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SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
FOOD ENGINEERING DEPARTMENT
1161 Food Engineering
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
GMU 511
STATISTICAL METHODS IN ENGINEERING
3 + 0
1st Semester
7,5
COURSE DESCRIPTION
Course Level
Master's Degree
Course Type
Elective
Course Objective
Within the scope of this course, our aim is to teach ability to students relating statistical data collection, analysis and interpretation
Course Content
Use of basic statistical techniques, distributions (normal distribution, t distribution, F distribution and X2 distribution), simple comparisions, multiple comparisions - analysis of variance (ANOVA), mean separation techniques (Duncan's Multiple Range Test, LSD, Tukey test), introduction to experimental design, completely randomized designs, randomized block designs, simple and multiple regression analysis and their applications in food science and technology. .
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Recognizing the importance of statistics in engineering
2
. Basic theoretical knowledge of statistical analysis
3
To learn the basic methods of the implementations
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
PO 11
PO 12
LO 001
5
5
LO 002
5
5
LO 003
5
5
Sub Total
15
10
5
Contribution
5
3
2
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
7
98
Mid-terms
1
25
25
Final examination
1
30
30
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
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All Years
2011-2012 Fall
2010-2011 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