TÜRKÇE
ENGLISH
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 | ||