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Applied Management Science: A Computer-Integrated Approach for Decision Making
 
 
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Applied Management Science: A Computer-Integrated Approach for Decision Making [Hardcover]

John A. Lawrence (Author), Barry A. Pasternack (Author)
2.4 out of 5 stars  See all reviews (5 customer reviews)


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Hardcover $122.09  
Hardcover, November 3, 1997 --  
There is a newer edition of this item:
Applied Management Science: Modeling, Spreadsheet Analysis, and Communication for Decision Making, 2nd Edition Applied Management Science: Modeling, Spreadsheet Analysis, and Communication for Decision Making, 2nd Edition 2.4 out of 5 stars (5)
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Book Description

0471137766 978-0471137764 November 3, 1997
The authors set out to take mathematical modeling a couple of steps further by emphasizing the decision making process and the communication of results. They approach each topic via a narrative of a business situation and illustrate the model building process, taking great care to emphasize the model's assumptions and limitations. Each chapter is then organized around a clearly defined set of pedagogical features designed to guide the student through the management science process.


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PowerPoint Presentations, Instructor's Manual with Complete Solutions, Test Bank, Wiley/Nightly Business Video Series, Internet Web Site, Quantitative Business Custom Publishing Program available. -- The publisher, John Wiley & Sons

From the Publisher

The authors set out to take mathematical modeling a couple of steps further by emphasizing the decision making process and the communication of results. They approach each topic via a narrative of a business situation and illustrate the model building process, taking great care to emphasize the model's assumptions and limitations. Each chapter is then organized around a clearly defined set of pedagogical features designed to guide the student through the management science process.

Product Details

  • Hardcover: 630 pages
  • Publisher: Wiley (November 3, 1997)
  • Language: English
  • ISBN-10: 0471137766
  • ISBN-13: 978-0471137764
  • Product Dimensions: 11.2 x 8.7 x 1.3 inches
  • Shipping Weight: 3.9 pounds
  • Average Customer Review: 2.4 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #1,382,180 in Books (See Top 100 in Books)

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2.4 out of 5 stars (5 customer reviews)
 
 
 
 
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9 of 12 people found the following review helpful:
1.0 out of 5 stars Bad Text By Department Chair, June 12, 2000
By A Customer
This review is from: Applied Management Science: A Computer-Integrated Approach for Decision Making (Hardcover)
I was a student at Cal State Fullerton, where these professors teach. This is the worst textbook I have ever read. The text is poorly written. The book doesn't read well and has many typos. I would have expected more from the Management Science Department Chair.
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1 of 1 people found the following review helpful:
1.0 out of 5 stars Use this textbook at your own risk!, December 21, 2009
If there's a worse textbook out there for this subject (or any for that matter), I've never encountered it. I almost failed the course thanks to this piece of junk. The chapters are about 20% theory/principles on the topics and 80% "how to use Excel to solve the problems." The only problem is that the templates supplied have errors in them and are, therefore, USELESS! Also, Excel is slow to solve and the templates are difficult to use. There is plenty of decision support software out there that is easier to use and doesn't cost a fortune.

Long story short, if I hadn't dug up my 17-year-old textbook from when I took this course as an undergrad, I would never have survived.

If you must use this textbook, you have my sympathies.

I would have given this textbook 0 stars, but Amazon won't let me rate that low.
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5 of 7 people found the following review helpful:
3.0 out of 5 stars Applied Management Science: A Computer-Integrated Approach f, March 31, 2003
By A Customer
This is a nobel effort. to try to do a very hard thing. The author however is very hard to follow and at times the explanations drifts into incoherance. Also, I think the author may be too brilliant to write for the average student. He might be better served by having a grad student or military trained person break down the book into coherant steps. This book has some gems of useful info, trapped in some bad explainations. The next version of this may be a truly great textbook. My advice to the author is to simplify and go step by step. Delete text and runon paragraphs where possible. If you take a class based on this book, insist on a lab and a helpful grad student.
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