Undergraduate Course: User Modelling (Level 10) (INFR10027)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Available to all students
|Credit level (Normal year taken)||SCQF Level 10 (Year 4 Undergraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||User modelling studies tools and techniques for constructing interactive computer systems that can be adapted, or can adapt themselves, to the skills, knowledge and needs of their users. It draws on Human-Computer Interaction (particularly intelligent interfaces and cognitive engineering), Artificial Intelligence (particularly knowledge-based systems), the Instructional Sciences (particularly computer-based tutoring systems), Linguistics (particularly dialogue models), and Information Retrieval.
Information for Visiting Students
|Displayed in Visiting Students Prospectus?||No
Course Delivery Information
|Not being delivered|
Summary of Intended Learning Outcomes
|1 - Demonstrate, in writing, knowledge of the issues and problems in user modelling;
2 - demonstrate understanding of modelling techniques by diagnosing problems in relations between users---particularly students---and adaptive systems;
3 - use design principles and methodologies in solving simple user modelling problems;
4 - demonstrate awareness of current areas of research by locating and summarising examples of recent progress.
|Written Examination 70|
Assessed Assignments 30
Oral Presentations 0
A group-based exercise involving the re-design and evaluation of a user modelling component.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year.
||* Architectures for personalisation
* Capturing user information: active vs passive techniques
* Processing user information: machine learning and inference
* Evaluation of user modelling
* Security, privacy, scrutability, interoperability
* Social and collaborative filtering
* Student modelling
* Cognitive models for learning systems
* Affective models for learning systems
Relevant QAA Computing Curriculum Sections: Artificial Intelligence, Human-Computer Interaction (HCI), Intelligent Information Systems Technologies
||* No one textbook is recommended for this course.
* A set of readings is made available at the beginning of semester.
|Course organiser||Dr Amos Storkey
Tel: (0131 6)51 1208
|Course secretary||Miss Kate Weston
Tel: (0131 6)50 2701