Mechatronics & Intelligent Machines

This module will develop the skills necessary for you to conduct technical studies at an advanced level effectively.

The aim of this module is for you to undertake an advanced-level piece of work including some significant elements of research and originality. You'll specify, plan, execute and report a programme of work leading to the design of a system, service or product, incorporating aa range of aspects involving the study of current research or advanced developments.

This module will provide you with the knowledge, skills and experience in intelligent maintenance and Industry 4.0. You will develop your research skills necessary to study areas of developing intelligent maintenance research.

This module introduces methods of computer interfacing of industrial or scientific instruments and data processing for monitoring and control of engineering processes. It provides a comprehensive understanding of the use of advanced instrumentation and sensing methods. The module will also consider the application of signal processing methods and system design methods.

On this module you'll be provided with 26-38 weeks practical experience of working in an engineering-related environment. You will build on and apply the materials studied during your course. You'll also experience professional working practices to develop your personal and professional skills. This module is compulsory if you are registered on MSc with professional placement and not available for other courses.

On this module you will undertake a 8-12 week work placement. You'll apply and develop learning materials that you have studied on the course to excel in a professional working practice. This module is compulsory if you are registered on MSc with work placement and not available for other courses

You will gain the theoretical, analytical and practical skills to practice condition monitoring, control and simulation techniques. Intelligent Machines (IM) refers to a collection of techniques which solve sequential decision-making problems using trial-and-error. It is a core area of research in artificial intelligence. Other topics covered include scalable function approximation using neural network representations and concurrent interactive learning of multiple systems.

This module introduces methods of computer interfacing of industrial or scientific instruments and data processing for monitoring and control of engineering processes. It provides a comprehensive understanding of the use of advanced instrumentation and sensing methods. The module will also consider the application of signal processing methods and system design methods.

In this module you will analyse the nature of renewable energy sources and how this affects use and technology. You will also understand how energy is extracted and learn about the technology used to do this.

You will gain experience in the processes of maintaining product integrity within engineering design and the product cycle. You'll look at the responsibilities of the engineer to both the enterprise and society by looking at both national and international standards. You will also analyse and evaluate several risks and ethical and legal responsibilities.

This module covers designing bearings to reduce power loss. You'll assess and select materials to minimise friction and wear. Apply ISO standards for lubricant management and design condition-monitoring solutions for machines. You'll also conduct reliability and maintainability analyses for mechanical or electrical devices.