Seminar-MKT PhD (MKT 972), Spring 2017.
This course is for PhD students in marketing and related quantitative fields. It surveys quantitative research in the field of marketing. The primary goal is enhance student awareness of different ways in which statistical modeling has become relevant to marketing, the different types of models that are popular in the field, trace the evolution of the statistical models over the years and our current challenges. The students will get an opportunity to read published papers, critique them, learn how to identify a research question, and begin to answer it using empirical methods.
Marketing Analytics (MKT 815), Spring 2018.
n this course we will study the impact of analytics on successful marketing decisions. The course covers a spectrum of topics that include Marketing Metrics,Digital Analytics,Marketing Response Models,Segmentation,Product Design,Experimentation and B
Quantitative Models in Marketing (MKT 815), Spring 2015.
Analysis and interpretation of scanner-based purchase data to present recommendations to managers. Become familiar with the design of syndicated databases, their uses, and their weaknesses. Translate managerial questions into research questions that are a
Marketing Research (MKT 710), Fall 2011.
An overview of the marketing research process from a methodological perspective. Topics: Research design, data collection procedures, sampling and data analysis.