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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ENM 523ADVANCED INVENTORY MANAGEMENT3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective Analyzing and interpreting data is important in decision processes under uncertainty. Therefore, under which circumstances multivariate statistical techniques are used, what the assumptions of these techniques and how to interpret the results of these techniques are scopes of this course. This course will help all students to understand and use these advanced techniques who are in need of analyzing data.
Course Content Classification of multivariate techniques and statistical fundamentals, Calculation of descriptive statistics, Parametric tests (z and t tests, One-Way and Two-Way ANOVA Analysis), Non-parametric tests (Chi- Square Test, Kruskal-Wallis (K-W) H Test, Kolmogrov-Simirnov Test), Linear Regression Analysis, Logistic Regression Analysis, Reliability and Questions Analysis
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Students have information about the basic concepts of statistics
2Students gain the ability of using statistical methods and relevant tools such as SPSS.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 0014444422223
LO 0025555533225
Sub Total9999955448
Contribution5555533224

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)14228
Assignments51260
Mid-terms13535
Final examination13030
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes