MAROUN SEMAAN FACULTY OF ENGINEERING AND ARCHITECTURE DEPARTMENT OF INDUSTRIAL ENGINEERING AND MANAGEMENT COURSE SYLLABUS INDE 302 Operations Research Fall 2024- 2025

General Course Information

Table 1: Overview of Course Information

General Information

Course Number	INDE 302
Course Title	Operations Research
Number of Credits	3
Course Level	Undergraduate
Course Format	Face-to-Face
Pre-requisite Courses	Math 218 or Math 219
Required/Elective	Required
Meeting Schedule
Meeting Location

Course Coordinator, Instructors and Teaching Assistants

Table 2: Contact Information for Course Coordinators, Instructors, and Teaching Assistants

Name	Role (Instructor, Coordinator, TA,)	Office Location	Office Hours	Extension	E-mail
Majd Olleik	Instructor

Course Description

This course is an introduction to an operations-research approach to engineering decision-making. It includes the formulation, solution, interpretation, and implementation of mathematical models such as linear programs (LP) and integer linear programs (ILP).

Course Learning Outcomes

Upon completion of the course, students will be able to:

CLO1. Understand the OR methodology of mathematical modeling

CLO2. Develop mathematical models for real problems

CLO3. Understand Linear Programming (LP) and how it is used in mathematical modeling

CLO4. Learn the basic theory behind LP

CLO5. Understand and use the simplex method, the main tool for solving LPs, by hand, and using computer software

CLO6. Understand the concept of duality and its economic interpretation

CLO7. Perform post-optimality analysis and use it to gain insights into the real system

CLO8. Be familiar with logical constraints and how they can be translated into linear constraints using binary and integer decision variables

CLO9. Formulate integer linear programs and mixed integer linear programs and get introduced to solution approaches

CLO10.

CLO11.

CLO12.

CLO13.

CLO14.

CLO15.

Program Learning Outcomes Addressed in The Course

Explicitly indicate which of the program learning outcomes are addressed in the course.

PLO1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.

PLO2.

PLO3.

PLO4.

PLO5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objective.

PLO6.

PLO7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

PLO8.

PLO9.

PLO10.

PLO11.

PLO12.

PLO13.

PLO14.

PLO15.

Course Resources and References

Indicate textbook title, author, and year. Include a link to the Moodle page or the course web page.

Book: Hamdy S. Taha, Operations Research: An introduction, tenth editionA Moodle page for the course is available.

Course Outline

Include the topics covered and learning activities (assignments, projects, term papers, etc.) with their due dates. Indicate the alignment of topics/ learning activities with the Course Learning Outcomes.

Table 3: Course Schedule Overview

Week	Date	Topic	Learning Activities and Due Dates	Alignment with CLOs
1	Introduction to math modeling and LP	CLO1
2	LP graphical method and graphical motivation for the simplex method	CLO3, CLO4
3	The simplex method in tabular form and its variants	CLO4, CLO5
4	Modeling examples	HW1 due (19 Sep)	CLO2
5	Simplex method in matrix form (revised simplex method)	CLO5
6	Duality and its economic interpretation	CLO6
7	Review (Team-based)	Midterm Exam (12 Oct - 10 am)
8	Dual simplex method	HW2 due (15 Oct)	CLO7
9	Sensitivity (post-optimal) analysis	CLO7
10	ILP formulation	HW3 due (31 Oct)	CLO8
11	Logical constraints	CLO8
12	Modeling examples	CLO2, CLO9
13	ILP branch and bound	HW4 due (21 Nov)	CLO9
14	Review	Project due (25 Nov)
15

Indicate mode of delivery as Lecture, Recitation, Laboratory, Team-based Learning, etc.

Include all methods for assessing student achievement, including assessment rubrics for evaluating the learning activities.

Grading Criteria

Table 4:Evaluation Criteria and Percentage

Type of Evaluation	Percentage
Assignments	16
Project	16
Midterm	30
Final Exam	35
Class participation	3
Total	100%

Course Policies

Attendance

For undergraduate courses:

“Students who miss more than one-fifth of the sessions of any course prior to the withdrawal deadline can be withdrawn from the course by the instructor.”

For graduate courses:

“A student who is absent without excuse for more than one third of the number of sessions in any course may be dropped by the instructor of the course”.

Credit Hour Policy

“This course follows AUB Credit Hour Policy for one credit courses. This course meets twice weekly for 3 academic hours per week. The course also includes independent out-of-class assignments for academic hours per week.”

Submissions and Due Dates

Students can communicate with the instructor via email for any additional concern. Answers to reasonable requests should not be expected earlier than 48 business hours from the request time.

