Skip to main content

Adaptive User Interfaces COMP 8522

Computer Systems Course

International Fees

International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.

Course details

​In this course students will learn advanced techniques aimed to design user interaction. This course introduces the students to adaptive interfaces that provide individualized support and incorporate intelligent agents. Applying heuristics and principles of Human-Computer Interaction (HCI), probabilistic models and machine learning algorithms, students will learn how to design, implement and test adaptive software applications.

Prerequisite(s)

Credits

3.0

Not offered this term
This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Define adaptive, adaptable and hybrid interfaces.
  • Describe the decision-making tasks that are included in the application's interface.
  • Identify how adaptive interfaces can be used in assistive technologies.
  • Describe user models and intelligent interface agents.
  • Identify the principles of AI driven UX.
  • Analyze and identify user models, user support, socio-organizational issues, and stakeholder requirements of HCI systems.
  • Describe various models for combining human and machine intelligence to solve computational problems.
  • Identify users' beliefs, intentions and goals for an existing system.
  • Design decision models used in user modeling which incorporate users' beliefs, intentions and goals.
  • Apply probabilistic models (e.g., the Bayesian theorem) for computing the likelihood of a certain event to happen.
  • Discuss the differences between machine learning and predictive modeling.
  • Discuss machine learning algorithms used for prediction.
  • Apply machine learning algorithms for design of user models and intelligent interface agents.
  • In preparation for the Major Project, propose and draft the design of an application that includes (a) user models based on the characteristics of users and tasks and (b) intelligent interface agents that can predict the user's future actions based on the current state of the system, the user's profile, and previous actions and beliefs.

Effective as of Fall 2020

Related Programs

Adaptive User Interfaces (COMP 8522) is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Computer Science (Database Option)
    Bachelor of Science Part-time
  2. Applied Computer Science (Human Computer Interface Option)
    Bachelor of Science Part-time
  3. Applied Computer Science (Network Security Administration Option)
    Bachelor of Science Part-time
  4. Applied Computer Science (Wireless and Mobile Applications Development Option)
    Bachelor of Science Part-time

Subscribe

Interested in being notified about future offerings of Adaptive User Interfaces (COMP 8522)? If so, fill out the information below and we'll notify you by email when courses for each new term are displayed here.

  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.