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BUSN625 - Applied Decision Making

Course Details

Course Code: BUSN625 Course ID: 2741 Credit Hours: 3 Level: Graduate

This is a course in business analysis. This course investigates the advanced analysis methods and techniques used to solve modern business problems. The course emphasizes the most successful methods from business statistics, production and operations management, management science, and operations research fields of study. Students will be required to synthesize material from several major fields of study in order to apply it in this course. The capabilities of Microsoft Office will be used extensively throughout the course to illustrate the application of these methods and techniques to the analysis and solution of modern business problems. The course will first investigate the types of problems faced by businesses in the both the production and service areas. Methods of analysis will be investigated to solve these type problems including probability concepts and their applications, statistical quality control, process design, forecasting, inventory control, waiting line models, transportation and assignment methods, decision analysis, and simulation modeling.





Course Schedule

Registration Dates Course Dates Session Weeks
04/29/19 - 10/04/19 10/07/19 - 12/01/19 Fall 2019 Session B 8 Week session
05/27/19 - 11/01/19 11/04/19 - 12/29/19 Fall 2019 Session I 8 Week session
06/24/19 - 11/29/19 12/02/19 - 01/26/20 Fall 2019 Session D 8 Week session
07/29/19 - 01/03/20 01/06/20 - 03/01/20 Winter 2020 Session B 8 Week session
08/26/19 - 01/31/20 02/03/20 - 03/29/20 Winter 2020 Session I 8 Week session
09/30/19 - 02/28/20 03/02/20 - 04/26/20 Winter 2020 Session D 8 Week session

Current Syllabi

LO-1 Identify the types of data and appropriate methods that are specific to managerial decision making

LO-2 Utilize statistical inference to draw relevant conclusions from data

LO-3 Apply regression analysis to inform business decision-making

LO-4 Discriminate among qualitative and quantitative forecasting models appropriate to discrete managerial needs

LO-5 Apply risk analysis to anticipate possible business outcomes

LO-6 Integrate statistical reports with managerial thinking to resolve uncertainty and achieve business utility

Book Title: Statistics, Data Analysis and Decision Modeling, 5th ed.(custom)- (The custom ISBN may have more competitive pricing in hard copy or electronic format.The non-custom ISBN is:9780132744287, please use this to search for the book from other booksellers.)
Author: Evans, James R.
Publication Info: Pearson
ISBN: 9781269648868
Book Title: If you prefer the electronic format, your required book(s) may be available for purchase from the APUS Bookstore in a VitalSource e-book format
Author:
Publication Info:
ISBN: GRAD NOTE

Book Title:Statistics, Data Analysis and Decision Modeling, 5th ed.
ISBN:9780132744287
Publication Info:Pearson
Author:Evans, James R.
Unit Cost:$208.04

Previous Syllabi

Not current for future courses.