MEDICAL ROBOTICS - 2022/3
Module code: ENGM300
This module will cover the theory and application of robotics in biomedical applications.
Mechanical Engineering Sciences
OLDFIELD Matthew (Mech Eng Sci)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 73
Lecture Hours: 33
Tutorial Hours: 3
Laboratory Hours: 8
Captured Content: 33
Prerequisites / Co-requisites
Indicative content includes:
Basic principles of robotics; kinematic analysis; dynamic performance; motion planning; robotic control; co-operative robotics; different types of sensor and actuators commonly used in medical robots, for example motors, encoders, torque and load cells, and pneumatic muscles; applications of medical robotics; commercial robotic systems; soft robotics; integration of robots with the surgical environment; common procedures; experimental robotic technologies; ethical considerations; and exoskeletons.
|Assessment type||Unit of assessment||Weighting|
|Coursework||Report / short paper, based on physical laboratory sessions or computational simulations of robotic systems||40|
|Examination Online||Exam: Online (open book) - two hours within a four-hour window||60|
The assessment strategy is designed to consolidate students' learning and application of theoretical and contextual material delivered in the module. The coursework will assess the ability to apply mathematical and practical concepts to an engineering task. The examination will address broader aspects of medical robotics and the ability of students to understand and appreciate the technical and wider considerations of using robots for medical applications.
The summative assessment for this module consists of:
Coursework - learning outcomes 1 and 2;
Examination - learning outcomes 3, 4 and 5.
Formative Assessment and Feedback
Three formative tutorial sessions will be delivered throughout the module. Students will also receive feedback during lectures, laboratory classes and following the coursework assessment.
- To deliver an understanding of the principles of robotics and their application in a medical context.
- To introduce the broader range of considerations associated with the practical implementation of medical robotic technologies in surgery and other medical scenarios.
|001||Understand fundamental concepts in robotics and robotic control.||KC||M1|
|002||Implement the principles of robotics and robotic control in solving practical problems.||CPT||M1, M2, M3, M12, M17|
|003||Demonstrate an understanding of the links between robotic theory and the design of medical robots.||KC||M13|
|004||Describe the applications of medical robotics in a range of scenarios including rehabilitation and surgery.||K||M13|
|005||Appreciate broader issues linked to medical robotics and their practical application.||KCPT||M13, M7|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to provide a mixture of structured delivery, practical learning and independent study, which includes time spent on the coursework exercise. The practical element will provide context to the theoretical content of the module and be used to illustrate concepts. Tutorials will be used to consolidate material covered during the course and as an opportunity to focus attention on areas that students wish to revisit on an ad-hoc basis.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: ENGM300
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.