From Mess to Model

Cincinnati, Ohio
Thursday, April 17, 2014
From Mess to Model
Thursday, April 17, 2014 8:00 AM -
Friday, April 18, 2014 4:30 PM (Eastern Time)

Kingsgate Marriott at the University of Cincinnati
151 Goodman Dr
Cincinnati, Ohio 45219
United States

Map and Directions
Two-day short course offered through the Center for Business Analytics at the University of Cincinnati.

Dates: Thursday, April 17 and Friday, April 18, 2014
8:00AM - 4:30PM

Course Description: Real life is messy. All of us have encountered the feeling of “Where do I begin?” when facing a difficult problem or decision. This course will instruct attendees on how to take complex problems and transform them into structured models where advanced analytics methods can be applied to generate solutions. The course will introduce influence diagrams and decision trees for defining the problem and structuring a model. The course will discuss rapid prototyping of models to generate potential approaches. Proper modeling form and enhanced spreadsheet models will be emphasized. Prescriptive analytics methods such as optimization and simulation will also be discussed to solve the generated models. - See more at: http://business.uc.edu/centers/analytics-center/analytics-training.html#sthash.Q8ovoVG6.dpuf
Course Description: Real life is messy. All of us have encountered the feeling of “Where do I begin?” when facing a difficult problem or decision. This course will instruct attendees on how to take complex problems and transform them into structured models where advanced analytics methods can be applied to generate solutions. The course will introduce influence diagrams and decision trees for defining the problem and structuring a model. The course will discuss rapid prototyping of models to generate potential approaches. Proper modeling form and enhanced spreadsheet models will be emphasized. Prescriptive analytics methods such as optimization and simulation will also be discussed to solve the generated models. - See more at: http://business.uc.edu/centers/analytics-center/analytics-training.html#sthash.Q8ovoVG6.dpuf
Course Description: Real life is messy. All of us have encountered the feeling of “Where do I begin?” when facing a difficult problem or decision. This course will instruct attendees on how to take complex problems and transform them into structured models where advanced analytics methods can be applied to generate solutions. The course will introduce influence diagrams and decision trees for defining the problem and structuring a model. The course will discuss rapid prototyping of models to generate potential approaches. Proper modeling form and enhanced spreadsheet models will be emphasized. Prescriptive analytics methods such as optimization and simulation will also be discussed to solve the generated models. - See more at: http://business.uc.edu/centers/analytics-center/analytics-training.html#sthash.Q8ovoVG6.dpuf
Course Description: Real life is messy. All of us have encountered the feeling of “Where do I begin?” when facing a difficult problem or decision. This course will instruct attendees on how to take complex problems and transform them into structured models where advanced analytics methods can be applied to generate solutions. The course will introduce influence diagrams and decision trees for defining the problem and structuring a model. The course will discuss rapid prototyping of models to generate potential approaches. Proper modeling form and enhanced spreadsheet models will be emphasized. Prescriptive analytics methods such as optimization and simulation will also be discussed to solve the generated models.

Instructor Bios:


Jeff Camm is Founder and Director of the Center for Business Analytics at the University of Cincinnati. He is also Professor and Head of the Operations, Business Analytics and Information Systems Department in the Lindner College of Business as well as a Fellow of the Graduate School at the University of Cincinnati. He has been a visiting faculty member at Stanford University and the Tuck School of Business at Dartmouth. Professor Camm has published over 30 research articles in the general area of optimization in the top journals of his field, and is considered a leader in applied optimization research. He has consulted for dozens of organizations including P&G, GE, Kroger, Tyco, Duke Energy, Owens Corning and many others. Professor Camm has received multiple teaching awards including the prestigious INFORMS Prize for the Teaching of OR/MS Practice. He is also a coauthor of several leading textbooks including Essentials of Business Analytics, Quantitative Methods for Business and Statistics for Business and Economics. Professor Camm earned a BS in Math at Xavier University and PhD from Clemson University in Management Science.


Mike Fry is Assistant Director of the Center for Business Analytics. He is also an Associate Professor and Lindner Research Fellow in the Operations, Business Analytics and Information Systems Department at the University of Cincinnati. He has been a visiting faculty member at Cornell University and the University of British Columbia. Professor Fry has published over 20 articles in leading journals in the areas of supply chain optimization, public-policy operations and sports analytics. He has consulted for such organizations as Dell Computer, Starbucks Coffee Company, Copeland Corporation, the State of Ohio Election Commission, the Cincinnati Bengals and others. Professor Fry has received multiple teaching awards including the 2013 Michael L. Dean Excellence in Graduate Teaching Award. He is a coauthor (with Professor Camm) of several leading textbooks including Essentials of Business Analytics and Quantitative Methods for Business. Professor Fry received his BS degree from Texas A&M University and his MSE and PhD from the University of Michigan in Industrial and Operations Engineering.
 

Contact Information

Payment Instructions

  • The cost to register for this course is $595.

    An early registration price of $495 is available to those that register through March 31, 2014.

    Additionally, there is a group discount of $100 per registrant if 5 or more people are registered at the same time for the same class.

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