modules

The knowledge you gain within this module will enhance your ability of the use of mathematical modelling techniques, computer simulation, and machine learning to tackle modern operations and supply chain management problems, as well as, to make informed strategic decisions. This module focuses on developing your skills in operations research/ management science, simulation modelling, and machine learning to solve practical engineering and management problems drawn from various functional areas (operations, supply chain, logistics, quality, finance, etc.) in different organisations (manufacturing, service, public sector, etc.). The module provides you with advanced analytical tools and methods to help you make optimal decisions. This module equips you with practical hands-on experience to the theories and techniques of modelling and simulation in a variety of contexts, and you will gain expertise in simulation software.

In this module, you will undertake some laboratory activities to learn industry 4.0 methodology in the Exeter Digital Enterprise System (ExDES) laboratory. You will also learn a sound foundation of machine learning applied to manufacturing and supply chain processes. You don’t need any prior knowledge of data science to understand and be able to apply these machine learning methods and tools. The module is suitable for non-specialist students. The module is recommended for interdisciplinary pathways.

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}