IEM1812 Static Decision Models

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

Information

Code IEM1812
Name Static Decision Models
Semester . Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 8 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SÜLEYMAN BİLGİN KILIÇ


Course Goal

The objective of this course is to determinate optimum (best) course of actions of a decision problems

Course Content

General introduction, discreate dynamic programming, backward recursive equations, problem of dimensionality in dynamic programming, Markovian decision process, scope of Makovian decision problems, finite stage models, infinitive stage models, linear programming solution of Markovian decision problems

Course Precondition

mathematical background

Resources

relevant Internet resources and databases

Notes

related statistical and econometric packages


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Aims to develop the concept of computational modelling for decision-making: where, why, what, who and how
LO02 Aims to develop the concept of model building and solving
LO03 Provide to the student to determinate optimum (best) course of actions of a decision problems
LO04 Develop and define new information by using current concepts in econometrics, statistics and operations research
LO05 Recognize and apply social, scientific and professional ethical values


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Identify an econometric problem and propose a new solution to it 2
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 3
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines 5
PLO04 Beceriler - Bilişsel, Uygulamalı Using her knowledge, brings original solutions to problems in Economics, Business Administration and other social sciences 3
PLO05 Beceriler - Bilişsel, Uygulamalı Creates a new model using mathematics, statistics and econometrics knowledge to solve the problem encountered 2
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 2
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 3
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose 1
PLO09 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained by using different sources within the framework of academic rules in a field that does not research 3
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 4
PLO11 Beceriler - Bilişsel, Uygulamalı Converts its findings into a master's thesis or a professional report in Turkish or a foreign language 3
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions 5
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods 3
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 5
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility 3
PLO16 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study 3
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 4
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code
PLO19 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
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues


Week Plan

Week Topic Preparation Methods
1 General introduction Reading related books and resources Öğretim Yöntemleri:
Anlatım
2 Computational modelling for decision-making: where, why, what, who and how Reading related books and resources Öğretim Yöntemleri:
Anlatım
3 Where models are used Reading related books and resources Öğretim Yöntemleri:
Anlatım
4 Prediction or forecasting Reading related books and resources Öğretim Yöntemleri:
Anlatım
5 Understanding theory or designs Reading related books and resources Öğretim Yöntemleri:
Tartışma
6 Making and using models Reading related books and resources Öğretim Yöntemleri:
Soru-Cevap
7 Using computer in model solution Reading related books and resources Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Reading related books and resources Ölçme Yöntemleri:
Yazılı Sınav
9 Asking the right question,who does what Reading related books and resources Öğretim Yöntemleri:
Anlatım
10 Finding the data and assessing quality Reading related books and resources Öğretim Yöntemleri:
Anlatım
11 Building and documenting a model Reading related books and resources Öğretim Yöntemleri:
Anlatım
12 Quality assurance and uncertainity Reading related books and resources Öğretim Yöntemleri:
Anlatım
13 Communicating a model and maintenance Reading related books and resources Öğretim Yöntemleri:
Soru-Cevap
14 Ensemble modelling Reading related books and resources Öğretim Yöntemleri:
Tartışma
15 Future of modelling Reading related books and resources Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Reading related books and resources Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading related books and resources Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 8 112
Assesment Related Works
Homeworks, Projects, Others 2 4 8
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 24 24
Total Workload (Hour) 212
Total Workload / 25 (h) 8,48
ECTS 8 ECTS