SYLLABUS
FASHION 118Cheri Lawell
Trend ForecastingSpring 2009
Fashion Forecasting 9-12:35 F
Evelyn L. Brannon
Course Schedule: This course studies the techniques and procedures for identifying and forecasting fashion trends and evaluates current trends found in lifestyles, business, ready-to-wear, and home fashion. Students will learn to recognize and analyze predictive lifestyle and business trends that affect retail merchandising and marketing decisions. Transfer credit: CSU 1.5 units
WEEK / DATETOPIC
1 April 6Introduction / Course Requirements
Components of a Trend
Overview of Clicking trends
Trend Chasers
2 13 Discuss student examples (trend homework)
What's the point? Do products connect to trends?
Emerging trends—mine and yours
Introduce 1st project - Group
3 20Workshop
Student Presentations
Introduce Shopper Groups
4 27Introduce 2nd Project - Group
Retail Field Trip to identify Shopper Groups
5 May 4Fashion Forecast
Project Review
Computer Lab
6 March 11Computer Lab: Internet access to forecasting information
Student Workshop: Group Projects
7 18Workshop
FINAL Project Presentations
8 25HOLIDAY
Trend Forecasting
FASH 118
POINT SCALE – GRADES POSTED ON MyOCC/BLACKBOARD VISTA
Homework:3 Trends @ 10 points each30
Computer Lab:2 assignments @ 25 points each50
1st Project:Oral25
Written75
2nd Project:Oral25
Visual75
*Classwork:T.B.A. (50 – 100 pts.)50
330
* Students must be present to receive credit for classwork.
STUDENT LEARNING OUTCOMES:
The studentswill be able to:
- Analyze behavior trends in business, politics, and the economy as they relate to consumerism.
- Compare and contrast current trends in clothing, accessories, hairstyles, makeup and adornment found in local target markets. Produce a presentation board illustrating current trends from a specific location.
- Create a forecast of a specific clothing classification in a retail venue using predictive websites, publications, and information from guest speakers to provide color, fabrication, silhouette, and detail predictions that are one year ahead.
- Identify, analyze, and evaluate current and predictive ready-to-wear (RTW) garment trends by quality and structure.
General Rules1. Please come prepared and on time.
2. Please treat this class as you would a job. If you are ill or if you will be late to class, call in sick (or late) and leave a message in my voice mailbox: 714.432.5841 ext. 3
3. No cell phones or electronic devices allowed.
4. LATE WORK ACCEPTED @ 50% CREDIT or with PRIOR
Instructor approval.
5. Academic honesty policy enforced.
6. Two absences will lower semester grade by one letter grade.
Office HoursHome Ec 102
M 12;00 –1;00
W 11:00 – 12;00
TH 4:00 – 6:00
Or by appointment
Phone:714.432.5841 ext. 3
Email Address
Website