Information
Code | ECMZ306 |
Name | Operations Research II |
Term | 2022-2023 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 |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. SÜLEYMAN BİLGİN KILIÇ |
Course Instructor |
Salih ÇAM
(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 inventory models, stochastic inventory models, basic probability distributions (normal, binomial and Poisson distributions), single-channel and multi-channel queuing systems, deterministic dynamic programming, Markov chains, decision analysis and game theory, model building with simulation, classical optimization problems, uconstrained problems, constrained problems, non-linear programming algorithms, quadratic programming
Course Precondition
No prerequisites
Resources
Wayne L. Winston "Operations Research"
Notes
related statistical and econometric packages
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 |
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 | Has the ability to analyze/interpret at the conceptual level to develop solutions to problems | 3 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data | 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 which does not research | 4 |
PLO10 | Beceriler - Bilişsel, Uygulamalı | It develops traditional approaches, practices and methods into new working methods when it deems necessary | 3 |
PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 2 |
PLO12 | 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 |
PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | 2 |
PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a package program of Econometrics, Statistics, and Operation Research | 4 |
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 | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
2 | Stochastic inventory models | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
3 | Basic probability distributions (normal, binomial and Poisson distributions) | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
4 | Single-channel and multi-channel queuing systems | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
5 | Deterministic dynamic programming | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
6 | Modeling with Markov chains | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
7 | Decision analysis and game theory, | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Alıştırma ve Uygulama |
8 | Mid-Term Exam | Students will be prepared by studying relevant subjects from source books according to the weekly program | Ölçme Yöntemleri: Yazılı Sınav |
9 | Model building with simulation | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
10 | Classical optimization problems | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
11 | Uconstrained problems | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
12 | Constrained problems | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım |
13 | Non-linear programming algorithms | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
14 | Gradyan decent algorithm | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
15 | Quadratic programming | Students will be prepared by studying relevant subjects from source books according to the weekly program | Öğretim Yöntemleri: Alıştırma ve Uygulama |
16 | Term Exams | Students will be prepared by studying relevant subjects from source books according to the weekly program | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Students will be prepared by studying relevant subjects from source books according to the weekly program | 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 |