BADM 710 STATISTICS & QM FOR DECISION-MAKERS

DR. STEPHEN JAY SILVER

CLASS: Wed. 5:45 – 8:30 LCGC

OFFICE: Bond 358 ; Office Hours Wed 5:00 - 5:45 (LCGC) or by Appt.

E-MAIL: silvers@citadel.edu

PHONE: 953-5163

HOME: 766-9943

COURSE DESCRIPTION:

This course is designed to provide students with knowledge of analytical tools and concepts used in making optimal decisions in the pursuit of organizational goals including cost efficiency, service delivery, and profit.  Analytical concepts include probability theory, statistics, and utility theory. Analytical tools include linear models, linear programming, network models, queuing models, statistical process control methods, and project management techniques.


COURSE OBJECTIVES:

The general objective of the course is to develop and enhance the student's problem-solving and decision-making capabilities in an operational environment. Specifically, when confronted with a management problem, the student should be able to:

a.      Conceptualize the problem within a statistical and analytical framework.

b.      Identify the type of problem confronted and the appropriate management techniques for solving the problem.

c.      Use appropriate tools and software to solve the problem.

d.      Interpret the results obtained.

e.      Understand the capabilities and limitations of the technique and software used.

f.    Apply the results in the decision-making process.

TEXT:  Barry Rinder and Ralph M. Stair, Quantitative Analysis for Managers. 10th  ed. Upper Saddle River, NJ: Prentice Hall, 2008. (may use 9th ed.)

GRADING:  The grading will consist of two tests, each worth 40 percent, and cases at the end of selected chapters.  Participation and attendance will be used to determine grades that are at the margin.  The grading scale is as follows:

A = 90-100; B+ = 88-90; B = 82-88; C+ = 78-80; C = 70-78; F = <70  

 

PROPOSED SCHEDULE OF CLASSES

DATE

TOPICS

CHAPTERS

HOMEWORK

Aug. 27, Sep. 3, 10

Mathematics of Optimization: Calculus (from Handout)

Handout

Handout

Sep. 17, 24, Oct. 1

Statistics 2.1-13 and Handout

Handout

Ch2-35, 38, 40, 43, 46 or 48; Ch4-16, 18, 23

8

Decision Theory 3.4, 3.5

3

Ch3-16, 17, 21, 24, 29, 33

15

Test I

 

Practice Test I

22, 29, Nov. 5

Inventory Control Models; Linear Programming Models

6.1-6.10;7-8 (selected topics)

Ch6-23, 25, 26; Ch7-31, 36, 43; Ch8- 10, 12, 18, 20

 12

Transportation and Assignment Models

 10

Ch8-10 (as a Transport model);Ch10-15, 23, 24, 30

19

Network Models

12

Ch12-7, 9, 13, 17

Dec. 3

Project Management; Waiting Lines and Queuing Theory Models

13, 14

Ch. 13-12, 16, 19, 28, 29
Ch. 14 –14, 17, 18, 31

9

Test 2

 

Practice Test 2

 

Statistical Tables: 

Waiting Line Tables:

 

 

Binomial Tables  

Po

Poisson Table

Pw

Normal Table     

Lq

T-Table      

Waiting Line Formulas

F-Tables