Aims and Fit of Module

This module aims to expose students to real engineering and industrial problems, where most of the classes will be led by an industrial expert. The delivery of this module takes the form of active and live discussion between the class presenter and the rest of the students. Students will have the opportunity to suggest their own desirable learning outcome for every session or block.

There are 2 Bespoke Industrial Studios for the MSc in Intelligent Engineering Science & Industrial Operations (MSc IESIO), and this is the first of the series. Bespoke Industrial Studio 1 (BIS1) will expose students to topics related closely to modules delivered in the first part of MSc IESIO i.e. materials, manufacturing processes, big data analysis, and internet of things. Revolving around these topics, BIS1 will explore state-of-the-art practice of engineering solutions provision in real world industrial problems. On top of that, BIS1 will include complementary knowledge of industrial practice in Research and Development (R&D), covering topics of conceptual and engineering design, industrial research, and links to manufacturing and materials.

The industrial expert will lead the class by providing real problems and issues to students. Along with explanation and exposure to actual way things work in industry, students will lead in the creation of solutions to the problems. The module may take the form of being led by several university academics, alongside a number of industrial experts to deliver the entire course. The module will be assessed by 100% coursework, from which students will have the opportunity to take on, lead, and complete a project where real industrial problems would be addressed and ideally solved.

Learning outcomes

A Demonstrate understanding of actual engineering and industrial activities in the context of Engineering Research and Development department
B Apply knowledge of manufacturing process and materials in industrial Research and Development context
C Combine the knowledge of big data analysis, internet of things, and concurrent engineering to provide engineering solutions to real world problems
D Design and develop scientific methodology to solve engineering problems

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments.
The Bespoke Industrial Studio will be heavily influenced by key industrial experts to provide maximum industrial exposure to the students. Classes generally will be discussion-based, where real world problems are explored.