Key information
- Faculty
- Faculty of Medical Sciences
- Teaching department
- Division of Surgery and Interventional Science
- Credit value
- 15
- Restrictions
-
This module is a core module for some students, so they will be given priority. Students need a basic engineering background. If chosen as an elective or optional module, enrolment will be at the discretion of the module lead, subject to student profile, capacity limits etc. The coursework requires a substantial programming in MATLAB, so either previous experience or a commitment to familiarise yourself with the environment is essential
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
This module will introduce students to the user-centred design process and will focus on advanced human-machine interfaces, exploring brain-machine interfaces in depth, as well as considering other bio-signal interfaces and eye-trackers. The underlying theory and techniques such as signal processing, machine learning and shared control will be covered, as well as considerations for recording electrophysiological signals. This module aims to introduce students to cutting edge human-machine interfaces, with a view to driving these technologies forward and helping to transition them out of the lab. Apart from the physical interface and associated signal processing, students will be challenged to think carefully about the interaction protocol so that complex interfaces can be functional, intuitive and easy to use. The students' attention is drawn towards design paradigms such as user centred design and inclusive design, which, complementary to the engineering considerations, include aspects of human factors, psychology and market analysis.
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 2 听听听
Undergraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
50%
Coursework
50%
In-class activity
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
17
- Module leader
-
Professor Tom Carlson
- Who to contact for more information
- reat-msc@ucl.ac.uk
Intended teaching term:
Term 2 听听听
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
50%
Coursework
50%
In-class activity
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
4
- Module leader
-
Professor Tom Carlson
- Who to contact for more information
- reat-msc@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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