MIS 462: Data Mining for Business Intelligence will be offered in the fall on Tuesdays from 7:20-10:00pm. The prerequisites for this course are MIS 301, OM 210, OM 301, admission to the School of Management, and an overall GPA of at least 3.0.
A description of MIS 462 is as follows:
Computerworld recently ranked “Analyzing Data” as the number one indispensable IT skill of the future, and noted that: “Demand will be high for IT workers with the ability to not only analyze dizzying amounts of data, but also work with business units to define what data is needed and where to get it.” Data mining—the art of extracting useful information from large amounts of data—is of growing importance in today’s world. The amount of data flowing from, to, and through enterprises of all sorts is enormous, and growing rapidly—more rapidly than the capabilities of organizations to use it.
Successful enterprises are those that make effective use of the abundance of data to which they have access: to make better predictions, better decisions, and better strategies. Successful managers now need to know about the possibilities and limitations of data mining.
This course will provide an introduction to data mining problems and tools to enhance managerial decision making. We will learn how to ask the right questions and how to draw inferences from the data by using the appropriate data mining tools. The goal is to be able to decide when to use which technique.
All students interested in enrolling for this course must express their interest to the instructor Pallab Sanyal, via email (firstname.lastname@example.org) with the following information:
- Student Name
- Student G#
- Overall GPA
The instructor will forward the list of selected students (maximum 20) to the Undergraduate Advising Office for an override. Students with the override will then be able to enroll in the course via PatriotWeb.