QMB 3301â QUANTITATIVE METHODS IN ... - Faculty.utep.edu
QMB 3301â QUANTITATIVE METHODS IN ... - Faculty.utep.edu
QMB 3301â QUANTITATIVE METHODS IN ... - Faculty.utep.edu
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<strong>QMB</strong> 3301– <strong>QUANTITATIVE</strong> <strong>METHODS</strong> <strong>IN</strong> BUS<strong>IN</strong>ESS<br />
Fall 2005 CRN:17056 TR 6:00 – 7:20 p.m. BUSN 331<br />
Instructor: Dr. Alex J. Ruiz-Torres Phone: (915) 747-5970<br />
Office: 220 Fax: (915) 747-5126<br />
Office hours: TR 3:00 – 5:00 p.m. E-Mail: aruiztor@<strong>utep</strong>.<strong>edu</strong><br />
COURSE DESCRIPTION (From Goldmine)<br />
Introduction to quantitative methods applied to business decision making. These methods<br />
include linear, integer, and goal programming, network analysis, and transportation linear<br />
programming. A major effort is devoted to computerized solution techniques to provide<br />
managerial information. Restricted to majors: ACCT, BSAD, CIS, ECON, F<strong>IN</strong>, MGMT, and<br />
MKT. Prerequisite: <strong>QMB</strong> 2301.<br />
COURSE OBJECTIVES<br />
• Students will learn how to model business problems using a variety of quantitative<br />
modeling methods.<br />
• To equip the student with analytical and computer modeling skills (via Excel) applied to<br />
business decision-making problems.<br />
The ability of students to develop quantitative models to address business problems will be<br />
measured by their performance in the mid-term/final examinations and quizzes. Homework<br />
will be used to foster the development of these skills and to evaluate the student ability to<br />
apply these skills into computer models via Excel exercises.<br />
REQUIRED TEXT<br />
Anderson, David R., Sweeny, Dennis J., and Williams, Thomas A., An Introduction to<br />
Management Science, Quantitative Approaches to Decision Making, 11th ed., West<br />
Publishing Company, 2004. ISBN: 0-324-20231-8<br />
ATTENDANCE<br />
You are expected to attend classes regularly and on time. You take full responsibility when<br />
you miss class or come to class late.<br />
COURSE GRAD<strong>IN</strong>G<br />
Mid-Term Exams (2)<br />
Final Exam<br />
Quizzes<br />
Homework<br />
Total<br />
2@100 = 200 points<br />
120 points<br />
50 points<br />
50 points<br />
420 points<br />
Letter Grades: A: 90 – 100%; B: 80 – 89%; C: 70 – 79%; D: 60 – 69%; F: 59% or below.
<strong>QMB</strong> 3301 – Fall 2005 2<br />
EXAMS (320 Points)<br />
There will be two midterm exams and a final exam. The final exam will deal primarily with<br />
topics covered since the second midterm exam but familiarity with earlier topics may be<br />
needed.<br />
Make-up exams will be given at the instructor’s discretion based on valid, documented<br />
excuses, and must be arranged at least 48 hours in advance whenever possible.<br />
QUIZZES (50 Points)<br />
Announced and unannounced. You must be inside the classroom at the start of the quiz to<br />
be eligible to take the quiz.<br />
HOMEWORK (50 Points)<br />
No late homework will be accepted. Includes group based and Excel based.<br />
COURSE DROP POLICY<br />
Information on the last day to drop this course is provided in the university calendar. After<br />
this deadline, students will be dropped from a course with a grade of "F". A grade of "W"<br />
can be assigned after the deadline only under exceptional circumstances, and only with the<br />
approval of the instructor and the academic dean. In such a case, the student must petition<br />
for the "W" in writing and provide the necessary supporting documentation.<br />
ACADEMIC <strong>IN</strong>TEGRITY<br />
In the classroom and in all other academic activities, students are expected to uphold the<br />
highest standards of academic integrity. Any student who commits an act of scholastic<br />
dishonesty (copying, plagiarism, collusion, taking an examination for another person, or any<br />
such act intended to provide unfair advantage to a student or group of students) is subject<br />
to disciplinary action. Evidence of academic dishonesty may be forwarded to the Dean of<br />
Students and may result in sanctions, including possible suspension or dismissal from the<br />
University.<br />
SPECIAL ACCOMMODATIONS<br />
Should you have a documented disability and require any auxiliary aids, services, or<br />
accommodations, please see me after class or call me in order to discuss your specific needs.<br />
If you feel you may have a disability but do not have appropriate documentation, contact<br />
the Disabled Student Services Office at 747-5148, go to Room 106E Union, or e-mail:<br />
dss@<strong>utep</strong>.<strong>edu</strong>.<br />
3 TIME RULE<br />
The University and College have established rules regarding the number of times a course<br />
can be repeated and the cost of repeating courses. Typically the maximum number of times<br />
a course can be repeated is 3 (with exceptions) and the third time may require additional<br />
fees.<br />
DISRUPTIONS<br />
You are expected to be inside the classroom by the start of class and to stay in class for its<br />
duration. Please minimize class disruptions by completing bathroom visits before class time.<br />
Please turnoff your cell phone once you are in the classroom.
<strong>QMB</strong> 3301 – Fall 2005 3<br />
COURSE SCHEDULE<br />
The instructor will attempt to adhere to the course sch<strong>edu</strong>le given below, but does reserve<br />
the right to alter course content, class assignments and activities, and/or dates as deemed<br />
necessary.<br />
Week<br />
Chapter and Topic<br />
1 Ch 1. Introduction to Course/ Ch2. Linear Programming<br />
2 Ch 2. Linear Programming/ Ch 3. Sensitivity Analysis<br />
3 Ch 4. LP Applications<br />
4 Ch 5. Transportation and Assignment Problems<br />
5 Excel based Math Programming models<br />
6<br />
Mid-Term 1 Review (Tue)<br />
Mid-Term Test 1 (Thursday)<br />
7 Ch 9. Network Models/ Ch 10. Project Sch<strong>edu</strong>ling<br />
8 Ch 10. Project Sch<strong>edu</strong>ling/ Ch 12. Waiting Line Models<br />
9 Ch 12. Waiting Line Models/ Ch 13. Simulation Models<br />
10<br />
Mid-Term 2 Review (Tue)<br />
Mid-Term Test 2 (Thursday)<br />
11 Ch 14. Decision Analysis<br />
12 Ch 14. Decision Analysis/ Excel based Decision Tools<br />
13 Ch 16. Forecasting Models<br />
14 Ch 16. Forecasting Models<br />
15 Excel based Forecasting Tools<br />
Finals<br />
Weeks<br />
Final Exam. Thursday Dec 8. 7:00-9:45 PM.