ATM 340 - Fashion Trend Analysis

Description:
Fashion forecasting principles and applications, including research, analysis, and creation/development of fashion forecasts. Applying technology in the trend forecasting process, and examining trend acceptance or rejection through analysis of socio-economic, demographic, media, and fashion influences.

Prerequisites:
Prerequisite: ATM 301.

Credits: (4) Contact Hours: 4

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Apply techniques and skills needed to research, report and analyze fashion trends.
Examine the economic, cultural and social changes that influence fashion forecasting.
Relate fashion and its influence on past, present and future lifestyles.
Predict and compose a seasonal forecast for a specific target market.
Evaluate the ethical implications of using AI in fashion forecasting, including data privacy, algorithmic bias, and potential inaccuracies, to develop responsible and inclusive forecasting strategies.
Refine and expand communication, writing, and presentation skills essential to success in the fashion industry.
Prepare professional quality work using industry technology.

Learner Outcomes Approval Date:
4/3/25

Anticipated Course Offering Terms and Locations:
Spring Locations: Ellensburg