IEM759 Multi-purpose Optimization

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

Information

Unit INSTITUTE OF SOCIAL SCIENCES
ECONOMETRICS (MASTER) (WITH THESIS)
Code IEM759
Name Multi-purpose Optimization
Term 2024-2025 Academic Year
Term Fall and Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi SEMİN PAKSOY
Course Instructor Dr. Öğr. Üyesi SEMİN PAKSOY (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

examining optimization and multi-criteria decision-making methods, solving linear programming problems, and applying fuzzy decision-making techniques are aimed.

Course Content

introduction to optimization is provided, and constrained and unconstrained optimization concepts are examined. Linear programming problems are addressed, solution methods are applied, and sensitivity analysis is conducted. Within the scope of multi-criteria decision-making methods, goal programming, TOPSIS, VIKOR, and MULTIMOORA methods are studied and applied. The concept of fuzziness in decision problems is explored, with a focus on the fuzzy TOPSIS method, and these techniques are applied to various decision problems.

Course Precondition

No prerequisites are required

Resources

Öztürk, Ahmet (2016 ). Yöneylem Araştırması, Ekin Kitabevi, Bursa.

Notes

Hamdy A Taha (2001). Araştırma Yöntemleri, (Çev. Ş Alp Baray ve Şakir Esnaf) Literatür Yayıncılık.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the properties of multi-objective decision problems.
LO02 Learns the properties of multi-criteria decision problems.
LO03 Gains the ability to use multi-criteria decision making techniques.
LO04 Gains the ability to use multi-objectice decision making techniques.
LO05 Gains the ability to formulate and solve multi-criteria decision-making problems in the fields of economics and business.
LO06 Gains the ability to interpret the results of the models learned in this course.
LO07 Gains the ability to solve some of the problems with the Excel package program.
LO08 Analyzes optimization concepts and uses them in the problem-solving process


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains contemporary concepts about Econometrics, Statistics, and Operation Research
PLO02 Bilgi - Kuramsal, Olgusal Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research
PLO03 Bilgi - Kuramsal, Olgusal Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences
PLO04 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 4
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 3
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 5
PLO07 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research 3
PLO08 Beceriler - Bilişsel, Uygulamalı Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 4
PLO09 Beceriler - Bilişsel, Uygulamalı Searches for new approaches and methods to solve problems being faced
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 5
PLO11 Beceriler - Bilişsel, Uygulamalı Collects/analyzes data in a purposeful way 5
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Converts its findings into a master's thesis or a professional report in Turkish or a foreign language
PLO13 Beceriler - Bilişsel, Uygulamalı Develops solutions for organizations using Econometrics, Statistics, and Operation Research 4
PLO14 Beceriler - Bilişsel, Uygulamalı Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research 4
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research 5
PLO16 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team 4
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 4
PLO18 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
PLO19 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Optimization Problems, Importance and Basic Concepts Reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
2 Constrained Optimization Reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
3 DP Problems and Basics Reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Alıştırma ve Uygulama
4 Solution Method with Simplex Method Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Anlatım, Problem Çözme
5 Importance of Sensitivity Analysis and Sensitivity Analysis in DP Problem Reading Öğretim Yöntemleri:
Problem Çözme, Anlatım
6 Basic Concepts, Features and Model Establishment in Multi-Objective Decision Making – Goal Programming Reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Tartışma
7 Goal Programming and Solution with Excel Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Problem Çözme
8 Mid-Term Exam Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Multi-Purpose Optimization Method MULTIMOORA and its Solution with Excel Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Problem Çözme
10 Multi-Criteria Decision Problems and TOPSIS Method Reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Alıştırma ve Uygulama
11 Multi-Criteria Decision Problems and Conflicting Decisions VIKOR Method Reading Öğretim Yöntemleri:
Problem Çözme, Alıştırma ve Uygulama, Anlatım
12 Different Methods Used in Determining the Importance Levels of the Criteria Reading Öğretim Yöntemleri:
Problem Çözme, Alıştırma ve Uygulama, Tartışma
13 Different Methods Used in Determining the Importance Levels of Objectives Reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
14 Using Fuzziness and Linguistic Expressions in Decision Problems Reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Alıştırma ve Uygulama
15 Fuzzy TOPSIS Reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Anlatım, Problem Çözme
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 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 27.02.2025 09:44