Data Science MSc
Human Computer Interaction Design and Evaluation (M) COMPSCI5057
- Academic Session: 2024-25
- School: School of Computing Science
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: No
- Collaborative Online International Learning: No
Short Description
An introduction to Human-Computer Interaction, covering the tools and techniques required for designing and evaluating interactive technologies, as well as selected research topics.
Timetable
TBC
Excluded Courses
None
Co-requisites
None
Assessment
Exam: 65%
Heuristic Evaluation: 10% (individual)
Redesign and Experiment: 10% (group)
Design Project: 15% (group)
Main Assessment In: April/May
Course Aims
The aim of this course is to both introduce students to the fundamentals of Human Computer Interaction (modelling, cognitive models, interaction paradigms, design rules, evaluation methods) as well to explore some selected advanced research topics.
Intended Learning Outcomes of Course
By the end of the course students will be able to:
1. Describe the key problems in designing effective interfaces, in relation to cognitive models, interactive technologies and usability;
2. Represent, reason about, and critique interaction designs;
3. Use formal, experimental and analytic techniques for evaluating interactive technologies;
4. Use creative design methods to come up with solutions to a problem.
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including class tests) of the course's summative assessment.