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December 22, 2006
Subject: Quantitative Methods for Management Decisions, MA
6600
Dear Students,
Welcome to Quantitative Methods for Management Decisions.
This course explores the use of applied quantitative tools for
managerial decision making. These tools include Bayesian
decision theory, programming algorithms and special
deterministic models, such as queuing models. Students will
utilize computer applications to analyze data and to assist in
the decision making process. The prerequisites for this course
are BU 5300 or equivalent and computer proficiency. We hope that
this course will help you to become a more effective manager.
I should tell you a little bit about my background. In my
first computer job, back in 1991, I worked for $100 a week
answering phones for a former Wang Laboratories employee who was
building a new business around his training as a Certified
Netware Engineer. That job was supposed to help me pay my way
through school to become a Civil Engineer. Instead it launched
me down a whole new path, and I have spent my professional
career as an information technology integrator and an
entrepreneur.
In my academic life I have studied engineering, education,
business, and information technology. I have a B.S. in Workforce
Education and Development from Southern Illinois University in
Carbondale, a B.S. in Civil Engineering from the South Dakota
School of Mines and Technology, an M.S. in Technology for
Education and Training from the University of South Dakota and,
most recently, an M.B.A. from National American University. I am
currently enrolled in a Ph.D. program at the School of Mines.
Professionally I have collected a number of industry
certifications, mostly from Microsoft. These include Microsoft
Certified Systems Engineer, Microsoft Certified Trainer,
Microsoft Office Specialist Expert, Microsoft Office Specialist
Master Instructor, and Microsoft Certified Systems
Administrator. I have managed teams that worked on Internet
technologies, database development, applications development,
applications deployment, and network design.
From 1994 until 1999 I was a Yeoman in the U.S. Navy, and was
in charge of many of the administrative functions of an F/A-18
squadron. While managing correspondence, personnel records,
financial reports, operational reports, and classified materials
during our three deployments around the Mediterranean Sea and
the Arabian Gulf, I developed an intimate understanding of many
technological challenges that are now common issues for even the
smallest businesses, such as information security, portability,
connectivity, and interoperability.
I have also, at various times, worked in research
laboratories and studied engineering public policy. I spent the
summer of 2001 in Washington, D.C. on an internship funded by
the National Science Foundation to study the public policy
issues surrounding the proposal to convert the Homestake Mine
into an underground laboratory. From 2002 until 2003 I was the
Information Technologies Division Manager for a global technical
services firm that does research for many U.S. and foreign
government agencies and corporations. I spent much of 2003 and
2004 as a laboratory assistant in the Friction Stir Welding
Laboratory of the Advanced Materials Processing Center at the
School of Mines. In 2005 I was hired by the State of South
Dakota to help develop an index for High Performance Campuses.
As a trainer, I have had exciting opportunities to work with
all kinds of organizations to help them understand how to use
technology to improve their workflow and expand their
capabilities. A few of the organizations that I’ve done
consulting and training for that you might recognize include:
RESPEC Inc, U.S. Navy, U.S. Air Force, Microsoft, Navajo Nation,
IMC Global, Regal Computer, Hills Products Group, South Dakota
School of Mines, and Rushmore Borglum Story Museum.
My current interests run in the direction of the impact that
information technology has on business and society. I am writing
a book with the working title of Era of Convergence. I speak
regularly to groups of all sizes about the evolution of
information technology, how it is impacting global business, and
how to use it effectively. And I work as a consultant, often
managing technology deployments and company startups. I have my
own company called “Real South Dakota,” and I am starting a U.S.
office for another technical services company called “Denhi.”
As for my personal life, many of you have already had the
pleasure of meeting my lovely wife, Ruth, who is also a student
in the M.B.A. program. We’ve been married about two and a half
years, and we share our home with two dogs and a cat.
I believe that managers need to understand and be able to
explain the analytical basis for the decisions they make. My
goal for this course is to prepare you to be a better manager by
helping you improve your analytical skills.
Our first class will meet on Wednesday, January 3rd. We will
meet for 11 weeks. That means we will meet for two hours per
night (from 7:30 to 9:20 pm). I will post a syllabus for this
class on the Internet at
www.danielstanton.com/MA6600, and I’ll
use this site for posting assignments and other useful links.
You will find the syllabus attached. Please read it and
complete the assignments for Week 1 before our first class. If
you have any questions about these materials, please send me an
email or ask them during the first class.
Sincerely,
Daniel Stanton
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1. Schedule:
- We will meet on Wednesday evenings from 7:30 to 9:20,
starting January 3rd. The class will run for 11 weeks.
2. Instructor:
- Daniel Stanton. I work from home and travel frequently. If
you need to see me, I recommend you make an appointment. I am
usually easiest to reach by email.
3. Contact Information:
- Phone: 605-721-6273. I have voice mail if I am not able to answer your
call. Please don’t call before 8:00 AM or after 10:00 PM.
- Address: 727 South Street, Rapid City, SD 57701
- E-mail: daniel@danielstanton.com. Remember that e-mail is not
totally reliable. If you use e-mail to submit a document to me
it is your responsibility to confirm that I received it.
- I do not carry a cell phone.
4. Teaching Strategies:
There is plenty of material to cover. I won’t make it more
painful by asking trick questions. This is largely a discussion
course, a seminar. It will work the best and be the most fun if
the students do more than half of the talking and the instructor
does less than half. The discussions of business situations take
priority. Some of the assignments may involve team efforts to
research a topic and make a presentation to the class.
