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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 08
LO 00133333333
LO 00233333333
Sub Total66666666
Contribution33333333

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)14570
Mid-terms144
Final examination11414
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes