Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours
College: Graduate and Postdoc Studies
Department: Computer Science
Research issues in adaptive systems are examined, including: user modelling, cognitive diagnosis, data mining, representations of context and affect, personal agents, collaborative filtering, group modelling, scrutability, and privacy. Issues will be explored in the context of applications such as e-learning, e-commerce, adaptive hypermedia, information systems, and recommender systems.
Prerequisite(s): CMPT 812 or permission of the instructor.
Upcoming class offerings
The syllabus is a public document that provides detail about a class, such as the schedule of activities, learning outcomes, and weighting of assignments and examinations.
Once an instructor has made their syllabus publicly available on USask’s Learning Management System, it will appear below. Please note that the examples provided below do not represent a complete set of current or previous syllabus material. Rather, they are presented solely for the purpose of indicating what may be required for a given class. Unless otherwise specifically stated on the content, the copyright for all materials in each course belongs to the instructor whose name is associated with that course. The syllabus is the intellectual property of instructors or the university.