5. Grading Approach.
There will be no tests, but there will be weekly quizzes. I
use a points system. It is based on how much work that you do.
Written papers and exercises are opportunities for you to earn
points. Class participation is an opportunity to earn points.
Doing an extra credit assignment is an opportunity to earn
points. Your grade for this class will be based on the number of
points that you earn, as a percentage of the total points for
the class. The grading scale is:
90.0 – 100% A 80.0 – 89.9% B 70.0 – 79.9% C 65.0 – 69.9% D < 65.0% F
Usually, people who earn the top grades do all of the reading
and homework, come to class regularly, participate actively in
class discussions, and write good papers. Usually, people who
earn lower grades have one or more of the following
characteristics: they do not do all the reading or homework,
they do not come to class regularly, they do not actively
participate in class discussions, or they do not complete the
research papers. For assignments that involve team efforts to
research a topic and make a presentation to the class, each
member of the team will receive the same grade.
6. NAU Policy on Cheating and Plagiarism
The purpose of writing assignments is to help you learn to be
a better writer. Consequently, if you plagiarize, you are
defeating the fundamental purpose of the assignment, and you are
cheating your fellow classmates who are actually doing the work.
I do read everything that you turn in. I can usually tell
whether you wrote it or took it from a published source.
The Internet is a wonderful source of papers that have
already been written by other people. Wikipedia, in particular,
is a rich source of content on a variety of topics. However, if
you use someone else’s words instead of writing your own, you
are cheating yourself and your classmates.
The NAU policy for instances of cheating is a two-step
process. (1) The first time you are caught, you earn a zero for
that assignment. (2) The second time you are caught, you earn an
“F” for the course, you are turned over to the NAU
administration, and they may kick you out of school.
Don’t get desperate if you don’t know the answer to
something. It is okay to get a wrong answer once in a while. It
is okay to not know the answer once in a while.
7. Campus Closure Due to Weather.
National American University has a campus closure line. Rapid
City area employees and students can call to find out if the
Rapid City campus, Ellsworth Air Force Base campus, Central
Administration or the Center for Innovation have been closed due
to weather. Local radio and television stations
will also be notified of closures. The number to call is
721-5399.
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MA 6600 - Methods for Management Decisions - 4.5 quarter
credits
Course Description:
This course explores the use of applied quantitative tools for
managerial decision making. These tools include Bayesian
decision theory, programming algorithms and special
deterministic models, such as queuing models. Students will
utilize computer applications to analyze data and to assist in
the decision making process.
Objectives of the Course:
Upon successful completion of this course, the student will be
able to:
1. Observe the role of probability in an uncertain
environment.
2. Understand how uncertainty affects decision making.
3. Determine how imperfect and perfect information can be added
to a decision making process.
4. Evaluate sample information.
5. The art of formulating linear programming problems.
6. Gain an understanding of methods for solving simple and
complex programming problems.
7. Learning the economic implications of programming solutions.
8. Developing solutions to transportation decisions.
9. Develop ability to analyze business environments involving
queues.
10. Explore managerial situations which involve optimization
over time.
Additional Instructional Materials:
Please refer to the course learning plans for required readings.
Instructional Materials:
None
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Course Outline
Week 1: Introduction to Quantitative Methodss
Week 2: Computational Modeling and Analysis Tools
Week 3: Probability and Statistics
Week 4: Decision Theory
Week 5: Decision Trees
Week 6: Forecasting
Week 7: Inventory Control Models
Week 8: Linear Programming
Week 9: Project Management
Week 10: Queuing Theory
Week 11: Summary
Written Assignments
Each week you will be asked to turn in assignments. Some of
them, such as the Biographies, will require you to do research
and write papers, while others will involve analyzing problems
and using spreadsheets to solve them.
I will be posting a website at www.danielstanton.com/MA6600.
This site will contain information for this course, and will
allow you to download copies of many of the handouts that you’ll
receive in class. One of the things that I will post on the site
is an Assignment Tracker to help you keep track of what is due
each week during the term. Assignments, quiz grades, and your
classroom participation, will be the basis for your grade.
Therefore, you should have a pretty good idea of how you are
doing at all times.
Quizzes
We will have a short quiz worth 10 points at the beginning of
each class. You will know in advance what the quiz will cover,
so if you are prepared the quiz is an easy way to earn points.
The quizzes will focus on material from prerequisite courses.
The intent is to encourage you to brush up on old material
before you come to class. That will make it easier for us to
spend our time together covering new material, and putting the
old stuff together in new ways.
Biographies
You will write a biography for each of ten people. Each
biography should be at least 200 words, or about one full
double-spaced page, and will be worth 10 points. You do not need
to apply APA format to these biographies, nor do you need to
attach a cover page, but you will lose points for errors in
spelling and grammar. Please feel free to use Wikipedia as a
starting point for your research, but be careful of relying on
it as your only resource. Here are some questions that may help
you generate ideas while you are writing:
- When and where did this person live?
- Have you heard of them before and, if so, where?
- What was their most important contribution to mathematics and
quantitative analysis?
- What is something about your world which was made possible by
their work?
- How have you used their work in your own life?
Assignments for Our First Class
- Write a biography for Thomas Bayes.
- Write a paper with a minimum of 200 words telling me why
you want to have an MBA, how you think it will help you, and how
you expect this class to fit into your plan.
- Our quiz will ask you to write definitions and give
examples of quantitative analysis and qualitative analysis.
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