TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMZ306 |
| 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 | İngilizce |
| 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. SEMİN PAKSOY
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Objective of the course is to give the capability of using quantitative techniques for decision making; problem identification, model building and solving.
Course Content
Deterministic and probabilistic inventory models, with a focus on fundamental probability distributions, including normal, binomial, and Poisson distributions. Single-channel and multi-channel queuing systems are analyzed to evaluate waiting line dynamics. Topics such as deterministic dynamic programming, Markov chains, decision analysis, and game theory are explored. Simulation-based modeling techniques are examined, and solutions for classical optimization problems are developed. Solution methods for constrained and unconstrained problems are discussed, while nonlinear programming algorithms and quadratic programming are also covered.
Course Precondition
No prerequisites
Resources
Winston, W. L. (2004). Operations research: Applications and algorithms (4th ed.). Thomson/Brooks Cole.
Notes
-
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | gain, edit and analyze the data |
| LO02 | Construct the mathematical models |
| LO03 | Find effective solutions to problems. |
| LO04 | Solves the mathematical problems |
| LO05 | Uses an Econometric software |
| LO06 | Apply different inventory management strategies. |
| LO07 | Use them in inventory and queuing systems. |
| LO08 | Analyze simulation-based modeling techniques |
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 | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data from reliable data sources for the purpose of study | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Interprets the results analyzed with the model | 5 |
| 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 | 2 |
| 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 | 3 |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | 2 |
| 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, Problem Çözme |
| 3 | Basic probability distributions (normal, binomial and Poisson distributions) | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Single-channel and multi-channel queuing systems | Reading | Öğretim Yöntemleri: Anlatım |
| 5 | Deterministic dynamic programming | Reading | Öğretim Yöntemleri: Anlatım |
| 6 | Modeling with Markov chains | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 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, Problem Çözme |
| 11 | Uconstrained problems | Reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 12 | Constrained problems | Reading | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 13 | Non-linear programming algorithms | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Problem Çözme |
| 14 | Gradyan decent algorithm | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 15 | Quadratic programming | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Problem Çözme |
| 16 | Term Exams | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Assessment (Exam) Methods and Criteria
Current term shares have not yet been determined. Shares of the previous term are shown.
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||