Pamukkale University
University is the guide to life
Welcome to PAU;
Prospective Student
Our Students
Our Staff
TR
Information Package & Course Catalogue
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes
SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
INDUSTRIAL ENGINEERING DEPARTMENT
1663 Industrial Engineering Phd
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
Print
COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
ENM 523
ADVANCED INVENTORY MANAGEMENT
3 + 0
2nd Semester
7,5
COURSE DESCRIPTION
Course Level
Master's 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
1
Students have information about the basic concepts of statistics
2
Students gain the ability of using statistical methods and relevant tools such as SPSS.
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
LO 001
4
4
4
4
4
2
2
2
2
3
LO 002
5
5
5
5
5
3
3
2
2
5
Sub Total
9
9
9
9
9
5
5
4
4
8
Contribution
5
5
5
5
5
3
3
2
2
4
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
13
1
13
Assignments
5
4
20
Mid-terms
1
35
35
Final examination
1
45
45
Report / Project
1
40
40
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
Select Year
All Years
This course is not available in selected semester.
Print
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
{1}
##LOC[OK]##
{1}
##LOC[OK]##
##LOC[Cancel]##
{1}
##LOC[OK]##
##LOC[Cancel]##
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes