SYLLABUS
FASHION 118
Trend Forecasting
Cheri Lawell
SPRING 2014
M 9:00-12:10; 1:00-4:10
The Ultimate Fashion Study Guide –
The Design Process
Victoria Hunter
Course Schedule: This course studies the techniques and procedures for identifying and
forecasting fashion trends and evaluates current trends found in lifestyles, business, readyto-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
3.0 units
WEEK / DATE
TOPIC
1 January
27
Introduction / Course Requirements
Book overview
Definitions / examples of trends and trend forecasting
2 February
3
Clicking trends
Trendspotting – multiple trends converge
Assignment
3
10
Discuss student examples (trend homework)
Emerging trend “It’s All about Me”
4
17
HOLIDAY
5
24
Computer Lab: colors, silhouettes, trends NOW
Introduce 1st project – Group
Introduction to Quality Comparison
Assignment: Bring two garments next week for Quality Comparison
6 March
3
Activity: Quality Comparison Worksheet
Introduction to fashion blogs
Computer Lab assignment
Project Review
Assignment: Bring photos, boards, etc., for project workshop
7
8
10
17
Garment structure
Identify current trends using proper terminology
Project Workshop: Group Project
MIDTERM Project Presentations
Trend Forecasting
FASH 118
WEEK / DATE
TOPIC
25 points
March
9
24
SPRING BREAK
31
Return Projects
Overview of 2nd project
Shopper Groups lecture and handout
Assignment: Retail Field Trip to identify Shopper Groups
25 points
7
Introduce 2nd Project
Project examples and text template
Begin website and foreign periodical research
Assignment: Describe one predictive silhouette with proper terminology
next class
11
14
Describe predictive trends using proper terminology of garment structure
Computer Lab: Internet access to forecasting information
Student Workshop: Group Projects
12
21
Activity: Garment Structure Worksheet
25 points
Computer Lab: Internet access to forecasting information
Example of tracing a silhouette
Instructor approves one silhouette by end of period
13
28
Guest speaker
Website and foreign periodical research
Instructor meets with each group
5
Create board layout; cut fabric swatches
Discuss parameters of written project
Practice Project
10 April
14 May
15
12
FINAL Project Presentations
16
19
Final analysis– 25 points
Projects returned; grades given
Trend Forecasting
FASH 118
POINT SCALE – GRADES POSTED ON MyOCC/BLACKBOARD
Homework:
3 Trends @ 10 points each
30
Computer Lab:
2 assignments @ 25 points each
50
25 points
Quality Worksheet:
Garment Structure:
1st Project:
2nd Project:
*Classwork:
Final Analysis
1 assignment @ 25 points
1 assignment @ 25 points
Trendspotting
Fashion Forecast
T.B.A. (25 - 50 pts.)
25
25
100
100
50
25
405
* Students must be present to receive credit for classwork.
STUDENT LEARNING OUTCOMES:
The students will 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 Rules
1. 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. Cell phones OFF and put away. NO TEXTING.
4. LATE WORK ACCEPTED @ 50% CREDIT or with PRIOR
Instructor approval. Two-week time limit.
5. Academic honesty policy enforced.
6. Three absences will lower semester grade by one letter grade.
7. It is YOUR responsibility to drop this class in a timely manner.
Office Hours
CS&D building C – 203A
M
4:00 – 5:00
W
12:00 – 2:00
TH
4:00 – 5:00
Phone:
Email Address
Website
Or by appointment
714.432.5841 ext. 3
clawell@occ.cccd.edu
http://occonline.occ.cccd.edu/online/clawell/