Key information
- Faculty
- Faculty of Engineering Sciences
- Teaching department
- Medical Physics and Biomedical Engineering
- Credit value
- 15
- Restrictions
-
The module is not restricted but it is a pre-requisite that students have taken a programming module such as MPHY0021, “Research Software Engineering with Python”, or MPHY0030 “Programming Foundations for Medical Image Analysis”, and in addition, taken a course in linear algebra.
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
Computer-assisted surgery (CAS) is a growing field in which computer software and hardware technologies are deployed to increase the safety, accuracy, and effectiveness of surgical and other interventional procedures. This module aims to introduce key concepts in CAS from a theoretical and practical perspective. Students completing the module are expected to demonstrate an understanding of the mathematical/computational basis, practical application, and clinical context of topics including image segmentation, image registration, visualisation of anatomical structures, instrument tracking, system calibration and usability.
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 2
Undergraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- MyAV of students on module in previous year
-
8
- Module leader
-
Professor Matt Clarkson
- Who to contact for more information
- medphys.teaching@ucl.ac.uk
Intended teaching term:
Term 2
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- MyAV of students on module in previous year
-
23
- Module leader
-
Professor Matt Clarkson
- Who to contact for more information
- medphys.teaching@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.