Dr. Jian Zhao, Assistant Professor, School of Computer Science
Online, anytime, anywhere
Slack: for announcements, most questions, access to lecture videos, private team chat, etc. link
Zoom: for weekly team meetings, office hours, and student presentations. link
Course Email: firstname.lastname@example.org, for specific course-related questions for the instructors and TAs (if you do not want to ask on Slack). Please write the TA’s name in the subject if you want a specific TA to respond.
By appointment only, if other communication channels cannot satisfy your needs.
Human-Computer Interaction teaches the fundamental issues that underlie the creation and evaluation of usable and useful computational artifacts. Through lectures, assigned readings and design activities, students will work in teams of 4-5 to design a solution for a real-world problem. The end result of the project is a high fidelity interactive prototype of a mobile application, targeted at solving a particular real-world problem. Here is a list of this year’s project topics.
Specifically, you will learn to:
- Identify the primary luminaries relevant to Interactive Design and HCI
- Identify your target users, design studies to understand your users and their needs within a sociocultural context
- Create user data driven designs and prototypes of different levels of fidelity
- Design studies to evaluate design during different stages of development
- Properly gather and analyze qualitative and quantitative data from exploratory user studies including data from: in-situ observations, semi-structured interviews, paper prototype evaluation, heuristic evaluations and cognitive walkthrough.
- Discover the range of HCI research methodologies
- Add a high quality design of an interesting product to your portfolio
There is no midterm or final exam for this course. There is also no programming involved. This is a highly-interactive course, and thus your active involvement is important. For more details, please see the course information (for marking schemes and graded components) and course schedule (for readings, activities, assignments, and project deadlines).
All deliverables need to be submitted by 08:59 pm ET on the due date. Late work will be deducted 5% of the total marks per calendar day late (9:00 pm to 8:59 pm ET). The instructor reserves the right to accept late work or not. Students must inform the instructor if they have to miss a deadline for special situations such as academic travels, illness, and emergencies.
If a deliverable was not submitted before the next deliverable due date, you will get 0% for this deliverable. Furthermore, you are not allowed to submit the next deliverable if the previous deliverable was not submitted. Failing to submit all the deliverables by the end of the term may result in failing the course.
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