ENM350 Optimization Software

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

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM350
Name Optimization Software
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. MELİK KOYUNCU
Course Instructor
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
Doç. Dr. MELİK KOYUNCU (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

To develop knowledge and skills about optimization softwares

Course Content

Mathematical programming, GAMS structures, basic components of GAMS, variables, equations , Output analysis, transportation problems, production planning problem, resource allocation problem, industrial engineering cases

Course Precondition

None

Resources

GAMS Users Guide. Lingo Users Guide

Notes

Hillier and Lieberman. Introduction to Operations Research.10 th Edition. Mcgraw Hill Highered Education.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Can solve the linear models by softwares
LO02 Can solve the integer models by softwares
LO03 Can solve the binary integer models by softwares
LO04 Can analyze the network models by using softwares


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.
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. 4
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.
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. 2
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. 2
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 Basics of Mathematical Programming and Optimization Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
2 Structure of GAMS model Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
3 Fundamental components and variables at GAMS modelling Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
4 Equations, objective function and model expressions Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
5 GAMS codes Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
6 Output analysis of GAMS Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
7 Transportation problem, sets, data input and GAMS codes Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
8 Midterm exam Classical exam Ölçme Yöntemleri:
Yazılı Sınav, Sözlü Sınav
9 GAMS codes of Transportation problem with fixed cost Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
10 Production Planning examples Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
11 Resource Allocation Problem Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
12 Various Industrial engineering cases and GAMS Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
13 Applications of network models Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
14 Coding of layout nmodels Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
15 Industrial engineering cases and GAMS Reading the related chapter from textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
16 Final Exam Studying from textbook Ölçme Yöntemleri:
Yazılı Sınav, Performans Değerlendirmesi
17 Final Exam Studying from textbook Ölçme Yöntemleri:
Yazılı Sınav, Sözlü 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 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 100
Total Workload / 25 (h) 4,00
ECTS 4 ECTS

Update Time: 06.05.2025 11:31