1. To classify and determine the relative importance of predictors in grouping the respondents.
    2. To evaluate the essential attributes of products and services and differentiate them on the key perceptual dimensions
    3. To develop a model to forecast the sales and advertising expenditure to be allocated over a period of time.
    4. To understand the application of big data and simulation models to address distribution allocation problems

    CO1- The student will be able to evaluate the relative importance of predictors in grouping the respondents.
    CO2- The student will be able to evaluate the essential attributes of products and services and differentiate them on the key perceptual dimensions.
    CO3- The student will be able to develop a model to forecast the sales and advertising expenditure to be allocated over a period of time.
    CO4- The student will be able to apply the big data and simulation models to address distribution allocation problems
    CO5- The student will be able to explain demand forecasting and trending
    Catalogue Code: T2612
    Course Type: Generic Core Course
    Total Credit: 2
    Credits (Theory): 2
    No. of Hours: 30
    Internal Marks: 100
    External Marks : 40
    Total Marks: 100
    Experiential Learning: Yes
    Primary Purpose of Course: Skill Development
    Course Code: 212410203
    Floating Credit: No
    Audit Course: No
    Course Needs: Global