Part A: Course Overview
Course Title: Fashion AI
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COSC2785 |
Brunswick Campus |
Undergraduate |
350H Fashion & Textiles |
Face-to-Face |
Sem 2 2022, Sem 2 2023, Sem 1 2024, Sem 2 2024, Sem 1 2025 |
Course Coordinator: Dr Rebecca Van Amber
Course Coordinator Phone: +61 3992 59157
Course Coordinator Email: rebecca.vanamber@rmit.edu.au
Course Coordinator Location: B513 F01 R003
Course Coordinator Availability: By appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
None.
Course Description
Innovating Sustainable Fashion through Advanced Technologies
This course introduces the transformative potential of Artificial Intelligence (AI), Machine Learning, the Internet of Things (IoT), and Augmented and Virtual Reality (AR/VR) in the world of fashion and wearables. Students will explore how these cutting-edge technologies are reshaping the production, consumption, and overall experience of clothing.
Focusing on sustainable innovation, the course emphasises the application of AI to address pressing business and sustainability challenges. Students will develop a portfolio of projects that showcase AI-driven solutions to real-world problems, highlighting the role of technology in fostering sustainable practices within the fashion industry.
By integrating strategic tools, creativity, and critical thinking, the course equips students to collaborate effectively with intelligent technologies. This comprehensive approach ensures graduates are not only proficient in AI but also possess the essential human skills needed to navigate the demands of both the industry and the planet.
Objectives/Learning Outcomes/Capability Development
As this is a program option course, only Course Learning Outcomes are applicable.
Course Learning Outcomes
Upon successful completion of this course, you will be able to:
CLO 1: Identify and discuss key developments and opportunities for using AI across the fashion industry.
CLO 2: Examine ethical considerations, potential for industry disruption and current limitations of AI technology for fashion.
CLO 3: Develop strategies for applying AI and related technologies to diverse fashion contexts.
Overview of Learning Activities
Your learning will be facilitated via a range of in-class and online activities that will require both individual and collaborative engagement. Class activities will promote your ability to propose, investigate, plan, analyse, and realise sustainable innovative fashion and textile solutions.
Overview of Learning Resources
RMIT will provide you with resources and tools for learning in this course through our online systems.
A list of recommended learning resources will be provided by your lecturer, including books, journal articles and web resources. You will also be expected to seek further resources relevant to the focus of your own learning.
RMIT Library provides extensive resources for fashion and textiles students.
Search the library and consult the Fashion and Textiles Subject Guides for more information.
The library also provides guides on academic referencing and assistance is available via phone, chat and email.
Overview of Assessment
You will be assessed on how well you meet the course learning outcomes and on your development against the program learning outcomes.
Assessment tasks are directly aligned with each Course Learning Outcome. They are as follows:
Assessment Task 1: Storyboarding a responsible Fashion AI concept (20%)
CLO: 1 & 2
Assessment Task 2: Speculative Pitch (30%)
CLOs: 3
Assessment Task 3: Fashion AI Portfolio (50%)
CLOs: 1 & 2
Feedback will be given on all assessment tasks.
If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.
Your course assessment conforms to RMIT assessment principles, regulations, policies, procedures and instructions.