IEM759 Multi-purpose Optimization

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

Information

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
1


Course Goal / Objective

Selects the right method to be used for solving related problems, models mathematically, solves problems with the help of package programs

Course Content

Introduction to Optimization, Constrained, Unconstrained Optimization, Introduction to Linear Programming, Solution of Linear Programming Problems, Sensitivity Analysis, Multi-Criteria Decision Making Methods, Introduction to Goal Programming, TOPSIS Method, VIKOR Method, MULTIMOORA Method, Fuzzy Decision Problems, Fuzzy TOPSIS

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.


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 that does not 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 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research 5
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team 4
PLO16 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
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 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 Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme
2 Constrained Optimization Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme
3 DP Problems and Basics Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme
4 Solution Method with Simplex Method Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Alıştırma ve Uygulama, Anlatım, Problem Çözme
5 Importance of Sensitivity Analysis and Sensitivity Analysis in DP Problem Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Problem Çözme, Anlatım, Alıştırma ve Uygulama
6 Basic Concepts, Features and Model Establishment in Multi-Objective Decision Making – Goal Programming Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme
7 Goal Programming and Solution with Excel Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Multi-Purpose Optimization Method MULTIMOORA and its Solution with Excel Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Alıştırma ve Uygulama
10 Multi-Criteria Decision Problems and TOPSIS Method Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme, Alıştırma ve Uygulama
11 Multi-Criteria Decision Problems and Conflicting Decisions VIKOR Method Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme, Alıştırma ve Uygulama
12 Different Methods Used in Determining the Importance Levels of the Criteria Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 Different Methods Used in Determining the Importance Levels of Objectives Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme
14 Using Fuzziness and Linguistic Expressions in Decision Problems Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Anlatım, Problem Çözme
15 Fuzzy TOPSIS Students will read the relevant chapters of the source books according to the topics of the weekly program. Öğretim Yöntemleri:
Alıştırma ve Uygulama, Anlatım, Problem Çözme
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 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: 09.05.2024 04:21