IEM1830 Probability Theory

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

Information

Code IEM1830
Name Probability Theory
Term 2022-2023 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. GÜLSEN KIRAL


Course Goal / Objective

It aims to use probabilistic methods. Interprets probability theory concepts. It also includes many definitions of probability theory and mathematical statistics for students focusing on discrete random events and their distributions.

Course Content

Probability axioms, Conditional probability and Independence, Random variables, Joint distribution functions, Rank statistics, Principles of Sufficiency, Limit Theorems, Principles of data reduction, Point estimation, Hypothesis testing, Interval estimations.

Course Precondition

There are no prerequisites.

Resources

Source books, statistical packages

Notes

1-Statistical Inference by G.Casella and R.Berger, Thomson Information A first course in Probability by S.Rosse,Prentice Hall.2- Knight K (2000).Mathematical Statistics, Chapman & Hall/CRC, US.3- Shao, J. (1999). Mathematical Statistics, Springer-Verlag New York,Incorporated 4- Matematiksel İstatistik Prof. Dr. İsmail ERDEM (Seçkin Yayınevi ) 2. Baskı.5-Yılmaz Akdi(2005). Matematiksel İstatistiğe Giriş. Bıçaklar Kitabevi 6--R.V.Hogg and A.T. Craig, Collier McMillan, 1995. Introduction to Mathematical Statistics 7-İ.Hasgür (2000). Matematiksel İstatistik. Seçkin Yayınevi.8-Matematiksel İstatistik Prof. Dr.Mustafa Aytaç (Ezgi Yayınevi (3. Baskı ).9-Freund, J.E. (2001). Matematiksel İstatistik.(Çeviren Şenesen, Ü.) İstanbul: Literatür Yayıncılık.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defines the basic principles of probability calculations.
LO02 Can understand probability axioms and evaluate how they are used.
LO03 Explains concepts such as conditional probability and independence.
LO04 Makes point estimation with estimator methods.
LO05 Evaluates estimators with estimator features.
LO06 Specifies the hypothesis and evaluates the hypothesis with hypothesis finding methods.
LO07 Makes interval estimation with interval estimation methods.


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 3
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
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 4
PLO06 Beceriler - Bilişsel, Uygulamalı Interprets the results obtained from the most appropriate method to predict the model 3
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 4
PLO10 Beceriler - Bilişsel, Uygulamalı Presents analysis results conveniently 3
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 4
PLO13 Beceriler - Bilişsel, Uygulamalı Develops long-term plans and strategies using econometric and statistical methods
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 3
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution 3
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research or writes a new code 4
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 4
PLO20 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values 3
PLO21 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on economic and social events by following current issues


Week Plan

Week Topic Preparation Methods
1 Fundamentals of Probability Theory and Axiomatics read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
2 Random variables and distribution functions read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
3 Conversions and Expectations read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
4 Multiple random variables, Joint and Marginal Distributions read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
5 Random sample properties read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
6 Data reduction principles, Likelihood function read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
7 Point estimation, Estimator finding read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Reading the relevant parts in the book Ölçme Yöntemleri:
Yazılı Sınav
9 Point estimation, Estimator Evaluation read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
10 Methods of finding Hypothesis Tests read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
11 Hypothesis Tests Evaluation Methods read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
12 Asymptotic Distributions read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
13 Range forecasts, find range forecasters read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
14 Range predictions, evaluating range estimators read the relevant chapters from the source book Öğretim Yöntemleri:
Anlatım
15 Review Reading the relevant parts in the book Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams 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: 17.11.2022 09:15