Name: Dr. Scott Clary


Phone: (407) 356-4023

Fax: (413) 473-3923



This course has been designed to provide students with an understanding of major topics in operations research and management science. The material covered in this course will focus primarily on the following stochastic (probabilistic) OR topics: decision analysis, game theory, inventory models, Markov Chains, queuing theory, and simulation models. The course will avoid excessive theoretical formulas in favor of word problems and interesting problem applications. Links to additional theory related subject matter will be provided should the student desire to explore this area further.

Required Textbook

Operations Research:  An Introduction, 10th Edition (U.S. Version not Global Version)

By Hamdy A. Taha, 2017, Pearson - ISBN 9780134444017 (Hard Copy) or ISBN 9780137526567 (eText)

Optional Supplemental Textbook (not required)

OPERATIONS RESEARCH: Applications and Algorithms, 4th Edition

By Wayne L. Winston, 2004, Wadsworth, Inc. - ISBN 0-534-38058-1 (with LINDO software)

Classic Operations Research Textbook now out of print, but still available (please don't pay more than $40 for it)



Student Version of LINDO.  LINDO is available as part of the textbook package, or can be purchased separately directly from LINDO Systems, Inc. at:


At least one upper-level undergraduate math course, preferably probability and statistics.


Your course grade will be determined by your level of participation, your homework assignments, and the weighted average of the three examination grades based on the following scale:

Percentage Letter Grade:

90 - 100 A

80 - 89 B

70 - 79 C

60 - 69 D

Below 60 F

Weight Item:

25% Exam 01

25% Exam 02

25% Exam 03

25% Homework/Participation

In this course, some level of class interaction (via the CANVAS Online Course System tools) will be required. Failure to interact with the class will adversely affect the homework and participation portion of your grade.


Some, if not all, exams may require a proctor. If a proctor is required, the instructor will provide details on how a proctor is to be identified.


Cyberspace - using the Canvas course delivery system.


None - discussion board and e-mail will be the primary method of class interaction.


We will see how it goes. My goal is to have you learn the material, not to meet a schedule, and I reserve the right to make adjustments as necessary.

Week 01: Introduction and Exchange Biosketches

Week 02a: Modeling with Linear Programming

Week 02b: Goal Programming

Week 03a Deterministic Dynamic Programming

Week 03b Inventory Modeling

Week 04: Exam 01 (Off-Line Take Home)

Week 05a: Review of Basic Probability

Week 05b: Decision Analysis and Games

Week 06 Probabilistic Inventory Models

Week 07: Markov Chains

Week 08: Exam 02 (Off-Line Take Home)

Week 09: Queuing Systems

Week 10: Simulation Modeling

Week 11: Exam 03 (Off-Line Take Home) 


There are no projects required in this course.


There are no additional mandatory readings.

Other Items


Unless otherwise specified, homework assignment submissions are due the Wednesday of the week that they are assigned (e.g., week 02's assignment will be due on Wednesday, August 28).

Homework submissions should be uploaded as a PDF or MS Office document to the course website (preferred), faxed, or scanned and e-mailed directly to me.

I am not particular about homework format. Don't waste a lot of time trying to format it in WORD or EXCEL (unless you really want to). Doing it by hand with pencil and paper is fine.  Make sure that it is dark enough to scan legibly.

Homework is IMPORTANT!!! -- Some is better than none, and late is better than never.

Academic Honesty Definitions & Procedures:  Located in the student handbook at

Title IX Statement:  The university’s Title IX policy is available at

Title IX of the Education Amendments of 1972 is a federal civil rights law that prohibits discrimination on the basis of sex in federally funded education programs and activities.  Florida Institute of Technology policy also prohibits discrimination on the basis of sex.

Florida Tech faculty are committed to helping create a safe learning environment for all students that is free from all forms of discrimination and sexual harassment, including sexual assault, domestic violence, dating violence, and stalking. If you, or someone you know, have experienced or is experiencing any of these behaviors, know that help and support are available.

Florida Tech strongly encourages all members of the community to take action, seek support, and report any incident of sexual harassment or gender discrimination to

Dennis Kwarteng, Title IX Coordinator
Phone: 321-309-3068
Office: John E. Miller Office Bldg (401QAD), Room: 137
Please note that as your professor, I am required to report any incidents to the Title IX Coordinator. 

If you wish to speak to an employee who does not have this reporting responsibility, please contact the Student Counseling Center at 321-674-8050.

Academic Accommodations:  Florida Tech is committed to equal opportunity for persons w/disabilities in the participation of activities operated/sponsored by the university. Therefore, students w/documented disabilities are entitled to reasonable educational accommodations. The Office of Accessibility Resources (OAR) supports students by assisting w/accommodations, providing recommended interventions, and engaging in case management services.  It is the student’s responsibility to make a request to OAR before any accommodations can be approved/implemented.  Also, students w/approved accommodations are encouraged to speak w/the course instructor to discuss any arrangements and/or concerns relating to their accommodations for the class. 

Office of Accessibility Resources (OAR):

Phone: 321-674-8285

Recording Disclosure (Privacy Waiver): This course may be recorded for use by students and/or faculty. Enrolled students are subject to having their images and voices recorded during the classroom presentations, remote access learning, online course discussions, and remote office hours/meetings. Course participants should have no expectation of privacy regarding their participation in this class.  Recordings may not be reproduced, shared with those not registered in the courses, or uploaded to other online environments.  All recordings will be deleted at the conclusion of the academic term.