IEM1825 Optimization Theory

8 ECTS - 4-0 Duration (T+A)- . Semester- 4 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (PhD)
Code IEM1825
Name Optimization Theory
Term 2024-2025 Academic Year
Term Fall and Spring
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ERSİN KIRAL
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

Gaining ability to model nonlinear programming and solving these models.

Course Content

The course content covers nonlinear programming by examining necessary and sufficient conditions. Classical optimization methods are explored in detail, with a focus on the Lagrange multipliers method and the evaluation of constrained and unconstrained optimization techniques. Quadratic programming methods are analyzed, emphasizing the mathematical approaches used in optimization processes.

Course Precondition

no prerequisites

Resources

Hillier, F. S., & Lieberman, G. J. (2015). Introduction to operations research. McGraw-Hill.

Notes

-


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Produces a mathematical model of quantitative problems encountered in social sciences by using operations research methods.
LO02 Finds/creates the best solution method suitable for the mathematical model at hand
LO03 Solves the modeled problem/develops a solution method.
LO04 Formulates complex systems to apply optimization methods
LO05 Solves mathematical models using package programs
LO06 Analyzes necessary and sufficient conditions to evaluate optimization problems.
LO07 Uses classical optimization methods to determine the extreme points of functions.
LO08 Analyzes constrained optimization problems using the Lagrange multipliers method.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Identify an econometric problem and propose a new solution to it 5
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences 2
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 3
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 3
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 5
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose
PLO09 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 2
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 2
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions 3
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 5
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility
PLO17 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study 2
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 5
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues


Week Plan

Week Topic Preparation Methods
1 Optimization and conditions Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Unconstrained optimization Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Constrained optimization Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Basic concepts and definition Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Gösterip Yaptırma
5 Creating models and structure of model (Dominance, efficiency and optimality relations) Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 The use of graphical method Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Multiobjective simplex method Reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap
8 Mid-Term Exam Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Multiobjective decision making techniques Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Conflicting objectives Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Application with the worksheet Reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Goal programming Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Goal programming solving techniques Reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Sensitivity analysis (Structural changes) Reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma
15 Sensitivity analysis (Coefficient changes) Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
16 Term Exams Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS

Update Time: 27.02.2025 01:08