COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 313VARIANCE ANALYSIS AND EXPERIMENT DESIGN3 + 05th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to get students to acquire the knowledge of variance analysis and experimet design.
Course Content Basic notions, Two dimensional contincengy tables measures of correlations, Logarithmic linear model, Logit model,Multinomial Logit model.
Prerequisites No prerequisites.
Corequisite No corequisites.
Mode of Delivery Face to face

COURSE LEARNING OUTCOMES
1To be able to statistical design and analyze of experiment
2To be able to use R software
3To be able to think analytically

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 01  4         
LO 02444444      
LO 03   555555555
Sub Total448999555555
Contribution113333222222

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration14342
Hours for off-the-classroom study (Pre-study, practice)13339
Assignments11010
Mid-terms11313
Final examination12626
Total Work Load

ECTS Credit of the Course






130

5

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2016-2017 Fall1ANDIM OBEN BALCE

Course Details
Course Code:  EKNM 313 Course Title:  VARIANCE ANALYSIS AND EXPERIMENT DESIGN
L+P Hour : 3 + 0   Course Code : 1   Language Of Instruction: Turkish Course Semester :  2016-2017 Fall
Course Coordinator :  ASSISTANT PROFESSOR ANDIM OBEN BALCE E-Mail:  abalce@pau.edu.tr, Phone Number :  296 2677,
Course Location İİBF C0203,
Goals : The aim of this course is to get students to acquire the knowledge of variance analysis and experimet design.
Content : Basic notions, Two dimensional contincengy tables measures of correlations, Logarithmic linear model, Logit model,Multinomial Logit model.
Attendance : %70
Topics
WeeksTopics
1 Introduction, Strategy of Experimentation, Some Applications of Experimental Design, Basic Principles, Guideline of Desigining Experiments, History, Using Statistical Techniques in Experimental Studies.
2 Simple Comparative Experiments
3 Experiment with a single Factor: The Analysis of Variance
4 Experiment with a single Factor: The Analysis of Variance (continued)
5 Experiment with a single Factor: The Analysis of Variance (continued)
6 Multi Factor Designs
7 Randomized Block Designs
8 Latin Square Designs
9 Factorial Designs
10 Two level Factorial Designs
11 Blocking and confounding in Two level Factorial Designs
12 Two level Fractional Factorial Designs
13 Three level Factorial Designs
14 Nested and Split Plot Designs
Materials
Materials are not specified.
Resources
ResourcesResources Language
Deney Düzenlemede İstatistiksel Yöntemler, E. Karaağaoğlu S. Kurt Z. Muluk Ö. Toktamış, Ekin YayıneviTürkçe
Design and Analysis of Experiment, D. C. Montgomery, Wiley, USAEnglish
Deney Düzenlemede İstatistiksel Yöntemler, E. Karaağaoğlu S. Kurt Z. Muluk Ö. Toktamış, Ekin YayıneviTürkçe
Design and Analysis of Experiment, D. C. Montgomery, Wiley, USAEnglish
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes