Pompeu Fabra University

This course offers a study of time series analysis with a view towards model-based predictions. It uses modeling and computational methodology applicable to a wide range of scientific fields, including engineering, environmental sciences, biochemistry, and natural language processing, but it focuses on applications for economics and finance, such as the extraction of stochastic business cycles and volatility prediction using daily and intraday high-frequency data.

Basic skills in statistics and computing with R are a prerequisite. Previous coursework in econometric analysis of linear time series is recommended.

This course focuses on scientific methods that marketers can use to obtain valid and reliable information on consumer behavior in order to both develop better products and services, as well as effectively promote them. It covers the fundamental issues of conducting scientific research in the area of customer behavior, including: factorial analysis; drawing perceptual maps; cluster analysis; discriminant analysis; joint analysis; in-depth interviews; group dynamics; commercial observation techniques.

This course offers a study of the laws and institutions that regulate European business activity. It examines the historical background of European integration, the issues encountered in EU expansion, and the cultural differences among the European countries. Other topics of study include: managerial and consumer behavior differences, cultural dimension theories of Hofstede and Hall, standardization and adaptation of the Common Market, cultural and linguistic barriers to standardization, the Central Bank of Europe and the Euro zone, and the future of Europe and the EU. Prior course work in business organization is advised.

This course offers a dynamic approach to the methodologies of thinking in images and visual essay.