Application of computational techniques to support business activities, such as decision making, business understanding, data analysis, business process automation, learning from data, producing and using data- centric business models, ontology-based data access and integration, data quality assessment and cleaning and use of contextual data. Prerequisite(s): COMP 3005. Also offered at the graduate level, with different requirements, as COMP 5111, for which additional credit is precluded. Lectures three hours a week.
Application of computational techniques to support business activities, such as decision making, business understanding, data analysis, business process automation, learning from data, producing and using data- centric business models, ontology-based data access and integration, data quality assessment and cleaning and use of contextual data. Prerequisite(s): COMP 3005. Also offered at the graduate level, with different requirements, as COMP 5111, for which additional credit is precluded. Lectures three hours a week.
