Oakland University/Altair Engineering Technical Business Intelligence Corporate Internship Program

David W Schmueser; Charbel Philippe Saleh; Prakash C. Shrivastava; Lori Lin Crose

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Conference: 2011 ASEE Annual Conference & Exposition
Location: Vancouver, BC
Publication Date: June 26, 2011
Start Date: June 26, 2011
End Date: June 29, 2011
ISSN: 2153-5965
Conference Session: Post Graduate Experiential Programs and Insights
Tagged Division: Cooperative & Experiential Education
Page Count: 15
Page Numbers: 22.1113.1 - 22.1113.15
DOI: 10.18260/1-2--18450
Permanent URL: https://peer.asee.org/18450
Download Count: 478

Paper Authors

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David W Schmueser Altair Engineering Inc.

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Dr. David Schmueser is the Business Development Manager of University Programs in the United States for Altair Engineering, with primary responsibility for identifying and implementing Altair’s advanced engineering software and grid computing technologies for curriculum and research applications.

With more than 30 years of experience in engineering research, project technical management, and engineering instruction, Schmueser’s strategic role at Altair focuses on the development and execution of Altair’s university marketing and sales plan, fellowship program, higher education certification courses, and sponsorship of engineering team competitions.

Schmueser joined Altair in 2007, after working for the Research Laboratories and Advanced Product Development Divisions of General Motors and at the Battelle Columbus Laboratories. He has published numerous papers on CAE applications to lightweight structures, composite materials, and vehicle joint design. Dr. Schmueser has been an Adjunct Graduate Professor in the Mechanical Engineering Department at Wayne State University since 1993.
Schmueser holds Bachelor of Science and Master of Science degrees in Applied Mechanics from the University of Michigan, Ann Arbor, and a doctorate degree in Mechanical Engineering from the University of Michigan, Ann Arbor.

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Charbel Philippe Saleh Altair Engineering Inc.

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Mr. Charbel Saleh is the Product Line Manager for HiQube Technology at Altair Engineering. He is responsible for technical marketing, pre and post sales activities, and solution delivery for HiQube.
Mr. Saleh has more than ten years of experience in the areas of Computer Aided Engineering (CAE), software development, software customization, process automation, data analysis, and data visualization. He has extensive experience in different industries, such as, automotive, aerospace, consumer products, electronics, utilities, and manufacturing. Mr. Saleh holds a bachelor's degree in Computer Science (B.C.S.) and a master's degree in business administration (M.B.A.) from the University of Windsor, Ontario, Canada.

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Prakash C. Shrivastava Oakland University

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Prakash is currently an adjunct Professor at the School of Business, Oakland University where he teaches a graduate course on "Data Mining for Business Intelligence". He holds a Doctoral Degree in Mechanical and Aerospace Engineering from Princeton University. His work experience spans research and development of automatic control systems of space and ground vehicles. He is a business consultant and his current focus is in the area of "Business Analystics" and applications. He specializes in modeling and simulation of business strategies and process improvements using systems dynamics.

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Lori Lin Crose Oakland University

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Lori Crose works in Strategic Programs through Academic Affairs at Oakland University. In this position, she has administrative responsibility for educational programs including credit and non-credit certificates, re-licensure training, certification training and retooling programs at and above the post-bachelor level. She is responsible for developing high quality, innovative programming that will align with county, state, and federal employment trends and has been charged with connecting with government and with the business community through her work with the School of Business Administration. In addition to her 10 years of experience in administrating, counseling the adult student population and developing post-secondary programs, she has also had responsibility for writing and administrating educationally oriented grants at the K-12, secondary, and post-secondary levels. Previously she worked extensively in the health care industry, including work as a senior microbiologist for Pharmacia Upjohn and as a laboratory research assistant at a Southern Illinois University School of Medicine. She earned a Master’s degree in Public Administration in 2002 from Oakland University and a Bachelor’s degree from Illinois College in 1981. She is a current member of the Oakland County’s Workforce Development Business Round table.

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Abstract

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.

Citation
Format

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

TY  - CPAPER
AB  -             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.
AU  - David W Schmueser
AU  - Charbel Philippe Saleh
AU  - Prakash C. Shrivastava
AU  - Lori Lin Crose
CY  - Vancouver, BC
DA  - 2011/06/26
PB  - ASEE Conferences
TI  - Oakland University/Altair Engineering Technical Business Intelligence Corporate Internship Program
UR  - https://peer.asee.org/18450
DO  - 10.18260/1-2--18450
ER  -