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QMB 3301– 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.

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