MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ADV4627 Approximations to Consumer Behavior by Experimental Designs Fall 2 2 3 5
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. HASAN KEMAL SUHER
Course Objectives: Approximation research, tries to explain a phenomenon, consept or fact by very little number of (very frequently by only one) but effective and practical independent variable. In other words, they try to reach to a target inquiry (phenomenon, consept or fact) in a science universe from another phenomenon, consept or fact (reference point) of the same science universe with a minimum approximation error by creating a worm hole. And sometimes it aims to prove that no worm hole can be created from a certain point of the science universe to another certain point of the same science universe. Hence, the goal of this course is to discover possible unique worm holes in the consumer behavior universe by unique experimental designs.

Learning Outputs

The students who have succeeded in this course;
The students who have succeeded in this course;
1) be able to enter variables and data in a new SPSS sheet,
2) be able to recognize various forms of difference tests (Chi-square, T-Test, ANOVA…) in quantitative research and differentiate them from one another,
3) be able to design and conduct creative experiments, 
4) be able to observe consumer or human behavior by new and unique perspectives,
5) be able to report the research findings in a single page

Course Content

Entering variables and data in SPSS, experimental designs, the difference tests used in experimental designs, conducting new and unique experimental designs, developing the findings into a summarized report, observation and analyses of consumer behavior

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Getting to know about each other, discussion on the syllabus, a sample experiment that approximates to consumer behavior
2) What is an experiment? Fundamental terms and information about experimental designs
3) The importance of asking questions, questioning the consumer behavior, some more experimental designs that question and approximate to consumer behavior
4) Your experimental designs-1, Entering variables and data in SPSS
5) Your experimental designs-2, introduction to the statistical difference tests
6) Your experimental designs-3, statistical difference tests and their reporting
7) Your experimental designs-4, statistical difference tests and their reporting
8) Your experimental designs-5, statistical difference tests and their reporting
9) Your experimental designs-6, statistical difference tests and their reporting
10) Your experimental designs-7, statistical difference tests and their reporting
11) Your experimental designs-8, statistical difference tests and their reporting
12) Your experimental designs-9, statistical difference tests and their reporting
13) Your experimental designs-10, statistical difference tests and their reporting
14) Reviewing the semester, directions for the final exam

Sources

Course Notes: Ders Notları / Kitaplar: •Dougles C. Montgomery, Design and Analysis of Experiments, International Student Version (tercihen: 9th Edition, Wiley, 2017) Diğer Kaynaklar: •Barbara G. Tabachnick, Linda S. Fidell, Using Multivariate Statistics, Pearson International Edition, Fifth Edition. •Andy Field, Discovering Statistics using IBM SPSS Statistics •Julie Pallant, SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM Spss, 5 spi Edition, 2013."
References: Course Notes / Textbooks: •Dougles C. Montgomery, Design and Analysis of Experiments, International Student Version (Preferably: 9th Edition, Wiley, 2017) References: •Barbara G. Tabachnick, Linda S. Fidell, Using Multivariate Statistics, Pearson International Edition, Fifth Edition. •Andy Field, Discovering Statistics using IBM SPSS Statistics •Julie Pallant, SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM Spss, 5 spi Edition, 2013.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application 10 % 60
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project % 0
Seminar % 0
Midterms % 0
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 4 56
Laboratory 0 0 0
Application 10 4 40
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 2 28
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 0 0 0
Paper Submission 0 0 0
Jury 0 0 0
Final 1 2 2
Total Workload 126

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution