Google have a handy tool for finding data sets:
How is a designer supposed to make rational decisions about the meaning and features of a product, system or service which will take 2, 3 or even 4 years to develop ? Society might be greatly different by then ! There will always be room for creativity and personal vision, but with development costs spiralling out of […]
There is no standard way to prepare for your FYP, but before we meet I suggest that you:
– Decide on some technologies and reacquaint yourself with the language/IDE etc.
– Find some papers on topics close to your project (initially try Communications of the ACM CACM)
– Have a go a writing some aims and objectives for your project. Remember, your problem should be manageable.
– Attempt some design work – use cases, screen sketches.
You do not need to attempt all of these as your project will become clearer when we have our first meeting in late September.
Email if you are interested in any of these projects (with the project name in the email title):
Mobile collection of device effectiveness
Patient-device movement around the physical environment using GPS
Patient-device movement around the physical environment using RFID tags
Monitoring patients with home robots
Patient-device movement around the physical environment using NFC tags
Medical Device Data Simulator
Cloud storage of real-time medical device data
Real-time medical device data storage in a NOSQL document store
Real-time medical device data storage in a NOSQL graph store
Real-time medical device data storage in a NOSQL property-value/triple store
Synchronisation of data between mobile and cloud storage
Storage and querying of device data with semantic web (Web 3.0) technologies
Data security using mobile medical apps
Relational data hub: Cleaning and normalising medical device data
Predicating medical outcomes from Big Data
Medical dashboard for medical device tracking
Medical dashboard for patient pathways tracking
Medical dashboard data verbasizer for improved communication
Identifying past and future medical event from Big Data
Predicting patient behaviour from Big Data
Agent based simulation of medical device networks
Agent based simulation of patient outcomes