INFS6010-A Decision Support Sys Anly/Dsgn (Fall 2012)
About The Instructor
Section will be taught totally online with no scheduled class meetings. Students must arrange for daily access to a computer and the Internet prior to the start of classes. Robert Morris labs are to be used only as a backup in special situations and may not be relied upon for extended periods of time. In addition to the Internet link, online classes have a large emphasis on email. All messages from the instructor and other information regarding online classes, including user ids, passwords, and login instructions will be sent to your Robert Morris University email account.
Visit http://rmu.blackboard.com/ for more information.
Session, Dates: 2 (08/25/2012 - 10/19/2012)
Seats Available: 9 Seats
The following additional fees apply to this section:
Fully Online Fee
This course presents the concept of decision making within the framework of a contextualized (organizational or corporate) management information system that utilizes databases and/or spreadsheets as tools in the decision-making process. The course distinguishes between two logical components of a management information system: the structured decision system which lends itself to providing actual computer-generated decisions, and decision support systems, in which computer-based systems aid decision makers in confronting problems through direct interaction with data and analytic models. Some of the topics covered include the definition and components of decision support systems, decision-making and problem-solving situations, decision and problem types, the relationship of managing and decision making, problem-solving models and decision-making procedures, information requirements analysis and modeling, group decision-making processes and models, organizational issues of decision making, political and ethical issues of decision making, information modeling, information design issues, cultural dimensions of decision making, decision-making styles, cognitive and emotional styles influencing decision making, and decision-making techniques and model construction such as goal seeking, "What If" scenarios, sensitivity analysis, time series models, and graphic displays.