Advanced statistical analysis with applications in business and economics utilizing relevant computer software. Topics include business applications in descriptive and inferential statistics emphasizing such topics as simple and multiple regression, analysis of variance, forecasting, quality control, and nonparametric techniques.

Survey of transaction processing systems, management information systems, and decision support systems. Introduction of systems analysis concepts, and methodologies for information system design and development.

This course provides students with advanced knowledge and skills in the application of spreadsheet software to support information management, decision making, and problem-solving in business. Emphasis is placed on understanding various decision models and applying spreadsheet software to model building, data analysis, decision support, and custom application development.

Data that has relevance for managerial decision making and revenue management is accumulating at an unprecedented rate due to a host of technological advances. Electronic data capture has become cheap and ubiquitous as the Internet, mobile devices, point-of-sale technology and database has evolved. Data mining is a rapidly growing field that has evolved from the disciplines of statistics and artificial intelligence, which focuses on the techniques and skill-sets required to make intelligent use of this accumulating data.

This course will examine methods that have emerged from the data mining field and proven to have value in the areas of forecasting, classification, and association. In doing so, this class provides the opportunity to gain hands-on experience and skill-building with algorithms and technology tools for data mining.

The overarching goal of this course is to provide a foundational understanding of the data mining process, as well as the strengths and limitations of several popular data mining techniques that are used in general. In addition, this course seeks to provide skills in advanced data analysis using computer tools.

Advanced statistical analysis with applications in business and economics utilizing relevant computer software. Topics include business applications in descriptive and inferential statistics emphasizing such topics as simple and multiple regression, analysis of variance, forecasting, quality control, and nonparametric techniques.