Due to the lack of mathematical sophistication of business students, the management science is difficult for both students and professors. Quantitative Methods for Management, 3e attempts to reduce these difficulties by providing a student-oriented approach to the material, with more emphasis on application (how it works) and problem recognition (when it works) and less on derivation (why it works).
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William is Professor of Management Science in Alcorn State University's MBA Program at Natchez, MS. His PhD is from The University of Florida, and he is a registered professional engineer (P.E.) in Industrial Engineering. He is a past President of the Southwest Region of the Decision Science Institute, and a recipient of the Distinguished Service and Outstanding Educator Awards, as well as a 30+ year member of the national DSI. He also a member of INFORMS. He has authored numerous articles in professional journals and presented over 100 papers at national and regional professional meetings. He is coauthor of several texts in Management Science and Quantitative Methods, as well as the DSS and QMS software packages. His interests include sailing and a life-long pursuit of a single digit golf handicap.
Mark leads Product Management at Aurum Technology. He is responsible for the strategy and positioning of Aurum product offerings for the financial institution industry. Mark spent 17 years at Electronic Data Systems (EDS) in a variety of capacities including delivery executive for Interactive Billing Solutions and for Electronic Banking. Mark graduated from the University of Texas at Arlington with a Bachelor of Business Administration - Systems Analysis in 1983.
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Anbieter: Salish Sea Books, Bellingham, WA, USA
Hardcover. Zustand: Good. 0759338124 Good+; Hardcover; Light-to-moderate shelfwear to covers; Unblemished textblock edges; Pages bright & unmarked; Tight binding with straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; 3rd Edition; 2004, Custom Publishing; 664 pages; "Quantitative Methods for Management," by William E. Pinney, et al. Artikel-Nr. SKU-R1611104025
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