Last modified: 28 Jun 2018 10:27
"Adaptation"
in Computing Science refers to the process by which systems modify their
behaviour based on the user and environment. At the core of this course is a
collection of influential representations and algorithms for modelling users
and the environment to enable adaptation. The course will cover algorithms for
Recommender Systems, used to personalise product recommendations, and for
Personalised Information Retrieval, used to deliver search results personalised
for users and their context. The course will also cover current and future
ideas for adaptive systems, such as Ambient Intelligence, where similar
techniques are integrated into the real world using sensor networks.
Study Type | Postgraduate | Level | 5 |
---|---|---|---|
Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | None. | Sustained Study | No |
Co-ordinators |
|
Information on contact teaching time is available from the course guide.
1 two-hour written examination (75%), and continuous assessment (25%).
There are no assessments for this course.
We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.