As a student here, you will experience research-based teaching and work alongside academics who are making discoveries and breakthroughs in your subject. You will study 180 credits in total during your Mechatronics and Robotics MSc (Eng). A standard module is typically worth 15 credits and the research project is worth 60 credits. These are the modules studied in 2019. If you are starting in September 2020, these will give you a flavour of the modules you are likely to study. All modules are subject to change.
This module aims to engage students in developing a detailed understanding of the global engineering industry and assist them with their career plans.
Involves independent research on a relevant topic agreed between you and your supervisor, throughout the second semester and the summer months.
Design and development of locomotion system of a humanoid robot
Design, simulation and development of a water pipe inspection robot
Design and development of a three finger robotic hand for use in Laparoscopic Surgery.
This module enables you to participate in a group activity involving a multi-disciplinary approach to achieve a solution to a programme specific industrially relevant design problem.
This module deals with aspects of natural computing and conventional AI and how they complement each other; algorithms based on cooperative behaviour of distributed systems with no, or little central control; design and application of simple genetic algorithms; the relation between artificial neural networks and statistical learning; how the fields of artificial neural networks and computational and cognitive neuroscience inform each other; and recent research on bio-inspired computing.
This module covers modern power semiconductor switching devices, their characteristics and fields of use, and to explain their switching and thermal behaviour; switch-mode power supplies with transformer isolation and power electronic control principles for renewable energy sources.
Provides an understanding of the principles of the design of digital signal processing systems for VLSI technologies. You will gain a detailed knowledge of digital design techniques for silicon chip technologies in the sub-100nm scale, understand the fundamentals of implementing complex systems on a single chip, and be able to use contemporary EDA design tools to design practical examples.
This module covers the analysis and design of control systems. Students’ knowledge and understanding of linear systems is developed to enable them to analyse control systems using analytical techniques and computer tools.
Gain an understanding into how algorithms are implemented in practice on a microprocessor within a System-on-chip environment. Learn how to Implement complex microprocessor based systems and embedded systems. Perform hardware debugging of microprocessor systems and understand the limitations and advantages of the system-on-chip architecture and associated ARM processor.
This module provides you with a knowledge and understanding of how electronics and communications technology is and could be used in medical applications and healthcare.
Develops competence in computer programming, using both Matlab and c.
The module introduces students to the basic computational methods used to solve engineering problems modelled by ordinary differential equations and parabolic or hyperbolic partial differential equations. They will also learn how to implement the learned methods in practice. Engineering simulation software packages rely on computational methods and a good understanding is crucial to knowledgeably use them.
This module will introduce the topic of aerial robotics and provide the foundations to be skilled in the design, control, and operation, ethical and legal aspects.
Biomechatronics is the application of mechatronic engineering to human biology. The aim of this module is to provide an understanding of biomechatronic and medical robotic engineering systems challenges, solutions and analysis.