This module provides a detailed and up-to-date study of a small number of topics in modern cell biology
This third-year module aims to familiarize students with current topics in cognitive psychology and neuroscience, particularly those that are actively researched at the Centre for Perception and Cognition in the School of Psychology. Through lectures and tutorials, students will explore theoretical and experimental approaches to a wide range of topics including perception, attention and cognitive control, memory, learning, decision-making, neuroimaging, reading and the applications of AI in Psychology. This module stands out for its emphasis on the latest advancements in cognitive psychology and its efforts to establish methodological connections across different domains. Lectures offer a concise overview of key concepts in perceptual and cognitive processing, underscoring their significance in the ongoing research conducted by the lecturers. This enables an in-depth examination of recent research projects, exposing students to state-of-the-art techniques such as eye tracking, neuroimaging, and artificial intelligence. Real examples from lecturers' work offer firsthand experience of methods and concepts applicable in academic or non-academic careers.
This module aims to familiarize students with current topics in cognitive psychology and neuroscience, particularly those that are actively researched at the Centre for Perception and Cognition in the School of Psychology. Through lectures and tutorials, students will explore theoretical and experimental approaches to a wide range of topics including perception, attention and cognitive control, memory, learning, decision-making, neuroimaging, reading and the applications of AI in Psychology. This module stands out for its emphasis on the latest advancements in cognitive psychology and its efforts to establish methodological connections across different domains. Lectures offer a concise overview of key concepts in perceptual and cognitive processing, underscoring their significance in the ongoing research conducted by the lecturers. This enables an in-depth examination of recent research projects, exposing students to state-of-the-art techniques such as eye tracking, neuroimaging, and artificial intelligence. Real examples from lecturers' work offer firsthand experience of methods and concepts applicable in academic or non-academic careers.
This module has been developed to connect cutting-edge research in the field of strategy and innovation to teaching in the classroom. Particularly, this module leverages state-of-the-art research from tutors in the Strategy, Innovation and Entrepreneurship department, with the latest findings from their colleagues, operating in a global research environment. This enables learning about the latest developments in the strategy and innovation management field.
You will study approaches to curriculum design and development and examine the conceptions and models that support these processes. You will come to appreciate the complexities and issues that surround curriculum design, including the influences of stakeholders in managing and assessing the curriculum, and the reality of transforming theory into practice. A variety of contexts will be used to support your understanding of curriculum design, including the English National Curriculum and the curricula of other countries.
This module requires the learner to consider their particular environment in the context of wider curriculum design and development. It will require the student examines to compare and contrast different curriculum models. Students will explore appropriate models of evaluating education and training at work. This module is taught at M level.
Understanding what motivates, influences and drives buyers to buy; be they consumers or business purchasers, is a critical area of learning in marketing. This module explores a range of buyer behaviour concepts, models and frameworks, enabling you to critically consider how these apply to different organisations and contexts. Further, this module supports you to connect with learning across your programme, in areas such as customer insight and marketing data analysis, to consider how understanding buyer behaviour can contribute to the development of effective and relevant marketing actions.
This module will clarify the links between: identifying characteristics of consumers that can be measured or understood; the methods to measure or understand those characteristics; and how such measurements and understanding support marketing decision-making. It will focus upon how ubiquitous data from Internet can be used to understand and gain insight into consumption patterns and customer behaviour.
This module is designed to introduce you to the human dimension of cybercrime and cyber security. It is not coming from a technical perspective, but instead a critical criminological approach is applied to the topic. This means that we will be questioning theory, policy and practice, and discuss the way that this area might develop in the future.
This module covers two aspects of a pivotal intersection: applying security to defend machine learning and leveraging machine learning to enhance security. The aims at a high level are to: - Investigate security issues around machine learning systems - Review a variety of defence mechanisms for machine learning systems - Explore the use of machine learning in cyber security
Film Noir is one of Hollywood’s perennial cult genres, yet it is notoriously difficult to define, as it essentially amounts to a retrospective invention by critics. This module will attempt an understanding of the term through reference to its cultural contexts, placing the main corpus of the genre’s classics within its original historical moment of the 1940s and 1950s, as well as exploring its later Neo-Noir and global incarnations
This module provides an overview of key approaches to the analysis of quantitative and qualitative data in education. Building on the knowledge you gained about educational research design and data collection, you will learn how to turn your data into research findings, how to ensure the quality of your analysis, and how to present and communicate your findings.
Working with data of various forms is a crucial skill for all engineers and scientists. This module introduces students to working with, analysing and processing various different forms of data. The module focusses on ensuring students have a thorough grasp of the appropriate use of statistical and graphical measures to make decisions on data, and the basic practical tools and techniques required to filter, refine and query data. At its heart, this module provides the grounding for students to be able to perform Exploratory Data Analysis (EDA).
This module is intended to provide you with a blend of theory and current practice in organisational decision making and data management. The module critically discusses the complexity of organisational decision making by identifying key concepts and relevant theories. The module examines the role of knowledge in the contemporary organisations and explore the ways it can be used for better data management. Existing models for analysing decision making processes are examined, as well as how information systems and analytical tools can be used to tap into (big) data and support and enhance decision making within different organisational contexts.
This module will provide you with knowledge and understanding of data analytics to support decision making in modern marketing. You will explore the role of data analytics in marketing strategy and develop an insight into how to apply analytical tools to solve marketing problems, achieve ethical and sustainability goals and foster innovation. You will have the opportunity to learn through real-world case studies and experiment with different types of analytics. You will learn the principles, methods, and uses of data analytics in achieving marketing and business goals.
