EKMZ306 Operations Research II

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMZ306
Name Operations Research II
Term 2017-2018 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 Prof. Dr. ERSİN KIRAL (Bahar) (A Group) (Ins. in Charge)
Doç. Dr. SEMİN TOPALOĞLU PAKSOY (Bahar) (B Group) (Ins. in Charge)


Course Goal / Objective

Ojective 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

Resources

Notes



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 Students will be prepared by studying relevant subjects from source books according to the weekly program
2 Stochastic inventory models Students will be prepared by studying relevant subjects from source books according to the weekly program
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
4 Single-channel and multi-channel queuing systems Students will be prepared by studying relevant subjects from source books according to the weekly program
5 Deterministic dynamic programming Students will be prepared by studying relevant subjects from source books according to the weekly program
6 Modelin with Markov chains Students will be prepared by studying relevant subjects from source books according to the weekly program
7 Decision analysis and game theory Students will be prepared by studying relevant subjects from source books according to the weekly program
8 Midterm examination
9 Model building with simulation Students will be prepared by studying relevant subjects from source books according to the weekly program
10 Classical optimization problems Students will be prepared by studying relevant subjects from source books according to the weekly program
11 Unconstrained problems Students will be prepared by studying relevant subjects from source books according to the weekly program
12 Constrained problems Students will be prepared by studying relevant subjects from source books according to the weekly program
13 Non-linear programming algorithms Students will be prepared by studying relevant subjects from source books according to the weekly program
14 Gradyan decent algorithm Students will be prepared by studying relevant subjects from source books according to the weekly program
15 Quadratic programming Students will be prepared by studying relevant subjects from source books according to the weekly program
16 Final examination
17 Final examination


Assessment (Exam) Methods and Criteria

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

Update Time: 01.05.2025 12:15