance including standardization, Mantel-Haenszel estimation of various effect measures including the risk ratio and risk difference for cohort studies and the odds ratio for case-control studies as well as Poisson and logistic regression to adjust for potential confounders simultaneously. The module also includes elements of time-to-event analysis including Kaplan-Meier estimation and Cox' proportional hazards model for confounder adjustment. Finally, basic concepts of statistical methods for meta-analysis will be introduced. The module includes a mixture of lectures and practical workshops using the software STATA.
