Surrey University Stag

MEDICAL ROBOTICS - 2023/4

Module code: ENGM300

Module Overview

This module will cover the theory and application of robotics in biomedical applications.

Module provider

Mechanical Engineering Sciences

Module Leader

OLDFIELD Matthew (Mech Eng Sci)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

JACs code:

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

Module Availability

Semester 1

Prerequisites / Co-requisites

N/A

Module content

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 pattern

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

Alternative Assessment

N/A

Assessment Strategy

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. 

 

Summative Assessment

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.

Module aims

  • 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.

Learning outcomes

Attributes Developed
Ref
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

Attributes Developed

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.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ENGM300

Other information

N/A

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Mechanical Engineering MEng 1 Optional A weighted aggregate mark of 50% is required to pass the module
Biomedical Engineering MEng 1 Optional A weighted aggregate mark of 50% is required to pass the module

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 2023/4 academic year.