FASHION 118Cheri Lawell

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:

1. Analyze behavior trends in business, politics, and the economy as they relate to consumerism.
2. 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.
3. 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.
4. 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