Course Title: Fashion Forecasting and Analytics

Part A: Course Overview

Course Title: Fashion Forecasting and Analytics

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities. 

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT: https://policies.rmit.edu.au/document/view.php?id=209. 

Please read the Student website for additional requirements of in-person attendance: https://www.rmit.edu.au/covid/coming-to-campus.

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance.


Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

GRAP2388

Brunswick Campus

Postgraduate

350H Fashion & Textiles

Face-to-Face

Sem 1 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2013,
Sem 2 2013,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016,
Sem 2 2016,
Sem 1 2017,
Sem 2 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021,
Sem 1 2022

Course Coordinator: Luise Adams

Course Coordinator Phone: +61 3 9925 9148

Course Coordinator Email: luise.adams@rmit.edu.au

Course Coordinator Location: By email

Course Coordinator Availability: By appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

In this course you will develop and apply your skills and knowledge of theoretical methods and practical applications of trend forecasting to research and analyse trends that influence fashion and textiles products for the industry and end consumers.

You will investigate the specialised study and knowledge based application of micro environments, global, social and cultural issues and their impact on consumer behaviour.

You will incorporate strategic decision making in recognizing the patterns, cycles and dissemination of information.

Your investigation will determine a framework to specifically apply creative and analytical skills in the trend forecasting process.


Objectives/Learning Outcomes/Capability Development

Upon successful completion of the course you will be able to:

CLO 1: Investigate emergent global issues and adapt strategic responses that influence trends and patterns within the fashion and textiles industry.

CLO 2: Determine research methodologies to capture and analyse data to forecast fashion and textile future trends.

CLO 3: Communicate propositions, processes and outcomes to the fashion industry and a wider global audience.



As this is a program option course, only Course Learning Outcomes are applicable. 


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 promote your ability to enquire, investigate, analyse and solve fashion entrepreneurship problems.  



 


Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through our online systems.

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’s learning outcomes. The details of assessments will be given to you at the start of the course. Information about performance standards required for each assessment task are detailed in the assignment area of Canvas. All assessments are assessed individually.  

Assessment Tasks: 

Assessment Task 1: Trend Data Capture (30%) CLO: 2 

Assessment Task 2: Trend Data Analysis (30%) CLO: 1 

Assessment Task 3: Final Trend Report & Poster (40%) CLOs: 1 & 3 

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.