Information Systems for Business Intelligence

Catalog description

Provides an introduction to using Decision Support Systems for business intelligence. Data management, data warehouses and data marts that support reporting and online analytic processing are studied. The use of key performance indicators, dashboards and scorecards for performance management and opportunity assessment are addressed. Text and web mining are discussed, and the applications of selected machine learning techniques, such as decision trees, genetic algorithm and neural network, are illustrated. Students actively participate in the delivery of this course through lab projects, case studies, and project presentations. Enrollment Restrictions: Enrollment restricted to students who have completed all lower-division pre-business core (major status in Business Administration - i.e. attained business status). Prerequisite(s): MIS 302 or MIS 304 with a grade of C (2.0) or better.