Industrial and Systems Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: ISE033
Course Name: Operations Research Modeling Applications
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Prof. Dr. ALİREZA AMİRTEİMOORİ
Course Lecturer(s): Dr. Öğr. Üy. EMRE ÇAKMAK
Course Assistants:

Course Objective and Content

Course Objectives: This course aims to provide necessary information for mathematical optimization and its applications. It also aims to teach students how to use AMPL, a mathematical modeling language, for solving mathematical programming problems.
Course Content: An elective course which covers applications of operations research (OR) with a focus on mathematical optimization. Topics include but not limited to: Linear Programming, the Simplex Method, mathematical modeling using AMPL, and advanced features of AMPL.

Learning Outcomes

The students who have succeeded in this course;
1) To identify whether a given problem can be formulated as a linear program
2) To formulate a given optimization problem as a linear program
3) To solve a given linear optimization problem using the Simplex method
4) To be able to solve small-sized optimization problems using AMPL
5) To have a brief knowledge of applications of operations research

Course Flow Plan

Week Subject Related Preparation
1) Introduction to Optimization
2) Linear Programming
3) Linear Programming
4) Simplex Method
5) Simplex Method
6) Introduction to AMPL
7) Production Models using AMPL: Maximizing profits
8) Midterm Exam
9) Diets, Blending, and Scheduling Models using AMPL: Minimizing costs
10) Transportation, Assignment, and Minimum-Cost Flow Models using AMPL
11) Multicommodity and multiperiod models using AMPL
12) Simple Sets and Indexing in AMPL
13) Specifying Data in AMPL
14) Network Linear Programs using AMPL
15) Final Exam
16) Final exam

Sources

Course Notes / Textbooks: AMPL: A Modeling Language for Mathematical Programming by Robert Fourer, David M. Gay, and Brian W. Kernighan, Second edition
References: Frederik S. Hillier, Gerald J. Lieberman, Introduction to Operations Research, McGraw Hill

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5
Program Outcomes
1) Acquires sufficient accumulation of knowledge in natural and applied sciences, engineering and technology, and has the ability to design, and identify/formulate/solve problems related to, complex manufacturing and service systems using this knowledge. 2 2 3 2 1
2) Possesses the ability to select and apply appropriate methods for analysing integrated systems comprising humans, knowledge, raw materials and energy; to acquire, process and interpret data; and to reach conclusions using her/his engineering skills. 3 3 2 3 3
3) Has the ability to select and efficiently use engineering design principles along with appropriate analytical, computational and experimental engineering techniques in order to optimize outputs related to various systems under realistic constraints. 3 2 2 2 2
4) Possesses the skills to select from among and efficiently use modern technologies, equipment, software and software languages in applications related to her/his respective field. 3 3 2 2 2
5) Possesses the ability to produce industry-focused solutions that are able to contribute to social health, safety and welfare, while being cognizant of global, cultural, societal, economical and environmental matters.
6) Has the awareness to take decisions ethically, professionally and without overlooking her/his legal responsibilities in situations related to her/his professions.
7) Has the awareness about contemporary issues such as sustainability, entrepreneurship and innovation; and the ability to comprehend the impacts of these notions on her/his profession.
8) Has the skills to communicate and make presentations to a level that will allow her/him to effectively make an exchange of information and experience both verbally and in written and with various communities related to her/his area.
9) Is able to use a foreign language at least at B1 level, measured in terms of the European Language Portfolio criterion.
10) In cognizance of life-long learning, possesses the ability to follow and adapt to changes that may arise in her/his field and reflect them into her/his profession. 3 2 1 2 1
11) Has the ability to work efficiently in interdisciplinary projects, be open to collaboration and take initiative when necessary, manage risks, plan activities and develop strategies. 2 2 2 1 2
12) She has the ability to follow new approaches in the field of human-machine interaction and artificial intelligence and apply them to problems in her field.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Acquires sufficient accumulation of knowledge in natural and applied sciences, engineering and technology, and has the ability to design, and identify/formulate/solve problems related to, complex manufacturing and service systems using this knowledge. 2
2) Possesses the ability to select and apply appropriate methods for analysing integrated systems comprising humans, knowledge, raw materials and energy; to acquire, process and interpret data; and to reach conclusions using her/his engineering skills. 3
3) Has the ability to select and efficiently use engineering design principles along with appropriate analytical, computational and experimental engineering techniques in order to optimize outputs related to various systems under realistic constraints.
4) Possesses the skills to select from among and efficiently use modern technologies, equipment, software and software languages in applications related to her/his respective field. 2
5) Possesses the ability to produce industry-focused solutions that are able to contribute to social health, safety and welfare, while being cognizant of global, cultural, societal, economical and environmental matters. 3
6) Has the awareness to take decisions ethically, professionally and without overlooking her/his legal responsibilities in situations related to her/his professions.
7) Has the awareness about contemporary issues such as sustainability, entrepreneurship and innovation; and the ability to comprehend the impacts of these notions on her/his profession.
8) Has the skills to communicate and make presentations to a level that will allow her/him to effectively make an exchange of information and experience both verbally and in written and with various communities related to her/his area.
9) Is able to use a foreign language at least at B1 level, measured in terms of the European Language Portfolio criterion.
10) In cognizance of life-long learning, possesses the ability to follow and adapt to changes that may arise in her/his field and reflect them into her/his profession.
11) Has the ability to work efficiently in interdisciplinary projects, be open to collaboration and take initiative when necessary, manage risks, plan activities and develop strategies.
12) She has the ability to follow new approaches in the field of human-machine interaction and artificial intelligence and apply them to problems in her field.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 4 % 20
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 13 0 3 39
Study Hours Out of Class 13 0 1 13
Homework Assignments 4 0 10 40
Midterms 1 8 2 10
Final 1 18 2 20
Total Workload 122