(74-337)
Course Objective
This course focuses on the application of quantitative techniques to
marketing problems and strategy.
Prerequisites
Business Data Analysis I (73-105)
Marketing Problems-Applications and Decisions (74-232)
Grading Criteria
| Assignments (10 x 2%) | = 20% |
| Mid-term exam | = 30% |
| Final exam | = 40% |
| Class Participation | = 10% |
Office Hours
- 10:00a.m. - 03:00p.m. Mondays and Wednesdays
- 03:00p.m. - 04:00p.m. Tuesdays and Thursdays
Detailed Topics
- 09/07 - Introduction to course. Bivariate regression
- 09/12 - Multivariate regression
- 09/14 - One-way Analysis of Variance
- 09/19 - Factorial designs.
Assignment #1 (p. 377, #3a, b, c)
- 09/21 - Factorial designs (cont'd)
- 09/26 - Two-group Discriminant analysis
- 09/28 - Multiple Discriminant analysis.
Assignment #2 (p. 415, #1a, b, c, d)
- 10/03 - Automatic Interaction Detection. Assignment #1 due
- 10/05 - Factor analysis. Assignment #2 due
- 10/10 - Cluster analysis.
Assignment #s 3 & 4 (in handout)
- 10/12 - Multidimensional scaling
- 10/17 - Multidimensional scaling (cont'd)
Assignment #5 (p 495, #1a, b, (c. from class data))
- 10/19 - Assignments 3 & 4 due
- 10/26 - Mid-term Exam
- 10/31 - Consumer behaviour models. Assignment 5 due
- 11/02 - Consumer behaviour models (cont'd).
Assignment #6 (p. 253, #7.3a, b; #7.5a, b)
- 11/07 - Market segmentation. Assignment 6 due
- 11/09 - Market segmentation (cont'd).
Assignment #7 (p. 316, #9.4a, (b. Estimate the expected
market share of each brand in the total market))
- 11/14 - Demand assessment and forecasting. Assignment 7 due
- 11/16 - Pricing models
- 11/21 - Distribution models. Assignment #8
Assignment #8 (p. 431, #12.3; p. 473, #13.7)
- 11/23 - Advertising decision models. Assignment 8 due
- 11/28 - Advertising decision models (cont'd).
Assignment #9 (p. 527, #14.8. See p. 159 for Linear
Programming)
- 11/30 - Sales models for new products. Assignment 9 due
Assignment 10 (p. 741, #19.4a, b, c)
- 12/05 - Sales models for new products (cont'd). Assignment 10 due
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