ENM210 Introduction to Modeling and Optimization

4 ECTS - 2-1 Duration (T+A)- 4. Semester- 2 National Credit

Information

Code ENM210
Name Introduction to Modeling and Optimization
Term 2023-2024 Academic Year
Semester 4. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. YUSUF KUVVETLİ
Course Instructor Doç. Dr. YUSUF KUVVETLİ (A Group) (Ins. in Charge)


Course Goal / Objective

To Define industrial problems and optimize them by using mathematical modelling techniques

Course Content

Identification of industrial problems, establishment of metamatic models, optimum solution derivation and sensitivity analysis by existing computer package programs to established models.

Course Precondition

None

Resources

Esin, A. & Şahin S.T. (2012). Yöneylem Araştırmasında Yararlanılan Karar Yöntemleri. 5. Baskı, Gazi Kitabevi, ISBN: 978-975-8640-79-9.

Notes

Taha, H. A. (2010). Yöneylem Araştırması, Çev. Baray, ŞA ve Esnaf Ş., Literatür Yayınları, 43, 905. Öztürk, A. (2015). Yöneylem araştırmasına giriş. Ekin Basım Yayın Dağıtım. Winston, W. L., & Goldberg, J. B. (2004). Operations research: applications and algorithms (Vol. 3). Belmont^ eCalif Calif: Thomson/Brooks/Cole.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Identification of optimization problems
LO02 Verbal description of the problem
LO03 Construct the mathematical model
LO04 Graphical solution of mathematical models
LO05 Graphical solution method to nonlinearl programming models
LO06 Model building and solution derivation in LINGO package program


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems. 4
PLO02 Bilgi - Kuramsal, Olgusal Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. 4
PLO03 Bilgi - Kuramsal, Olgusal Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose. 5
PLO04 Bilgi - Kuramsal, Olgusal Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively. 3
PLO05 Bilgi - Kuramsal, Olgusal Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. 4
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 orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
PLO08 Beceriler - Bilişsel, Uygulamalı Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves.
PLO09 Yetkinlikler - Öğrenme Yetkinliği Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation.
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. 4
PLO12 Yetkinlikler - Öğrenme Yetkinliği They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly. 3
PLO13 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money. 5
PLO14 Yetkinlikler - Öğrenme Yetkinliği Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues. 4


Week Plan

Week Topic Preparation Methods
1 What is optimization Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Beyin Fırtınası, Örnek Olay
2 Identification of optimization problems Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Verbal description of the problem Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
4 Construct the mathematical model Reading lecture notes and references about the subject Öğretim Yöntemleri:
Soru-Cevap, Anlatım, Alıştırma ve Uygulama
5 Graphical solution of mathematical models Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Örnek Olay, Problem Çözme
6 Linear programming (introduction) Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap
7 Linear programming Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap
8 Mid-Term Exam Study for exam Ölçme Yöntemleri:
Yazılı Sınav
9 Simplex method Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma
10 Dual simplex method Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
11 Big-M method Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
12 Sensitivity analysis Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Tartışma, Alıştırma ve Uygulama
13 Model building and solution derivation in LINGO package program Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
14 Sensitivity analysis in LINGO program Reading lecture notes and references about the subject Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
15 Sample optimization applications To find optimum solutions for industrial application problems Öğretim Yöntemleri:
Örnek Olay
16 Term Exams Study for exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Study for exam Ölçme Yöntemleri:
Yazılı Sınav


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 1 2 2
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 111
Total Workload / 25 (h) 4,44
ECTS 4 ECTS

Update Time: 09.05.2023 02:17