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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 407STATISTICAL DECISION THEORY3 + 05th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective This course aims to teach how to use statistics in decision making.
Course Content Bayes Theory, Prior and posterior Distributions, Determination of Prior Distribution, Determination of likelihood, conjegute prior distributions, Certainty, uncertainty; tables of pay and loss, Probalistic and unprobabilistic Criteria in decision making under uncertainty, Utility, Determination of utiliry function, decisions before posteriror, Expectation value of complete and sample information, Linear pay function
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To be able to use statistics in decision making
2To be able to think analytically

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001555555555555
LO 002555555555555
Sub Total101010101010101010101010
Contribution555555555555

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12323
Final examination12323
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1ANDIM OBEN BALCE


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 407 STATISTICAL DECISION THEORY 3 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. ANDIM OBEN BALCE abalce@pau.edu.tr İİBF C0104 %80
Goals This course aims to teach how to use statistics in decision making.
Content Bayes Theory, Prior and posterior Distributions, Determination of Prior Distribution, Determination of likelihood, conjegute prior distributions, Certainty, uncertainty; tables of pay and loss, Probalistic and unprobabilistic Criteria in decision making under uncertainty, Utility, Determination of utiliry function, decisions before posteriror, Expectation value of complete and sample information, Linear pay function
Topics
WeeksTopics
1 Basic Definitions
2 Bayes Therom for Discrete Random Variable
3 Bayes Therom for Discrete Random Variable
4 Bayes Therom for Discrete Random Variable
5 Bayes Therom for Discrete Random Variable
6 Bayes Therom for Continuos Random Variable
7 Bayes Therom for Continuos Random Variable
8 Bayes Therom for Continuos Random Variable
9 Bayes Therom for Continuos Random Variable
10 Decision Theory
11 Decision Theory
12 Decision Theory
13 Decision Theory
14 Decision Theory
Materials
Materials are not specified.
Resources
ResourcesResources Language
Newbold, P.(Çev. Ümit Şenesen), İşletme Ve İktisat İçin İstatistik, Literatür Yay., İstanbul, 2006.Türkçe
Mendenhal, W., Reinmuth, J.E., Beaver, R.J., Statistics for Management and Economics, Duxbury Press, 7. Ed., USA, 1993.English
Mcclave, J.T., Benson, P.G., Sincich, T., Statistics For Business And Economics, 7th Eition, Prentice Hall, New Jersey, 1998.English
Runyon, R.P., Haber, A., Pittenger, D.J., Coleman, K.A., Fundamentals of Behavioral Statistics, The McGraw Hill Companies Inc., Eighth edition, 1996.English
Barrow, M., Statistics For Economics Accounting and Business Studies, Longman, Second Edition, England, 1996.English
Johnson, R.A., Bhattacharyya, G.K., Statistics: Principles and Methods, JohnWiley & Sons Inc., Fourth edition, USA, 2001.English
Apaydın, A., Kutsal, A., Atakan, C., Uygulamalı İstatistik, Baran Ofset, Ankara, 1994.Türkçe
Akdeniz, F., Olasılık ve İstatistik, Nobel Yayınevi, 11. Baskı, Adana, 2004.Türkçe
Turanlı, M., Güriş, S., Temel İstatistik, Der Yayınları, 2. Baskı, İstanbul, 2005. Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes