Management of Projects Fundamentals
The aim of this Unit is to develop student knowledge in the fundamentals of project management and the management of projects through the Body of Knowledge (APM) and Book of Knowledge (PMI).
Management of Projects Professional Practice
The aim of this Unit is to develop student knowledge in the management of projects in a professional practice setting via problem based learning. Students will be expected to analyse, critique and recommend solutions for an existing project.
Using a problem based learning approach, with a case study provided by an industrial partner, students will explore the management strategies, processes and stakeholders involved in the project, and develop communication and coordination plans to monitor and control the project information.
Engineering Design for Innovation
The success of Industry 4.0 depends on innovative, sustainable and fully fit-for-purpose designs for new and existing products, which exploit the latest technological advances in engineering. Effective designs depend on a structured and holistic approach to the design process.
Students will learn about the different stages of the design life cycle, and associated techniques and methodologies, such as Quality Function Deployment (QFD), concept ideas and selection, materials and manufacturing methods, and full life-cycle analysis, with reference to applicable legislation and standards, marketplace, environmental and sustainability factors.
Systems Engineering for Industry
A range of interdisciplinary skills in systems thinking and systems analysis will be required to support the delivery of new engineering products, enterprise and services for Industry 4.0.
Students will learn how analysis and decision making during the operational and developmental phases of the system life cycle for complex systems is supported by hierarchical models of the system’s structure and its functional and physical building blocks.
A resilient and sustainable economic future depends on engineering products and processes that use resources and energy at a rate that does not compromise the natural environment, or the ability of future generations to meet their own needs.
Students will learn about the latest developments in harvesting energy from natural resources, such as wind, solar, bioenergy, hydrogen fuel cells, gaseous and liquid biofuels, etc. and about what informs business decision-making when evaluating sustainable plant performance and materials selection.
Individual Research Project
Inspired by the learning from the other units on their programme, the research and enterprise activity of the teaching team, and possibly by relevant workplace experience, students will use this unit to develop a deep theoretical and practical understanding of a subject field within their engineering area of study.
A supporting directed programme of study will introduce students to research methods and practical guidance for proposing, developing, implementing and reporting a research project.
Students will work with a supervisory team to identify an area of study that is within the disciplinary scope of the award, and one that will have sufficient breadth and depth to meet the unit and programme learning outcomes. A range of themed challenges will be offered, for example Industry 4.0, Transport, Energy and the Environment, Health and Wellbeing, Project Management and Water.
Applied Materials for Modernisation
Materials Science is one of the key disciplines of the 21st Century. Innovations in the design and modification of materials will make significant contributions in the years and decades to come, providing intelligent products for areas such as health, energy, mobility and communication, as well as environment and climate management.
You will learn about the impact of the latest developments in materials science, and how material properties and characteristics can be enhanced using appropriate additive methods, to improve production methods and engineering design in general.
Manufacturing for Industry 4.0
Industry 4.0 brings automation, operational intelligence and connectedness to manufacturing to create smart factories, with processes and workflows monitored in real time. Digital twins – accurate computer models of the layout and operation of the factory, provide predictive simulation tools for manufacturing managers. Alternative layouts and workflows can be modelled, analysed, and optimised prior to investing in their implementation.
Students will work with case studies and details of manufacturing cells and workflows, developing accurate digital twin models and applying the principles of predictive simulation to quantify and optimise the benefits, risks and costs of modifications.