MANAGEMENT, OPERATIONS, & MARKETING
DEPARTMENT
CBA
The CSU,
Course
Number (3 Credit Hours):
Course
Title: Management
Science
Term: Spring
2006
Prerequisites: Computer
literacy (such as CIS 2000); MATH 1500, 1610 (may be taken concurrently), Jr. Standing
Instructor
Information: Dr.
Office: PSB,
Room #223A
Phone: (209)667-3149/3507
Office
Hours: TR
W
Fax: (209)
667-3210
E-mail: naly@csustan.edu
Homepage: http://mom.csustan.edu/naelaly/
Required Text:
Introduction to Management Science, 8th Edition, by
Computer Lab
Every student enrolled in this class MUST
enroll in either Lab 5 (OM 3022-1), which is scheduled from
Course Learning Objectives:
Primary:
1.
Provide
the student with an understanding of different quantitative techniques and their
applications in solving real life and management problems. (5a)
2.
Learning
the philosophy of approaching any business problems in a logical, consistent,
and systematic manner. (5a)
3.
Improve
students’ rational thinking, problem solving and decision making abilities. (5a)
4.
Use
analytical modeling and computer information technology to support business
related activities. (5c)
5.
Gather,
synthesize and use information. (5b)
Secondary:
1.
Work
effectively as a member of a team to define, analyze and solve business
problems. (1e)
2.
Prepare
a cohesive, coherent, and well-written document. (1b)
Course Description
Use of quantitative techniques to analyze and solve business problems; topics
include linear programming, decision analysis, network models, project management,
forecasting, inventory and queuing analysis. Computer applications in
management science will also be included. (Lecture, 2 hours;
computer lab, 2 hours).
Topics Covered and Tentative Schedule
Course Introduction....................................................................................... Feb. 14
Chapter 1 Introduction
to Management Science.......................................... Feb. 16
2 Linear Programming:
Model Formulation................................... Feb. 16
4 Linear Programming: Modeling
Examples……………………. Feb. 21
3 Linear Programming:
Computer Solution and
Sensitivity Analysis using DS for
Windows......................... Feb.
28
5 The Transportation
Model using the MODI Method................... March
7
7 Decision Analysis
* Decision making without probabilities
* Decision making with probabilities
* Decision Tress....................................................................
March 21
8 Queuing Analysis
* The single-server waiting line system
* The multiple-server waiting line system............................. April 4
9 Network Flow Models
* The shortest-route problem
* The minimal-spanning tree problem.................................. April 13
10 Project Management
* The project network
* The critical path
* Probabilistic Activity Times.............................................. May 2
11 Forecasting
* Time series method
* Regression forecasting methods........................................ May 16
Final Revision............................................................................................... May 23
Teaching Methods
This course will emphasize the teamwork approach. The
main purpose of using this approach is to continuously improve the process of
learning and teaching through students’ involvement. Students' input regarding
the course, its organization, exam format, and course improvement will be
continuously solicited, encouraged and rewarded.
All
students will be organized into teams. Each team will consist of 2 students.
Students in every team should work together as one unit and help mentor each
other throughout the semester. Teams’ responsibilities are:
1.
Each
team will submit one term project.
2.
All
homework assignments will be team work.
3.
In
case any student misses a class, other students in the team will be responsible
for helping him/her make-up the missed class. This includes handling any
handouts, class notes, materials, and homework.
I
strongly believe that open communication with students and their continuous
feedback are essential elements of quality teaching. Consequently, I encourage
and urge every student to ask questions, ask for further instructions,
participate in class discussions, and even disagree with me (sometimes!!!). In
particular, I do welcome any ideas and input that will help me improve the
course and/or my teaching effectiveness. Students should feel free to talk to
me about any of these issues in or out of class. I promise to listen and
consider all your ideas to improve this class and my teaching without any
negative effect whatsoever on your grade. Please try me!!!
Course Requirements:
1.
Three
exams.
2.
Homework
assignments covering all management science techniques covered in class.
3.
Computer
lab assignments covering use of DS for Windows to solve Management Science
problems and interpret results of computer printouts.
4.
Each
team will submit a term project. This
project involves the application of Quantitative Analysis in real life
problems. The outline of this project is
as follows:
a. Select a real life problem
(problem you have at work, at home, in school, when you travel, etc.)
b. Define the problem clearly
and in details.
c. Formulate the problem
using any quantitative techniques you see appropriate. Show all data and its
sources.
d. Solve the problem. Show
all details and enclose any computer results if any.
e. Analyze and present the
results
Format and style of the report:
a. Report should be at least
5 typewritten pages.
b. Report should be written
using the business writing style.
Timing and grading:
a. Project will count for 10%
of the final grade.
b. Project submission date is
May 30.
No late projects will be
accepted.
Grading
Two Exams (25% each) 50%
Final Exam 25%
Homework and class participation 15%
Term Project 10%
Approximate Test Dates
Exam I March 23
Exam II April 27
Final Exam May 30 (11:15-1:15 PM)
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