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THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
INDUSTRIAL ENGINEERING DEPARTMENT
1265 ENGINEERING MANAGEMENT( Without Thesis)
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
MUHY 580
BASIC STATISTICAL METHODS IN MANAGEMENT
3 + 0
2nd Semester
6
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Elective
Course Objective
This course will introduce students to different types of statistical methods. Students will then be able to determine which method is appropriate for a given situation
Course Content
Basic concepts/ Frequency Tables and Graphs/ Measures of Central Tendency and Dispersions: Mean, Median, Mode and Variance/ Sampling and Sampling Distributions/ Confidence Intervals for Mean/ Confidence Intervals for Variance/ Tests of Hypotheses for Mean/ Tests of Hypotheses for Variance/ Goodness of Fit Test, Test for Independence, Test for Homogeneity/ Regression Analysis
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Able to make informed decisions based on data
2
Able to correctly apply a variety of statistical procedures and tests
3
Develop skills in Excel and SPSS
4
Able to interpret the results of hypothesis tests
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
LO 002
LO 003
LO 004
Sub Total
Contribution
0
0
0
0
0
0
0
0
0
0
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)
14
5
70
Mid-terms
1
20
20
Final examination
1
24
24
Total Work Load
ECTS Credit of the Course
156
6
COURSE DETAILS
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2015-2016 Spring
This course is not available in selected semester.
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L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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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