IEM1813 Dynamic Decision Models

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

Information

Code IEM1813
Name Dynamic Decision Models
Term 2023-2024 Academic Year
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 / Objective

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

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

Statistical background

Resources

relevant statistical databases and Internet resources

Notes

relevant statistical and econometric packages


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Develops and defines new information by using current concepts in econometrics, statistics and operations research
LO02 Develops and solves the problems by using mathematics, statistics and econometrics to create a new model
LO03 Presents the results of the analysis appropriately; translates his / her findings into a doctoral dissertation in Turkish or foreign languages or a professional report
LO04 Uses a package program on econometrics, statistics and operations research, or writes a new computer code
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 5
PLO02 Bilgi - Kuramsal, Olgusal Develops new knowledge using current concepts in Econometrics, Statistics and Operations Research 4
PLO03 Bilgi - Kuramsal, Olgusal Explain for what purpose and how econometric methods are applied to other fields and disciplines 4
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 1
PLO07 Beceriler - Bilişsel, Uygulamalı Performs conceptual analysis to develop solutions to problems 4
PLO08 Beceriler - Bilişsel, Uygulamalı Collects data on purpose 3
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 5
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 2
PLO12 Beceriler - Bilişsel, Uygulamalı It researches current approaches and methods to solve the problems it encounters and proposes new solutions 4
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods 1
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Performs self-study using knowledge of Econometrics, Statistics and Operations to solve a problem 3
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads the team by taking responsibility 4
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 5
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 5
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 2
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 Introduction Reading related literature and books Öğretim Yöntemleri:
Anlatım
2 problem of dimensionality in dynamic programming Reading related literature and books Öğretim Yöntemleri:
Anlatım
3 discreate dynamic programming Reading related literature and books Öğretim Yöntemleri:
Anlatım
4 Markov decision process Reading related literature and books Öğretim Yöntemleri:
Anlatım
5 The scope of Makov decision problems Reading related literature and books Öğretim Yöntemleri:
Anlatım
6 finite stage models Reading related literature and books Öğretim Yöntemleri:
Anlatım
7 ifinite stage models İlgili kaynak ve kitapların okunması Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Reading related literature and books Ölçme Yöntemleri:
Yazılı Sınav
9 Linear programming solution of Markov decision probelems Reading related literature and books Öğretim Yöntemleri:
Anlatım
10 backward recursive equations Reading related literature and books Öğretim Yöntemleri:
Anlatım
11 Steady State and Dynamic Equilibrium Reading related literature and books Öğretim Yöntemleri:
Anlatım
12 Entropy Reading related literature and books Öğretim Yöntemleri:
Anlatım
13 Input, Output and Feedback (Backflow) .. Reading related literature and books Öğretim Yöntemleri:
Anlatım
14 Deterministic Systems Reading related literature and books Öğretim Yöntemleri:
Soru-Cevap
15 Probabilistic systems Reading related literature and books Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Reading related literature and books Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reading related literature and books 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

Update Time: 11.05.2023 04:57