Fall 2020 - IAT 351 D100

Advanced Human-Computer Interaction (3)

Class Number: 7827

Delivery Method: In Person


  • Course Times + Location:

    Mo 12:30 PM – 2:20 PM

  • Prerequisites:

    Completion of 48 units, including IAT 201 and IAT 265. Strongly recommended: IAT 267.



Students will learn about and gain experience with a wide variety of interaction technologies, environments and architectures supporting user interaction with systems in work, learning and play. Applied topics may include, but are not limited to, collaboration and computers; ubiquitous and responsive environments; security, trust and privacy; networking; and distributed and heterogeneous interfaces. Emphasis is on practical experience, involving a group design/analysis project in advanced topics in human computer interaction.


This course builds on IAT 201 Cognition and HCI to support the integration of cognitive principles of human-computer interaction in software project work for a range of applications, users, and situations of use.

Lectures will focus on advanced HCI concepts and user testing methods,  evaluated in periodic design activities and writetups as well as the final course project. 


Learning outcomes expected for students include:

• Build a greater understanding of HCI principles and methods
• Learn to operationalized these in the implementation of a design project


  • Assignments 40%
  • Quizzes 40%
  • Final Course Project 20%


Readings are required, and will be drawn from online sources

Assignments – Details on the requirements for successfully completing the assignments will be given in the assignment on Canvas.  The assignment is due by the workshop on the announced due date.  The grade for a late assignment will be marked down 25% for each day it is late.

Quizzes will be based on assigned readings, lectures and homework.

Project – Students will be expected to complete a multi-part project during the second half of the course.  The project consists of four separate milestones, including a project definition phase, architecture design, implementation and video demo.



Required readings in this course will be drawn from current practice and research in the field on an ongoing basis.

The human-computer interaction handbook fundamentals, evolving technologies, and emerging applications / edited by Julie A. Jacko. (ebook)

HCI Models, Theories, and Frameworks. Toward a Multidisciplinary Science
Editor: John Carroll
ISBN: 9780080491417

Registrar Notes:


SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html


Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).