MT474 Optimization

5 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Code MT474
Name Optimization
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ZERRİN GÜL ESMERLİGİL


Course Goal

To give analytical thinking and problem-solving skills to the students by means of learning and application of the optimization methods

Course Content

Introduction to Optimization, Unconstrained Optimization, Constrained Optimization with given equality Kuhn-Tucker Conditions

Course Precondition

None

Resources

Matematiksel Optimizasyon Prof.Dr. Abbas AZİMLİ

Notes

Lecture Notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Gives students the analytical thinking and problem solving skills.
LO02 Provides insights to the importance of the optimum solution in mathematical problems.
LO03 Provides the learning of methods for the solution of unconstrained and constrained optimization problems.
LO04 Develops the ability to apply different optimization algorithms to relevant problems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Comprehend the ability to prove the mathematical knowledge gained in secondary education on the basis of theoretical basis. 4
PLO02 Bilgi - Kuramsal, Olgusal Understands importance of basic consepts of Algebra, Analaysis and Topology. 4
PLO03 Yetkinlikler - Öğrenme Yetkinliği Mathematical reasoning demonstrates the ability to develop and write mathematical proofs by gaining maturity. 4
PLO04 Bilgi - Kuramsal, Olgusal Demonstrate the ability to express the basic theories of mathematics both correctly. 3
PLO05 Bilgi - Kuramsal, Olgusal Understands the relationship between the different fields of mathematics and its relation to other disciplines. 5
PLO06 Bilgi - Kuramsal, Olgusal Comprehends the ability to understand the relationships between the objects in the most understandable way while creating a model for any problem. 5
PLO07 Bilgi - Kuramsal, Olgusal Comprehend and explain mathematical models such as formulas, graphs, tables and schema. 4
PLO08 Bilgi - Kuramsal, Olgusal Demonstrate the ability to mathematically rearrange, analyze, and model the problems they encounter. 3
PLO09 Bilgi - Kuramsal, Olgusal Comprehends at least one of the computer programming languages. 4
PLO10 Bilgi - Kuramsal, Olgusal Demonstrate the ability to use scientific methods and appropriate technologies effectively in problem solving. 3
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Understands sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği In addition to their professional development, they demonstrate their ability to continuously improve themselves by identifying their educational needs in scientific, cultural, artistic and social areas in line with their interests and abilities. 4
PLO13 Yetkinlikler - Öğrenme Yetkinliği Understands the programming techniques and shows the ability to do programming. 4
PLO14 Yetkinlikler - Öğrenme Yetkinliği Demonstrates the ability to study mathematics both independently and as a group. 5
PLO15 Bilgi - Kuramsal, Olgusal Demonstrate an awareness of the universal and social impacts and legal consequences of mathematical applications in the field of study.
PLO16 Bilgi - Kuramsal, Olgusal Demonstrate the ability to select, use and develop effectively for contemporary mathematical applications. 3
PLO17 Bilgi - Kuramsal, Olgusal It has ability of lifelong learning awareness, access to information, monitoring developments in science and technology and self-renewal ability. 3
PLO18 Bilgi - Kuramsal, Olgusal Gains the ability to use information technologies effectively for contemporary mathematical applications.
PLO19 Bilgi - Kuramsal, Olgusal Gains the ability to design, conduct experiments, field work, data collection, analysis, archiving, text solving and / or interpretation according to mathematics fields. 4
PLO20 Bilgi - Kuramsal, Olgusal Gains the consciousness of prefesional ethics and responsibility. 5


Week Plan

Week Topic Preparation Methods
1 Introduction to Optimization I Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
2 Introduction to Optimization II Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
3 Unconstrained Optimization I Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
4 Unconstrained Optimization II Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
5 Constrained Optimization with given equality I Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
6 Constrained Optimization with given equality II Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
7 Solving Problems Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
8 Mid-Term Exam Mid-term exam Preparation Ölçme Yöntemleri:
Yazılı Sınav
9 Unconstrained Optimization with given inequality I Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
10 Unconstrained Optimization with given inequality II Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
11 Kuhn-Tucker Conditions I Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
12 Kuhn-Tucker Conditions II Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
13 Duality Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
14 Solving Problems I Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
15 Solving problems II Read the relevant chapter in the book and discussion Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama, Problem Çözme
16 Term Exams Final exam preparation Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Final exam preparation 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 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS