1. INSTRUCTOR WM. PINNEY, PhD
  2. OFFICE 114 MBA Bldg, Natchez
  3. EVALUATION: Midterm Exam  40%
  4.  Final Exam  50%
  5.  H/W & Computer Assigns  10%
  6.  TOTAL  100%

 
 

MBA 610
QUANTITATIVE ANALYSIS
SPRING, 2008
 
 

INSTRUCTOR  WM. PINNEY, PhD

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OFFICE  114 MBA Bldg, Natchez
PHONE  601/304-4376
E-MAIL  pinney@ alcorn.edu
OFFICE HOURS  M 5-6 or by appointment
 
 
COURSE OBJECTIVES:
 
1.   To review the fundamentals of statistics, algebra, matrices & determinants, systems of linear equations, and classical optimization.
 
2.  To acquire an understanding of the mathematical basis behind a variety of the modeling techniques used in management decision making.
 
3.   To formulate and solve mathematical models of problems in the various disciplines of business administration.
 
4.  To learn to employ the QMS software in the solution of several classes of management science problems.
 
 
REQUIRED TEXT: Quantitative Methods for Management (3rd edition), by Pinney, McWilliams, Ormsby & Atchison. Thompson Learning, Inc. 3rd Edition (2005) ISBN 0-759-33812-4.
REQUIRED SOFTWARE: Quantitative Methods Software (QMS) provided by Site License from QMS to registered students through the Alcorn State University School of Business. (Available on CD from publisher.)
STUDENT SOLUTION MANUAL & WORKBOOK: Available on-line from QMS May be downloaded as needed at no cost to students.
 
 

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EVALUATION:  Midterm Exam   40%

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 Final Exam   50%

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 H/W & Computer Assigns   10%

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 TOTAL   100%
 
 
 
 
 

TENTATIVE COURSE OUTLINE:
CHAPTER
TOPICS
H/W #’s
SWB #’s
P/O?
1
Introduction and Overview
N/A
N/A
N
Appendix A
Algebra review, Matrix Algebra,
Systems of Equations, Determinants
1-8
(All)
N/A
N
18
MTP’s, Future period Market Shares, Equilibrium market shares
1-3,
7, 10
1-3
Y
2
Linear Programming problem formulation. Examples, Assumptions of the LP model
1-6, 15
1-5
N
3
Graphical solution of LP problems.
Constraints, Feasible region,
Objective function, Optimal solution
1-6
1
N
5
QMS solution to graphical LP
Inputs, Output interpretation,
Sensitivity Analysis
1-4
1-3
Y
8
Transportation model.
Formulation, Solution procedures,
Interpretation of QMS outputs
1-5,
12, 14
1
Y
9
Assignment model.
Formulation, Hungarian solution model, Interpretation of QMS outputs
1-5,
15, 19
1a, 2
Y
10
Critical Path Method (CPM), Shortest Path, Minimal Spanning Tree,
Max Flow/Min Cut, Traveling Sales Rep.
Formulation, Solution, QMS
1,3,17,21
27,
29, 36
1-4
Y
NOTES
Slopes, 1st & 2nd Derivatives,
Kuhn-Tucker Conditions for Max & Min
12.1-3, 10
13.1-5, 15
12.1-3
13.1-3
N
NOTES
Cost/Volume/Profit model of the firm.
Application of Maximization/Minimization
1, 5-10
1,2
N
12
Economic Order Quantity (EOQ) model, Discount model, Economic Lot Size (ELS) QMS output interpretation
1-9, 14
1-6
Y
15
Decision Analysis (Uncertainty & Risk) QMS output interpretation
1-8
1,2
Y
16
Waiting Lines (Queues)
Single and Multichannel Systems QMS output interpretation
1,2,4,8,9
1,2
Y
         
         

 

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