Real-life decision making often requires building interactive systems, which students must know how to design and implement. To summarize, students and practitioners must learn sufficient information technology (IT) skills so that they can build intelligent information systems, alternatively, called decision support systems, which can run sophisticated models at the back-end, but are friendly enough at the front end to be used comfortably by any user.
A decision support system (DSS) gives its users access to a variety of data sources, modeling techniques, and stored domain knowledge via an easy to use graphical user interface (GUI). For example, a DSS can use the data residing in spreadsheets or databases, prepare a mathematical model using this data, solve or analyze this model using problem-specific methodologies, and can assist the user in the decision-making process through a graphical user interface. Students and practitioners are frequently being employed in positions that require developing DSS which are gaining widespread popularity. As more and more companies install enterprise resource planning (ERP) packages and invest in building data warehouses, those who are able to create decision technology driven applications that interface with these systems and analyze the data they provide will become increasingly valuable. Indeed, imparting DSS development skills, which combine Operations Research/business skills with IT skills, will make students and practitioners highly sought after in the modern workplace. CEUs 2.7
Prerequisite: Familiar with a Windows Operating System.
13WE2000 - Jan 12 - Mar 9, 2013 (Sa 1:00PM - 4:00PM)