Fashion Trends & Forecasting Practical (Practical)

Paper Code: 
24DFSD502B
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to understand research trends and data to effectively communicate forecasts. Enhance analytical skills for predicting fashion trends.

 

Course Outcomes: 

Courses

Course outcomes

(at course level)

Learning and teaching strategies

Assessment Strategies

 

 

COURSE CODE

Course Title

 

24DFSD502B

 

 

 

Fashion Trends & Forecasting Practical     (Practical)

 

 

CO.202 Conclude the topic with a visual presentation based on the fashion trends and forecasting.

CO.203 Compile comprehensive practical record and submission related various fashion trends & forecasting

CO.204 Cultivate verbal communication skills to converse effectively with examiners.

CO.205 Contribute effectively course-specific interaction

Approach in teaching:

Demonstrations, Interactive Lectures, Discussion, Informative videos

 

Learning activities for the students:

Self-learning assignments, Design sheet creation and product developments

Assessment tasks will include Class Test, Semester end examinations, and Student presentations.

 

 

CONTENTS

 

  • Reporting a case study of any one national and international Forecast Agencies                                                                                                          

(10Hours)

 
  • Study a particular Style /Design (Classic) (National) and its progression  

(14Hours)

 
  • Study a FAD and its reasons for downfall                  

(06Hours)

 
  • Identify styles that never got accepted & reasons for rejection                               

(04Hours)

 
  • Design forecast boards for colour, print, texture and style. Design a range of outfit using upcoming forecast.

 

(26Hours)

 

Essential Readings: 

 Essential Readings:

  1. Brannon E. L. (2015). Fashion Forecasting (Fourth Edition). New York: Fairchild Books.
  2. Holland, G. & Jones, R. (2017). Fashion Trend Forecasting. China: Laurence King publications.
  3. Kathryn, M.  & Janine, M. (2008). Fashion Forecasting. Wiley-Blackwell.

Suggested Readings:

  1. Pundir, N. (2007). Fashion Technology-Today and Tomorrow. New Delhi: Mittal Publications.
  2. Perna, R. (1992). Fashion Forecasting. New York: Fairchild Books.

 

References: 

E-Resources:

  1. http://www.mahttpssterclass.com/articles/fashion-trend-forecasting-guide...
  2. https://www.heuritech.com/trend-forecasting-fashion-ai/#:~:text=The%20mo....
  3. https://www.wgsn.com/en/products/fashion
  4. https://thetechfashionista.com/fashion-trend-forecasting-websites-and-ag...

Examination Scheme

Continuous Assessment

Semester End Exam

Component

Marks

Component

Marks

Portfolio

20

Portfolio

30

Attendance

05

Presentation

25

Test

05

Viva Voce

15

Total

30

Total

70

 

Academic Year: 
2024-25
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