Abstract Details
Activity Number:
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260
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Education
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Abstract - #308221 |
Title:
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A Comprehensive Analytics (Statistics, Data, and Technology) Sequence for Business Students
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Author(s):
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Scott Toney*+
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Companies:
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University of Denver
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Keywords:
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Analytics Sequence ;
Student Projects ;
Undergraduate Business
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Abstract:
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The Daniels College of Business at the University of Denver traditionally required that each undergraduate business student take three quarter long courses of Statistics and one quarter long course of Information Technology. A department reorganization and curriculum re-evaluation resulted in a new sequence of three quarter long courses with a focus on Business Analytics. The new courses take the best of Information Technology, Statistics, and Data Analysis and create a comprehensive sequence designed to prepare business majors of all types for the data landscape they are likely to encounter in their work life. An emphasis on hands on computer skills and projects involving large data sets permeates the courses. An understanding of business functions and the technology that supports those functions lays the foundation for the sequence. The first two courses act as an introduction that leads to a final course in hands on simulation, optimization, multiple regression, and time series analysis. This poster presentation will highlight the goals of an analytics sequence, tools used in the classroom, large data sets for in and out of the classroom, and projects expected by the students.
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Authors who are presenting talks have a * after their name.
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