ENM356 Engineering Optimization

4 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM356
Name Engineering Optimization
Term 2025-2026 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. EBRU YILMAZ
Course Instructor
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
Doç. Dr. EBRU YILMAZ (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The purpose of this course is to study linear, integer and goal programming approaches and related solution techniques.

Course Content

Linear programming, Solution of linear models, Introduction to integer programming, Formulating integer programming problems, Solution of integer programming models, Branch-and-bound algorithm, Goal programming types, Formulating goal programming problems.

Course Precondition

None

Resources

1. Hillier, F. S., and Lieberman, G. J. (2001). Introduction to Operations Research, Seventh Edition, McGraw-Hill, New York, NY, 1214 pages. 2. Öztürk, A. (2009). Yöneylem Araştırması, Ekin Yayınevi, Bursa. 3. Winston, W. L. (2004). Operations Research Applications and Algorithms, Fourth Edition, Brooks/Cole Cengage Learning, Printed in Canada.

Notes

1. Hillier, F. S., and Lieberman, G. J. (2001). Introduction to Operations Research, Seventh Edition, McGraw-Hill, New York, NY, 1214 pages. 2. Öztürk, A. (2009). Yöneylem Araştırması, Ekin Yayınevi, Bursa. 3. Winston, W. L. (2004). Operations Research Applications and Algorithms, Fourth Edition, Brooks/Cole Cengage Learning, Printed in Canada.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Formulates linear programming problems seen in a service or manufacturing system.
LO02 Solves linear programming models with appropriate solution methods.
LO03 Formulates integer programming problems seen in a service or manufacturing system.
LO04 Explains how to apply branch and bound algorithm to solve integer programming models.
LO05 Formulates goal programming problems seen in a service or manufacturing system.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Acquires sufficient knowledge in mathematics, science and Industrial Engineering discipline-specific subjects; acquires the ability to use theoretical and applied knowledge in these fields in complex engineering problems. 4
PLO02 Bilgi - Kuramsal, Olgusal Acquires the ability to identify, define, formulate and analytically solve complex Industrial Engineering problems; and has the ability to select and apply appropriate analysis and modelling methods for this purpose. 5
PLO03 Bilgi - Kuramsal, Olgusal Acquires the ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; acquires the ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Acquires the ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Industrial Engineering applications and acquires the ability to use information technologies effectively. 2
PLO05 Bilgi - Kuramsal, Olgusal Acquire the skills to design and conduct experiments, collect data, analyze and interpret results to investigate complex Industrial Engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually.
PLO07 Beceriler - Bilişsel, Uygulamalı Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand effective reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Beceriler - Bilişsel, Uygulamalı They have awareness of the necessity of lifelong learning; they have the ability to access information, follow developments in science and technology, and constantly renew themselves.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Acting in accordance with ethical principles, becoming knowledgeable about the standards used in engineering practices with awareness of professional and ethical responsibility.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Learn about business practices such as project management, risk management and change management, and is aware of entrepreneurship and innovation.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Informed about the universal and societal impacts of engineering practices on health, environment and safety, and the contemporary problems reflected in the field of engineering, and is aware of the legal consequences of engineering solutions.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Benefit from the power of effective communication in professional life and has the ability to interpret developments correctly.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve integrated systems that include machines, people, time, information or money.
PLO14 Yetkinlikler - Öğrenme Yetkinliği By applying modern design methods, they have the ability to design, develop, implement and improve complex products, processes, businesses and systems under realistic conditions and constraints such as cost, environment, sustainable development, energy, manufacturability, ethics, health, safety and political issues.


Week Plan

Week Topic Preparation Methods
1 Linear programming Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
2 Linear programming examples Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
3 Linear programming examples and solution of linear models Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Introduction to integer programming Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
5 Formulating integer programming problems - I Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
6 Formulating integer programming problems - II Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
7 Solution of integer programming models, Examples related to branch-and-bound algorithm - I Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
8 Mid-Term Exam The preparation for the midterm exam Ölçme Yöntemleri:
Yazılı Sınav
9 Examples related to branch-and-bound algorithm - II Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
10 Examples related to branch-and-bound algorithm - III Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
11 Goal programming types Reading the resources related to the section Öğretim Yöntemleri:
Anlatım
12 Formulating goal programming problems - I Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 Formulating goal programming problems - II Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
14 Formulating goal programming problems - III Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
15 Critical path method Reading the resources related to the section Öğretim Yöntemleri:
Anlatım, Problem Çözme
16 Term Exam The preparation for the term exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exam The preparation for the term exam Ölçme Yöntemleri:
Yazılı Sınav


Assessment (Exam) Methods and Criteria

Current term shares have not yet been determined. Shares of the previous term are shown.
Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 06.05.2025 11:31