Course Objectives:
This course will enable the students to -
1. Acquire knowledge and understand application of forecasting techniques to determine market demands and acquire skills to make use of the forecast for design collections.
Course Outcomes (COs):
Courses |
Learning Outcome (at course level)
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Learning and teaching strategies |
Assessment Strategies
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Paper Code |
Course Title |
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DFSD 501B
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Fashion Trends and Forecasting (Theory)
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The Students will be able to: CO.1 Compare fashion and trend forecasting on the international platform CO.2 Assess the knowledge about the role and responsibility of the forecaster. CO.3 Create skills for the fashion forecasting research process. CO.4 the fashion forecasting trend at national and international level CO.5 Analyze sales forecasting analysis through data collection. CO.6 Relate with the concept of data mining for forecasting. |
Approach in teaching: Interactive Lectures, Discussion, Power Point Presentations, Informative videos
Learning activities for the students: Self-learning assignments, Effective questions, presentations, Field trips |
Assessment tasks will include Class Test on the topics, Semester end examinations, /Quiz, Student presentations, and assignments
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● Meaning of Fashion & Forecast
● Factors influencing forecasting: Royal influence, Celebrity, Professional and Social
● Evolution of Fashion Trend
● Trend Forecasting Schedule
● Types of Trend:
o Long Term Forecast
o Short Term Forecast
● Roles and responsibilities of :
o Forecaster
o Colour Specialists
o Materials, Yarn and Fabric Specialists
o Print and Surface Specialists
o Product designers
o Garment Technologists, Pattern Cutters and Production Managers
o Buyers and Merchandisers
o Retail Consumers and Youth Specialists
o Marketing and Press/Social Media
Forecasting agencies, companies and websites: Indian and International
● Primary and Secondary Research
● Methods of tracking ideas:
o Physical Tracking
o Digital Tracking
● Process of colour forecasting
o Sources for colour ideas and palettes
o Techniques of Trend analysis and synthesis
● Researching seasonal trends
o Print shows
o Fabric fairs and trade shows
o Trend Presentations
● Trend development and presentation
o Idea exploration
o Historical research and references
o Data collection and refining
o Types and techniques of presentation
● Methods of Sales Forecasting:
o Qualitative
o Quantitative
o Correlation
o Regression
● Blending of Qualitative and Quantitative techniques
● Data Mining
Suggested Text Books:
● Brannon E. L. (2015). Fashion Forecasting (Fourth Edition). New York: Fairchild Books.
● Holland, G. & Jones, R. (2017). Fashion Trend Forecasting. China: Laurence King publications.
● Kathryn, M. & Janine, M. (2008). Fashion Forecasting. Wiley-Blackwell.
Suggested Reference Books:
● Pundir, N. (2007). Fashion Technology-Today and Tomorrow. New Delhi: Mittal Publications.
● Perna, R. (1992). Fashion Forecasting. New York: Fairchild Books.
● Frings, Gini & Stephens (2008). Fashion Concept to Consumer (Third Edition). New Jersey: Prentice Hall International.