Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
OPTIMIZATION BSM 433 7 3 + 0 3 5
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü SECMELI Dersin Koordinatörü Doç.Dr. NİLÜFER YURTAY Dersi Verenler Doç.Dr. NİLÜFER YURTAY Arş.Gör. HÜSEYİN DEMİRCİ Dersin Yardımcıları Dersin Kategorisi Dersin Amacı In this course it is aimed to form models in linear or nonlinear problems and optimize them Dersin İçeriği Form a model, linear programming, limited and unlimited optimization problems, nonlinear programming, dynamic programming and introduction to optimal control.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Form a model and to solve ability 1 - 2 - 3 - 12 - 15 - A - B - C - D - 2 - Use optimization technics 1 - 2 - 3 - 12 - 15 - A - B - C - D -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 12:Case Study 15:Problem Solving Ölçme Yöntemleri: A:Testing B:Oral Exam C:Homework D:Project / Design

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Modelling and simulation concepts
2 Linear programming
3 Graph method
MODI yönt (1)
macar algoritması_eşleme
4 Simplex method
sebekeprob
5 Duality and sensitivity analysis
6 Transport models
7 Distribution models
8 Integer programming
9 Classic optimization theory
10 Newton-Raphson method
11 Nonlinear programming
12 Unlimited algorithms
13 Limited algorithms
14 Applications

#### Kaynaklar

Ders Notu [1]Lecture Notes
Ders Kaynakları [2]Yöneylem Araştırması, Hamdy A. Taha, Prentice Hall, 2000.
[3]Optimization in operations research , Ronald L. Rardin, Upper Saddle River : Prentice Hall, 2000.

#### Döküman Paylaşımı

MODI yönt (1)
macar algoritması_eşleme
sebekeprob

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research,
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies,
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility,
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language,
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology,
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications,
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 10
KisaSinav 2 10
ProjeTasarim 1 30
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
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 5 5
Quiz 2 1 2
Project / Design 1 15 15
Final examination 1 12 12
Toplam İş Yükü 130
Toplam İş Yükü /25(s) 5.2
Dersin AKTS Kredisi 5.2
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