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IS211

Interaction Design and Prototyping

1 CreditsTerm 1

Description

This course introduces fundamental human-computer interaction principles and techniques for designing usable interactive systems. Topics include common methods for gathering user requirements, basic UI and graphics programming techniques, and common evaluation techniques. Hands-on experience with UI prototyping tools will be provided and students will complete a UI design and prototyping project as part of this course.

Requisites

Prerequisites: None

Co-requisites: None

Anti-requisites: IS211/ COMM255 - Mutually Exclusive

Attributes

Department: SCIS

Course Level: Undergraduate

Tracks: N/A

Areas: Business Options Computing Studies Core Digital Business Electives Econ Major Rel/Econ Options IT Solution Development Core Information Systems Core (Intake 2018 and earlier) Information Systems Core (Intake 2019 to 2023) Innovation & Entrepreneurship Major Electives Smart-City Mgmt & Tech Core (Intake 2019 to 2021) Smart-City Mgmt & Tech Core (Intake 2022 onwards) Social Sciences/PLE Major-related Technology & Entrepreneurship

Learning Outcomes

1. Choose an appropriate observation strategy given a set of constraints. 2. Choose appropriate participants for observational studies or user studies. 3. Analyse users' existing work processes and identify breakdowns that indicate the need for a new interaction design. 4. Classify problems with conceptual models given a record of user behaviour. 5. Recall the key benefits and drawbacks of using metaphors in interaction design. 6. Choose an appropriate prototyping strategy given a set of constraints. 7. Create hand-drawn paper prototypes of an interaction design. 8. Choose an appropriate evaluation technique given a set of constraints. 9. Design an evaluation strategy for an interaction design project. 10. Evaluate a user interface design given a set of heuristics and propose solutions to any problems identified. 11. Choose between a within-subjects or a between-subjects experimental design given a set of constraints. 12. Classify possible experimental variables as independent, dependent, confounding, or non-variables. 13. Identify threats to internal and external validity in experimental design. 14. Perform a statistical analysis of quantitative experimental data.

Graduate Learning Outcomes

Disciplinary Knowledge, Innovation and enterprising skills, Communication, Intercultural understanding and sensitivity

Competencies

Design Thinking Practice, User Experience Design, User Interface Design, User Testing and Usability Testing, Customer Experience Management