June 26, 2011
June 26, 2011
June 29, 2011
Cooperative & Experiential Education
22.1113.1 - 22.1113.15
Oakland University/Altair Engineering Technical Business Intelligence Corporate Internship ProgramOrganizations invest significant portions of their information technology budget to capture, store,and analyze data. The return on these investments will depend on how effectively organizationsanalyze the data and use it to support technical product development and managerial decisionmaking. Business intelligence (BI) or business analytics are common terms used to describe theprocess of building models to support decision making. This paper describes the structure andimplementation of a course to give students a conceptual understanding of various modelingtechniques with a focus on the application to technical decision making and solutions to businessproblems.The program itself is a 160-hour post-baccalaureate non-credit certificate comprised of a two-tiered course structure. Tier I of the course provides the students with a 60-hour theory overviewof data mining and data-basing techniques. The application of software tools in decision makingas well as detailed case studies demonstrating how BI can be used effectively in today’scompetitive product development and business environment. This includes the application ofAltair Engineering Business Intelligence HiQube software using specific case studies involvingapplications in the product development, quality, warranty, and financial business environments.Tier II is comprised of a 100-hour, unpaid internship whereby students demonstrate theirknowledge in practice at an Altair Business-host site. Students who satisfactorily complete theTier I portion of the course proceed with the Tier II Internship. The Internship may be at a localsponsoring company within the Detroit, Michigan area, a distance company within the US, or adistance company internationally. The Internship work is project focused to assure a finiteconclusion.Tier I is instructor-led since it involves skill-based software learning which necessitates acomputer lab. This theory and application portion of the course meets for 10 hours per weekover a six week period. Tier II may be instructor-facilitated, online, or in a web-conferencingenvironment. The Internship portion of the course is conducted over a 5 week period for 20hours per week.Students and working professional that have achieved a technically-oriented Bachelor of Scienceor Master of Science degree are actively requited for the certificate program. Candidate studentshave degrees in the fields of engineering, information technology, computer science, operationsmanagement, marketing, or finance.With regard to learning objectives, students are expected to apply business intelligence/datamining analysis tools to solve real world problems through a local or distance project-orientedwork environment. At the end of the course, the student should be able to: o Frame a product development or business problem to build a decision support model o Assess data needs to build a decision support model o Prepare data for mining and decision support o Build classification and clustering based decision support models o Interpret and evaluate decision support models o Understand the advantages and pitfalls of different modeling techniques.This paper will highlight experiences from the initial Certificate Program that was completedMarch – June 2010. Eight students with varied degree backgrounds participated in the Program.Classroom examples of data mining applied to vehicle crashworthiness star ratings andhelicopter maintenance scheduling will be presented. Course outcomes will be discussedthrough presentation of two internship projects related to university fundraising decision makingand developmental debugging of engineering simulation software. The Program assessmentmethods consisted of student surveys taken during both the data mining/theory and the internshipcourse phases, and surveys completed at the companies sponsoring the student interns.
Schmueser, D. W., & Saleh, C. P., & Shrivastava, P. C., & Crose, L. L. (2011, June), Oakland University/Altair Engineering Technical Business Intelligence Corporate Internship Program Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--18450
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