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COMP 8522 - Adaptive User Interfaces

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

BCIT is planning for a substantial return to on-campus activity for the fall 2021 term as informed by BC Public Health Officer guidelines. Refer to each course listing for details.

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)

COMP 8022

Credits

3.0

This course isn't currently offered through BCIT Part-time Studies. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

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

COMP 8522 is offered as a part of the following programs:

School of Computing and Academic Studies

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

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