Information
Code | EKMZ306 |
Name | Operations Research II |
Term | 2024-2025 Academic Year |
Semester | 6. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 4 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Lisans Dersi |
Type | Normal |
Label | C Compulsory |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. SÜLEYMAN BİLGİN KILIÇ |
Course Instructor |
Doç. Dr. ERSİN KIRAL
(A Group)
(Ins. in Charge)
Dr. Öğr. Üyesi SEMİN PAKSOY (B Group) (Ins. in Charge) |
Course Goal / Objective
It aims to provide the ability to use quantitative decision-making techniques, define problems, and especially build and analyze models.
Course Content
Deterministic and probabilistic inventory models are examined, with a focus on fundamental probability distributions, including normal, binomial, and Poisson distributions. Single-channel and multi-channel queuing systems are analyzed to evaluate the performance of waiting lines. Decision processes are modeled using deterministic dynamic programming and Markov chains. Decision analysis and game theory concepts are explored to study strategic decision-making methods. Simulation-based modeling techniques are applied, and classical optimization problems are solved to analyze constrained and unconstrained problems. Additionally, nonlinear programming algorithms and quadratic programming topics are covered to assess optimization processes.
Course Precondition
No prerequisites
Resources
Öztürk, A. (2005). Yöneylem Araştırması, Ekin Kitabevi. Onuncu Baskı, Bursa.
Notes
Taha, H. A. (1997). Operations research: an introduction (7. baskı). Upper Saddle River, NJ: Prentice hall
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Obtains, edits and analyze the data |
LO02 | Student explain econometric consepts |
LO03 | Construct mathematical models |
LO04 | Produces effective solutions |
LO05 | Uses an econometric package |
LO06 | Selects appropriate teaching strategies, methods, and techniques in line with the course objectives. |
LO07 | Evaluates by using the appropriate method in accordance with the problem. |
LO08 | Understands optimization methods. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research | 4 |
PLO02 | Bilgi - Kuramsal, Olgusal | Acquires basic Mathematics, Statistics and Operation Research concepts | 3 |
PLO03 | Bilgi - Kuramsal, Olgusal | Describes the necessary concepts of Business | 4 |
PLO04 | Beceriler - Bilişsel, Uygulamalı | Equipped with the foundations of Economics, and develops Economic models | 5 |
PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 4 |
PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzes/interprets at the conceptual level to develop solutions to problems | |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data from reliable data sources for the purpose of study | 3 |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Interprets the results analyzed with the model | 4 |
PLO09 | Beceriler - Bilişsel, Uygulamalı | Combines the information obtained from different sources within the framework of academic rules in a field of research | 4 |
PLO10 | Beceriler - Bilişsel, Uygulamalı | Adapts traditional approaches, practices and methods to a new study when necessary | 3 |
PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research | 4 |
PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 3 |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities | 4 |
PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field. | 5 |
PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses Turkish and at least one other foreign language, academically and in the business context | |
PLO16 | 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 | |
PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on current economic and social issues | |
PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Deterministic inventory models | Reading | Öğretim Yöntemleri: Anlatım |
2 | Stochastic inventory models | Reading | Öğretim Yöntemleri: Anlatım |
3 | Basic probability distributions (normal, binomial and Poisson distributions) | Reading | Öğretim Yöntemleri: Anlatım |
4 | Single-channel and multi-channel queuing systems | Reading | Öğretim Yöntemleri: Anlatım |
5 | Deterministic dynamic programming | Reading | Öğretim Yöntemleri: Anlatım |
6 | Modelin with Markov chains | Reading | Öğretim Yöntemleri: Anlatım |
7 | Decision analysis and game theory | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama |
8 | Mid-Term Exam | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
9 | Model building with simulation | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
10 | Classical optimization problems | Reading | Öğretim Yöntemleri: Anlatım |
11 | Unconstrained problems | Reading | Öğretim Yöntemleri: Anlatım |
12 | Constrained problems | Reading | Öğretim Yöntemleri: Anlatım |
13 | Non-linear programming algorithms | Reading | Öğretim Yöntemleri: Anlatım |
14 | Gradyan decent algorithm | Reading | Öğretim Yöntemleri: Tartışma |
15 | Quadratic programming | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Anlatım |
16 | Term Exams | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Mid-Term Exam | 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 | 7 | 7 |
Final Exam | 1 | 18 | 18 |
Total Workload (Hour) | 109 | ||
Total Workload / 25 (h) | 4,36 | ||
ECTS | 4 ECTS |