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 prerequisites.
Corequisite No corequisites.
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 01  4         
LO 02444444      
Sub Total448444      
Contribution224222000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
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