ISL372 Operations Research
Course Description
This is a study of Management Science (MS) approaches in organization. You will gain an understanding of modeling and rational approaches to decision making and their contribution to organizational effectiveness. Analysis and communication are emphasized by using real world applications and cases. Topics include linear programming (LP), integer programming (ILP), transportation and assignment problems, network models (eg. maximal flow problems), project management, queuing models, simulation and decision analysis applied to tactical and strategic business decisions in functional areas and interfaces among these areas. Implementation using existing software packages of decision models to solve various managerial problems is an integrated part of this course.
Course Objectives
Upon completing this course, you should be able to:
Required Textbook
Additional References
Software
We will use R to gain a good "hands-on" experience on concepts and techniques used in this course. These experimentations will enhance your understanding of the technical concepts covered in this course. However, MS Excel will be introduced by the textbook. So you can choose one of these (or both) to use in this course: OpenSolver for Excel: The Open Source Optimization Solver for Excel; Linprog R package; Linear programming in R using lpsolve; Simplex Method for Linear Programming Problems; CRAN Task View: Optimization and Mathematical Programming; Introducing simmer: Discrete Event Simulation for R.
Related Links:
Lecture Slides
Lecture slides will be followed up on the course schedule at the bottom of this page.
Website
Student will get a letter at the end of the semester. This grade will reflect his/her personal academic performance in this semester. Additional works to gain some points may be accepted. Course evaluation is totally and only related to student’s course performance and course-based academic performance.
Some assignments and quizzes may be awarded by instructor with a couple of extra points. Additional bonus points may be given in midterm and final examinations. Participation is not attendance. Instructor may evaluate your in-class performance and give credits free from your other gained points.
You can also measure your overall performance according to the Evaluation System by Letter.
Grading Items
Item | Percentage |
---|---|
Quizzes, Assignments, and Participation | 30% |
Midterm exam | 35% |
Final exam | 35% |
Total | 100% |
Grading Scale
Point* | Point** | Grade |
---|---|---|
90-100 | 92-100 | AA |
85-89 | 83-91 | BA |
80-84 | 74-82 | BB |
75-79 | 65-73 | CB |
70-74 | 56-64 | CC |
65-69 | 47-55 | DC |
60-64 | 38-46 | DD |
0-59 | 0-37 | FF |
* As in Article 27 of TOBB ETU Student Regulations.
** Revised grading scale for this course.
Assignments and Quizzes
There will be several assignments during the semester, and you will receive credit for simply completing them correctly. The quizzes may cover any material discussed in class or assigned in the text. The quiz will be given at the end of class. There will no make-up quiz.
Exams
Your examinations are closed-book and closed-notes. However, I may add a help-sheet to the examination question paper. Bring in a scientific calculator when taking your examinations. Devices are not permitted other than a calculator.
The exams are not in any particular format so expect both standard numerical problem solving and conceptual type questions. The exams will test your understanding of the material covered in this course. The main objective is to find out how reflective you are in answering the questions correctly, subject to a limited time constraint.
Exam papers will be available to check for 5 days following the announcement of exam points. Please check your exam paper!
Responsibilities and Academic Honesty
You have a responsibility to yourselves, your fellow classmates, and me, as an instructor, to come prepared and to participate in classroom discussions. You are responsible for all material presented in class whether or not they are presented. This material includes the lectures and discussions.
Cheating of any type will not be tolerated. Anyone caught plagiarizing, copying from other students, or allowing others to copy his or her work will receive a grade of "0" on the relevant assignment, quiz, or exam. In certain cases additional penalties may be applied as provided by university regulations.
Week | Session and Title | Reading | Assignment | Quiz | Slide |
---|---|---|---|---|---|
1 | A The Beginning B Introduction to Management Science |
- Chapter 1 |
The Beginning Introduction to Management Science | ||
2 | A Linear Programming (LP): An Introduction B LP:Modeling |
Chapter 2 - |
Linear Programming | ||
3 | A LP: Sensitivity Analysis B LP:Creating Computer Solutions |
Chapter 3 - |
Assignment 1 | ||
4 | A LP: Applications B LP: Advanced Applications |
- - |
Quiz 1 | ||
5 | A Integer Linear Programming (ILP): An Introduction B ILP: Binary Variables |
Chapter 7 - |
Assignment 1 Due | ||
6 | A Distribution Models B Network Models |
Chapter 6 - |
|||
7 | A Project Scheduling Fundamentals and PERT B CPM |
Chapter 9 - |
Assignment 2 | ||
8 | A Waiting Line Models B Basic Queueing Models |
Chapter 11 - |
Quiz 2 | ||
9 | A Queueing Analysis B |
- - |
Assignment 2 Due | ||
10 | A Introduction to Simulation B Simulating Real Life Situations |
Chapter 12 - |
Assignment 3 | ||
11 | A Simulation Analysis B Introduction to Decision Analysis |
- - |
|||
12 | A Decision Making Under Certainty B Decision Making Under Uncertainty |
Chapter 13 - |
Assignment 3 Due |
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