ECMZ306 Operations Research II

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

Information

Code ECMZ306
Name Operations Research II
Term 2023-2024 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 Dr. Öğr. Üyesi SEMİN PAKSOY (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

Update Time: 10.05.2023 08:39