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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
TECHNIQUES OF OPTIMIZATIONS MKM 485 7 3 + 0 3 5
Ön Koşul Dersleri

It is recommend to have been taken/taking lineer algebra course.

Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Dr.Öğr.Üyesi ÖMER KADİR MORGÜL
Dersi Verenler
Dersin Yardımcıları

Res.Asst. Huseyin DAL

Dersin Kategorisi
Dersin Amacı

Providing students with the ability of setting up mathematical models for optimal decision, and various application areas and application of solution methods

Dersin İçeriği

Introduction and basic concepts, Unrestricted optimization.Analytical solution at the Unrestricted optimization, numerical methods and algorithms, Restricted optimization: optimization under the equality restricts, Optimization under the equality and inequality restricts, Optimization under the special restricts. Lineer programming (LP) and applications.

Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Students can explain basic concepts about optimization 1 - 2 - 3 - A - C -
2 - Students can gain ability of setting up models, solving and applying them to various problems in order to take optimal decision 1 - 2 - 3 - A - C -
3 - Students can produce algorithm at the unrestricted optimization 1 - 2 - 3 - A - C -
4 - Students can produce algorithm at the restricted optimization 1 - 2 - 3 - A - C -
5 - Students can make analytic or numeric analysises 1 - 2 - 3 - A - C -
6 - Students can use linear programming 1 - 2 - 3 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction, basic concepts
2 Unrestricted optimization
3 Numerical methods at the Unrestricted optimization
4 Numerical methods at the Unrestricted optimization
5 Numerical methods at the Unrestricted optimization
6 Optimization under the equality restricts
7 Optimization under the equality restricts
8 Optimization under the equality and inequality restricts
9 Optimization under the equality and inequality restricts
10 Optimization under the equality and inequality restricts
11 Optimization and application under special restricts
12 Lineer programming (LP)
13 Set up of a model, graphic method
14 Simplex method and LP applications

Kaynaklar

Ders Notu

[1] Ders notları, Ömer K. MORGÜL.

Ders Kaynakları

[1] M.A. Bhatti, Practical Optimization Methods, with Mathematica Applications, Springer-Verlag New York, Inc., 2000.
[2]R. Fletcher, Practical Methods of Optimization, Second Edition, John-Wiley and Sons Ltd., Chichester, New York, 1987.
[3]A.Wismer, R. Chattergy, Introduction to Nonlinear Optimization, A Problem Solving Approach, Elseiver North-Holland,Inc.,New York, 1978.
[4] Bal H., Optimizasyon Teknikleri, Gazi Üniversitesi, Yayın No 207,(F.E.F.Yayın No29), 1995.


Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice X
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. X
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies X
5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions X
6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue X
7 The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence X
8 Ability for effective oral and official communication skills in Turkish Language and, at minimum, one foreign language X
9 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology X
10 Engineering graduates with well-structured responsibilities in profession and ethics X
11 Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
KisaSinav 1 20
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 6 6
Quiz 2 2 4
Assignment 1 8 8
Final examination 1 10 10
Toplam İş Yükü 124
Toplam İş Yükü /25(s) 4.96
Dersin AKTS Kredisi 4.96
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