COMP H4231 - Emergent Human Computer Interaction

Module Title:Emergent Human Computer Interaction
Language of Instruction:English
Credits: 10
NFQ Level:8
Module Delivered In No Programmes
Teaching & Learning Strategies: Learners will develop knowledge, understanding and practical skills primarily through labs and workshops with supporting lectures where appropriate. Delivery of technical content will promote discovery learning, where hands-on practical workshops will be utilised to enable learners to apply knowledge and skills, supported by an instructor led, peer learning environment
Module Aim: The primary aim of this module is to enable the learner to advance their knowledge in an array of tools and applications that are available to UX/UI designers within the sphere of computing and digital media design
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Critically appraise a range of emerging and industry standard UX/UI tools and applications
LO2 Evaluate and implement appropriate data visualisation in a given domain (e.g. Games/Healthcare/Financial/IoT)
LO3 Determine and justify the most appropriate tool or application to use in a given context
LO4 Summarise and critically reflect on emerging tools and techniques within UX for virtual, augmented and mixed reality
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed
 

Module Content & Assessment

Indicative Content
UX/UI and Prototyping
Application of industry standard tools and emerging applications for prototyping. Evaluations of prototyping tools for UX/UI design
Workflow and Storyboarding
Application of support and design tools to aid workflow and storyboarding. Creative tools platforms, use of mind maps, graph software and support tools for interactive fiction
Tools and Plugins
Use of tools/plugins to incorporate separate modules into a single project. Utility tools that run across all applications in your pipeline or building bespoke tools
Data Visualisation Theory
Why use data visualisation, presenting data visually to users and stakeholders to aid the design process and to inform the user experience. Static and interactive data visualisation
Data Visualisation in Practice
Tools for data visualisation in a range of contexts (gaming, mobile, IoT, financial, healthcare). Telling stories with data, data driven prototyping
Cutting Edge UX
Explore topics in relation UX such as AI, augmented/virtual/mixed reality, IoT, machine learning, gamification, pervasive computing, voice interfaces and wearable technology
Accessibility
Incorporate assistive technology, smart technology and universal design in a creative fashion to enable accessibility for all.
Assessment Breakdown%
Project100.00%
No Continuous Assessment
Project
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project Delivery of a cumulative project which displays the learners ability to research, utilise and successfully incorporate UX/UI tools/apps and plugins into a single project. The project includes a series of weighted milestones where identified components must be implemented in a meaningful fashion. The project can be standalone or incorporate and build on material from other modules. 1,2,3,4 100.00 n/a
No Practical
No End of Module Formal Examination
No Continuous Assessment
Project
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project n/a 1,2,3,4 100.00 n/a
No Practical
No End of Module Formal Examination

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Laboratory Every Week 2.00
Tutorial Every Week 1.00
Lecture Every Week 1.00
Total Hours 4.00
 
Discussion Note: TEST