Missing Projects/Assignments

A group-based project will be assigned to you during the semester. You will be expected to formulate a linear optimization model based on a case study, then to solve it using a solver that runs with Python. Additional details will be provided in due course.

Final Examinations:

Please note that students are expected to be on-campus and available to take a final examination for any of their courses at anytime during the final examination period. Students and professors will be notified of the final examination schedule being posted on the Office of the Registrar website as soon as feasible after the change of schedule period (drop and add).

Make-up Quizzes and Exams

The proper formats of the midterm and final exams will be communicated to the students in due time. Students are not allowed to miss an exam except for a valid medical excuse.Please note that students are expected to be on-campus and available to take a final examination for any of their courses at anytime during the final examination period as set by the registrar in the university calendar for the current academic year. Students and professors will be notified of the final examination schedule being posted on the Office of the Registrar website as soon as feasible after the change of schedule period (drop and add).

Group Work

A group-based project will be assigned to you during the semester. You will be expected to formulate a linear optimization model based on a case study, then to solve it using a solver that runs with Python. Additional details will be provided in due course.

Teaching Strategies and Technology Tools

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Use of AI in the Course

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University Rules and Regulations

General Academic Information

Undergraduate Academic Information

Graduate Academic Information

University - Course Withdrawal Policy

A student can withdraw from only one required course per semester. Students who wish to withdraw from more than one required course in any given semester must petition the appropriate faculty committee for permission to do so. Check Withdrawal Information from undergraduate and graduate catalogue.

Academic Integrity (cheating and plagiarism)

Please refer to AUB Student Code of Conduct, in particular section 1.1, which concerns academic misconduct including cheating, plagiarism, in-class disruption, and dishonesty. Please be aware that misconduct is vigorously prosecuted and that AUB has a zero tolerance policy. Course policy is that credible evidence of cheating will result in course failure.

Accessibility Statement to Acknowledge the Unique Learning Needs of Students with Disabilities

AUB strives to make learning experiences as accessible as possible. If you anticipate or experience academic barriers due to a diagnosed disability (including learning disability, mental health, chronic or temporary medical conditions), please contact the Accessible Education Office as soon as possible in order to help establish reasonable accommodations and facilitate a smooth learning process: accessibility@aub.edu.lb; +961-1-350000, x3151; West Hall, 338.

Failure to implement the accommodations provided by the Accessible Education Office constitutes a violation of AUB's non-discrimination policy, and may be reported to the Equal Opportunity Officer/Title IX Coordinator who also serves in the role of Section 504 Coordinator, at 01-350000 ext. 2514, titleix@aub.edu.lb.

Non-Discrimination and Anti-Discriminatory Harassment, including Sexual Harassment at AUB https://www.aub.edu.lb/President/oeo-titleix/Pages/syllabus.aspx

In line with its commitment to the principle of equal opportunity in admission, education, and employment, AUB policies protect you from discrimination and discriminatory harassment, including sex discrimination and sexual harassment, in alignment with the objectives of Title IX of the U.S. Education Amendments of 1972.

The policies are applicable to all the AUB Community including: officers, faculty, staff, academic appointees, students (including medical interns and residents), visiting students, alumni, trainees, visitors, contractors, subcontractors, suppliers, located on campus and at AUB Medical Center, Advancing Research Enabling Communities Center (AREC), or any other facility or program affiliated with the University. The “AUB Community" also includes the dependents and domestic employees of faculty and staff dwelling on campus and at AREC.

If you think you have experienced discrimination, discriminatory harassment, or sexual harassment, we encourage you to inform the Title IX Coordinator, Mitra Tauk at 01-350000 ext. 2514, titleix@aub.edu.lb, report to a Title IX deputy at your faculty or at any other faculty (www.aub.edu.lb/titleix), or report online (www.aub.ethicspoint.com).

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AUB Grading System

https://www.aub.edu.lb/Registrar/Pages/academic-information.aspx

Numeric Course Grade to Letter Course Grade Grade Conversion Chart Table 5:Numeric Course Grade to Letter Course Grade Table 6: Grade Conversion Chart Starting with Numeric Course Grade /100 Corresponding Course Letter Grade Course Letter Grade Quality Points < 60 F A+ 4.3 60 D A 4.0 61–62 D+ A– 3.7 63–65 C– B+ 3.3 66–68 C B 3.0 69–71 C+ B– 2.7 72–74 B– C+ 2.3 75–78 B C 2.0 79–82 B+ C– 1.7 83–86 A– D+ 1.3 87–92 A D 1.0 93–100 A+ F 0.0

Note: The GPA at AUB is capped at 4.0​​

I ​P ​PR ​W NP ​Incomplete ​Pass ​In Progress ​Withdraw ​No Pass