1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ENGINEERING
  3. FOOD ENGINEERING DEPARTMENT
  4. 250 Food Engineering (Evening Classes)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
FENG 324STATISTICAL ANALYSIS3 + 05th Semester3

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to teach students the basic statistical analysis methods used in the processing of scientific data. .
Course Content Definition of statistics, sampling, types of variables, descriptive statistics, statistical distributions and their properties, statistical estimation methods, hypothesis tests, regression and correlation analysis, variance analysis and multiple comparison tests. .
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
11. Recognizing the importance of statistics in engineering
22. Basic theoretical knowledge of statistical analysis
33. To learn the basic methods of the implementations
44. to perform some basic analysis using Microsoft Excel ®

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13
LO 0015  2 443     
LO 0024  2  1      
LO 0033  3 24      
LO 0044  1 5 2     
Sub Total16  8 1195     
Contribution4002032100000

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)14114
Mid-terms188
Final examination11414
Total Work Load

ECTS Credit of the Course





78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2010-2011 Spring2YUSUF YILMAZ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
FENG 324 STATISTICAL ANALYSIS 3 + 0 2 Turkish 2010-2011 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Course location is not specified. %
Goals The aim of this course is to teach students the basic statistical analysis methods used in the processing of scientific data. .
Content Definition of statistics, sampling, types of variables, descriptive statistics, statistical distributions and their properties, statistical estimation methods, hypothesis tests, regression and correlation analysis, variance analysis and multiple comparison tests. .
Topics
WeeksTopics
1 definition and importance of statistics
2 Variable types of biological research, accuracy and precision
3 sampling statistics
4 frequency distributions
5 descriptive statistics
6 Probability and chance variables
7 normal Distribution
8 statistical estimation
9 hypothesis testing
10 Distribution and Student's t test
11 Chi-square distribution and test
12 regression analysis
13 correlation analysis
14 Trial designs the overall input
Materials
Materials are not specified.
Resources
ResourcesResources Language
Püskülcü, H. ve İkiz, F. 1986. İstatistiğe Giriş, Ege Üniversitesi Basımevi, Bornova, İzmir. Türkçe
Özmutaf, N.M. 2004. Biyoistatistiğe Giriş, Ege Üniversitesi Basımevi, Bornova, İzmir. Türkçe
Şenoğlu, B. ve Acıtaş, Ş. 2010. İstatistiksel Deney Tasarımı: Sabit Etkili Modeller, Nobel Yayın Dağıtım Tic.Ltd.Şti., Kızılay, AnkaraTürkçe
Goldman, R.N. and Weingberg, J.S. 1985. Statistics, an introduction. Prentice-Hall Inc., Englewood Cliffs, New Jersey, USA. English
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes