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Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Management Science, Revised (with Interactive Video Skillbuilder CD-R
Download Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Management Science, Revised (with Interactive Video Skillbuilder CD-R
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Cliff Ragsdale is an innovator of the spreadsheet teaching revolution and is highly regarded in the field of management science. The revised fifth edition of SPREADSHEET MODELING AND DECISION ANALYSIS retains the elements and philosophy that has made its past editions so successful. New topics have been added as well as examples that are relevant to decision making in today's business world. This version of SPREADSHEET MODELING AND DECISION ANALYSIS has been updated for use with Microsoft Office Excel 2007. It provides succinct instruction in the most commonly used management science techniques and shows how these tools can be implemented using the most current version of Excel for Windows. This text also focuses on developing both algebraic and spreadsheet modeling skills.
- Sales Rank: #582925 in Books
- Brand: Brand: South-Western College Pub
- Published on: 2007-10-12
- Original language: English
- Number of items: 1
- Dimensions: 1.50" h x 8.30" w x 10.20" l, 3.75 pounds
- Binding: Hardcover
- 820 pages
- Used Book in Good Condition
About the Author
Cliff Ragsdale is the Bank of America Professor, Department of Business Information Technology in the Pamplin College of Business at Virginia Tech, where he has taught since 1990. He received his Ph.D. in Management Science and Information Technology from the University of Georgia. He also holds an M.B.A. in Finance and B.A. in Psychology from the University of Central Florida. Before pursuing his Ph.D., he was supervisor of Benefit Finance & Qualified Plans at the international headquarters of Red Lobster, Inc. He has served as an information systems and statistical consultant for a variety of companies and as an expert witness in the area of spreadsheet forensics. Dr. Ragsdale's primary areas of research interest include applications of artificial intelligence, mathematical programming, and applying statistics to business problems. His research has appeared in DECISION SCIENCES, NAVAL RESEARCH LOGISTICS, OMEGA: THE INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, COMPUTERS & OPERATIONS RESEARCH, OPERATIONS RESEARCH LETTERS, PERSONAL FINANCIAL PLANNING, and other publications. He has received both the Pamplin award for excellence in teaching and the Outstanding Doctoral Educator Award from the Pamplin College of Business Administration at Virginia Tech. Dr. Ragsdale is a Fellow of the Decision Sciences Institute and active member of DSI and INFORMS.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Good Introduction to Management Science and MS Excel Solver
By James R. Mettling
I found this an excellent introduction to both the modern approach to analytical business problem solving and the use of Excel Solver to make such analysis quick and easy. As might be expected from a text book, their are many references to other works that enable a more in-depth study of the mathematics behind the methodologies. I found it a good quick reference to modern business analysis as practiced today.
5 of 6 people found the following review helpful.
kindle version awesome, but NO access to the text CD content
By L. Mureebe
I bought this to supplement my coursework. The book and the kindle format BOTH get 5 stars. What makes this only a 3 star offering is the fact that the book references example files and programs that are ONLY accessible from the CD (which doesn't come with the Kindle edition) I even spoke with the publisher and they weren't much help in obtaining them. Would be THRILLED to alter the review if ANYONE can tell me how to get those additional resources...
5 of 6 people found the following review helpful.
Excellent Course Material
By Jennifer Errande
I used this textbook for a class I took in Quantitative Anlaysis and strongly recommend it to anyone who feels the need to learn how to apply math to their business environment.
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