REK5202 Research Methods IIBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
REK5202 Research Methods II Fall 3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. HASAN KEMAL SUHER
Recommended Optional Program Components: None
Course Objectives: Development of skills in advertising and marketing research with respect to generating research questions, following correct methods in order to reach reliable results, planning qualitative and quantitative studies, developing questionnaries, coding data and analyzing the data with the SPSS program and reporting the findings.

Learning Outcomes

The students who have succeeded in this course;
1)The students who succeeded in this course;
The students will be able to define what marketing and advertising research is, what kinds of information it can provide, and how it is used by marketing management.

2)To identify and explain alternative research methods and their relative strengths and weaknesses.

3)To determine which advertising and marketing research methods will be suitable to analyze which types of marketing problems.

4)To identify and describe major types of measurement techniques and data collection methods.

5)To analyze data obtained through marketing research using the SPSS software.

Course Content

This course provides a broad overview of social sciences researches especially marketing and advertising research from a practical and applied perspective. Students will learn the basics of research and how to conduct a research project.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Social Research - Research Design
3) Conceptualism, Operational Defination and Mesurement
4) Sampling - Reability and Validity
5) Research Techniques (Survey Research)
6) Research Techniques (Survey Research)
7) Research Techniques (Focus Group)
8) Qualitative Data Analysis
9) Quantative Data Analysis (Introduction to Statistics and Hypothesis Testing)
10) Introduction to SPSS (Menus and Data Entry)
11) Frequency Tables and Descriptive Statistics
12) Cross Tables and Chi-Square Analysis
13) T-Test
14) One Way of Analysis (ANOVA)

Sources

Course Notes / Textbooks: Earl Babbie. The Practice of Social Research, 12th Edition (America: Wadsworth, 2010)

Roger D. Wimmer ve Joseph R. Dominick, Mass Media Research, An Introduction (America: Wadsworth, 2011) 9. Basım

Darren George and Paul Mallery, SPSS For Windows Step By Step, A Simple Guide and Reference, 10th Edition (America: Pearson, 2010)
References: Arthur Asa Berger, Media and Communication Research Methods, An Introduction to Qualitative and Quantitative Approaches (Sage Publications, 2000)

John W. Creswell, Research Design, Qualitative, Quantitative and Mixed Methods Approaches, 2nd Edition (Sage Publications, 2003)

Ian Brace, Questionnaire Design, How to Plan, Structure and Write Survey Material for Effective Market Research (İngiltere: Kogan Page, 2004)

Filiz Çakar, Sosyal Bilimlerde İstatistik (Alfa Yayınları, 2000)

Şener Büyüköztürk, Veri Analizi El Kitabı, İstatistik, Araştırma Deseni, SPSS Uygulamaları ve Yorum, 4. Basım (Pegem yayıncılık, 2004)

Darren George and Paul Mallery, SPSS For Windows Step By Step, A Simple Guide and Reference, 6th Edition (America: Pearson, 2006)

Andy Field, Discovering Statistics Using SPSS, 2nd Edition (Sage Publications, 2005)

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 0
Homework Assignments 2 % 10
Project 1 % 20
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 13 75
Laboratory 13 75
Final 3 45
Total Workload 195

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 4
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.