Operations Research (IE 1081)
Textbook: Introduction to Operations Research, 11th Ed, Hillier & Lieberman, published by McGraw Hill
Prerequisites
Knowledge of (a) linear algebra, (b) differential calculus, and (c) basic mathematical concepts such as
sets, functions, vectors, matrices etc.An interest in mathematical methods.
Course Description
This is an introductory course in operations research (OR). The primary emphasis will be on Linear Programming (LP) and its applications (covering formulation of a number of different types of linear models, the simplex algorithm, duality and sensitivity analysis, and the transportation and assignment problems) as well as basics of Mixed Integer Programming (MIP). Other areas such as network flows, nonlinear and dynamic programming will also be covered, with the amount of emphasis depending on the time available.
The tentative order of topics is as follows:
modeling with linear programs and solving with a computer
simplex algorithm(s) to solve linear programs
duality
sensitivity analysis
basics of mixed integer programming
network models
Objectives
We will develop modeling and analysis skills in deterministic optimization, focusing primarily on linear programming. At the end of the course, students will be able to
Identify opportunities for the use of optimization.
Given a problem to optimize, identify an objective and constraints and model these correctly as a mathematical program. In particular, decide on an appropriate type of model as well as appropriate decision variables. Also, recognize problems that can be more appropriately addressed with approaches other than math programming.
Use a computer to solve a mathematical program by correctly expressing the problem as valid input for a solver and interpret the results, including sensitivity analysis.
Communicate intelligently with a coworker or boss about the limits of the model, the solution to the problem, and any corresponding analysis
Applicable ABET Outcomes
an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
Assessment
Exams: There will be a midterm and a final exam; the format and the dates of the exams to be specified later. If you must miss an exam, you should make alternative arrangements with the instructor before the exam is given. If you miss an exam without prior notification, you will receive a score of “zero” for that exam except under very unusual circumstances.
Homeworks: There will be ten homeworks. The lowest two homework grades will be dropped. Homeworks that are 1-24 hours late will incur a 10% penalty. Except in extraordinary circumstances any homework that is turned in later will get zero points and there will be no make up homeworks.
Grading: Midterm Exam 35%, Final Exam 45%, Homework 20%.
Homework collaboration: You can learn a lot from working with other people. I have no objections if you wish to study with your friends or work together on homework, in fact, you should feel free to do so! However, you must write up your homework solutions on your own without assistance from other people. This is to help you and me ensure that you understand the solutions that the group came up with. If you are ever unsure about the collaboration policy, please contact me for clarification.
Regrades: The TA grades homeworks so please raise any questions about homework grades with the TA before contacting the instructor. If you have a question about your midterm grade please come to office hours; if you wish to get a regrade of the midterm you must submit a midterm regrade request form (available on canvas). Note the whole midterm will be regraded and your score may go up or down.
Standard University Policies
Academic Integrity
All students are expected to adhere to the standards of professional conduct and academic honesty. Any student engaged in cheating, plagiarism, or other acts of academic dishonesty would be subject to disciplinary action. Any student suspected of violating this obligation for any reason during the semester will be required to participate in the procedural process, initiated at the instructor level, as outlined in the SSOE Academic Integrity Policy found at: https://www.engineering.pitt.edu/Academic-Integrity-Guidelines/.
Disability Services
If you have a disability for which you are or may be requesting an accommodation, you are encouraged to contact both your instructor and Disability Resources and Services (DRS), 140 William Pitt Union, (412) 648-7890, drsrecep@pitt.edu, (412) 228-5347 for P3 ASL users, as early as possible in the term. DRS will verify your disability and determine reasonable accommodations for this course.
Statement on Classroom Recording
To ensure the free and open discussion of ideas, students may not record classroom lectures, discussion and/or activities without the advance written permission of the instructor, and any such recording properly approved in advance can be used solely for the student’s own private use. Class will not be recorded. If students are absent they should talk with the professor on how to make up for their absence. For example, attend office hours.
Student Opinion of Teaching Surveys
Students in this class will be asked to complete a Student Opinion of Teaching Survey. Surveys will be sent via Pitt email and appear on your Canvas page during the last three weeks of class meeting days. Your responses are anonymous. Please take time to thoughtfully respond, your feedback is important to me.
Diversity and Inclusion
The University of Pittsburgh does not tolerate any form of discrimination, harassment, or retaliation based on disability, race, color, religion, national origin, ancestry, genetic information, marital status, familial status, sex, age, sexual orientation, veteran status or gender identity or other factors as stated in the University’s Title IX policy. The University is committed to taking prompt action to end a hostile environment that interferes with the University’s mission. For more information about policies, procedures, and practices, see: http://diversity.pitt.edu/affirmative-action/policies-procedures-and-practices.
I ask that everyone in the class strive to help ensure that other members of this class can learn in a supportive and respectful environment. If there are instances of the aforementioned issues, please contact the Title IX Coordinator, by calling 412-648-7860, or e-mailing titleixcoordinator@pitt.edu. Reports can also be filed online:
https://www.diversity.pitt.edu/make-report/report-form. You may also choose to report this to a faculty/staff member; they are required to communicate this to the University’s Office of Diversity and Inclusion. If you wish to maintain complete confidentiality, you may also contact the University Counseling Center (412-648-7930).
Acknowledgements
The course material was based on material developed by Dr. Prokopyev.