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 2018-2019 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 Student gets the ability of construction of mathematical models
LO02 Student gets the ability of making effective desicion skills
LO03 Student explain econometric consepts
LO04 uses an econometric package
LO05 obtain, edit and analyze the data


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explains Econometric concepts 0
PLO02 - Acquires basic Mathematics, Statistics and Operation Research concepts 5
PLO03 - Equipped with the foundations of Economics, and develops Economic models 2
PLO04 - Describes the necessary concepts of Business 4
PLO05 - Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 - Estimates the model consistently and analyzes & interprets its results 4
PLO07 - Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 5
PLO08 - Collects, edits, and analyzes data 5
PLO09 - Uses a package program of Econometrics, Statistics, and Operation Research 3
PLO10 - Effectively works, take responsibility, and the leadership individually or as a member of a team 5
PLO11 - Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 4
PLO12 - Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied 2
PLO13 - Uses Turkish and at least one other foreign language, academically and in the business context 1
PLO14 - Good understanding, interpretation, efficient written and oral expression of the people involved 4
PLO15 - Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 0
PLO16 - Questions traditional approaches and their implementation while developing alternative study programs when required 0
PLO17 - Recognizes and implements social, scientific, and professional ethic values 4
PLO18 - Follows actuality, and interprets the data about economic and social events 0


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 Mid-Term Exam Students will be prepared by studying relevant subjects from source books according to the weekly program
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 Term Exams Students will be prepared by studying relevant subjects from source books according to the weekly program
17 Term Exams Students will be prepared by studying relevant subjects from source books according to the weekly program


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