Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
OPERATIONAL RESEARCH III (NONLINEAR MODELS) ENM 312 6 3 + 0 3 5
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Doç.Dr. ÖZER UYGUN Dersi Verenler Dersin Yardımcıları Res.Asst. Sena Kır, Res.Asst.Alper Kiraz, Res.Asst.Murat Sarı Dersin Kategorisi Dersin Amacı Providing students with the basics of modeling and solution techniques Dersin İçeriği How can a model can be settled to achieve specified objectives with considering enterprise limited resource constraints and determination of the solution techniques according structure of the model
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - An ability of determining the enterprise resources 1 - 3 - 4 - A - C - 2 - Comprehending structure of the linear model 1 - 2 - 3 - 4 - 6 - 15 - A - C - 3 - Comprehending solution techniques of the linear models 1 - 2 - 3 - 4 - 6 - A - C - 4 - An ability of determining the optimization problem 1 - 2 - 3 - 12 - 15 - A - C - 5 - An ability of establishing nonlinear model 1 - 3 - 4 - 12 - 15 - A - C - 6 - Comprehending solution techniques of the nonlinear model 1 - 2 - 3 - 12 - 15 - A - C - 7 - Examples on nonlinear problems 1 - 2 - 4 - 12 - 13 - 15 - A - C -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 4:Drilland Practice 6:Motivations to Show 15:Problem Solving 12:Case Study 13:Lab / Workshop Ölçme Yöntemleri: A:Testing C:Homework

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to Non- Linear Models
2 Concav and Convex Functions
3 Newton Method
4 Golden Section Search Metod
5 Gradyan (Steepest Descent ) Metod
6 Lagrange Metod
7 Kuhn-Tucker Conditions
9 Separable Programming
10 Midterm Exam
11 Convex Programming(Frank-Wolf Alg.)
12 Non-Convex Programming(Barrier Method-SUMT)
13 Dinamic Programming(Probabilistic)
14 Goal programming

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
8 Engineering graduates with well-structured responsibilities in profession and ethics
9 Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
10 Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
11 Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 15
KisaSinav 2 15
Odev 1 20
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

#### AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Quiz 2 10 20
Assignment 1 10 10
Final examination 1 15 15
Toplam İş Yükü 156
Toplam İş Yükü /25(s) 6.24
Dersin AKTS Kredisi 6.24
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