INFORMATION TECHNOLOGIES (ENGLISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BUS5301 Research Methods and Ethics Fall 3 0 3 9

Basic information

Language of instruction: English
Type of course: Must Course
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ELA ÜNLER
Course Lecturer(s): Prof. Dr. AHMET ERKUŞ
Prof. Dr. MURAT ÇİNKO
Prof. Dr. MURAT AKBALIK
Assoc. Prof. FİGEN YILDIRIM
Prof. Dr. YILMAZ ESMER
Assoc. Prof. BARBAROS BOSTAN
Dr. Öğr. Üyesi YÜKSEL ALPER ECEVİT
Dr. Öğr. Üyesi ASLI TOLUNAY
Dr. Öğr. Üyesi GÜLBERK GÜLTEKİN SALMAN
Dr. Öğr. Üyesi MUHTEREM ŞEBNEM ENSARİ
Recommended Optional Program Components: None
Course Objectives: Rapid changes in the business world are creating new decision situations had demand creative solutions and better skills for the acquisition and use of information. As a result of many recent advances in communication technologies force decision-makers to read market conditions and consumer behavior more quickly, efficient and correctly. In this respect, it is very crucial for managers to learn and understand major aspects of research process in order to gather, analyse and interpret market data faster and in a scientific and ethical manner.The main aim of this course,make managers have a deeper understanding of research methods and research process in order to help decision-making process in managing marketing budget of their organisations optimumly. Accordingly the following learning objectives are aimed in the course:

Learning Outcomes

The students who have succeeded in this course;
The students who succeeded in this course;
1.Gaining skills in integrating research into marketing planning process.
2.Demonstrating ethical dimensions associated with research.
3.Understainding major steps of conducting scientific research.
4.Developing and writing research proposals.
5.Learning how to execute a research design including collecting, analysing and interpreting data.

Course Content

In this course, research questions will be defined and developed , and technics of aresearch analysing will be teached. Basic steps of researching such as collection of data, interpretation of date, research reporting will be learned and examples will study at class.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Definition and scope of research The role of research for marketing decision-making Research sector in the world and Turkey Marketing Research Process
2) Management and research problem identification Developing research model
3) Research Design Formulation; Exploratory research: Secondary research and qualitative research
4) Research Design Formulation; Causal research Descriptive research:
5) Descriptive research primary data collection methods: Questionnare, Depth interviews and Observation
6) Developing conceptual frameworks and hypotheses Writing research proposals and reports (review)
7) Mid-term Exam
8) Defining variable Scale and measure development Questionnaire development and coding
9) Sampling techniques and sample size determination
10) Data analysis: Parametric tests and SPSS application
11) Data analysis: SPSS application
12) Data analysis: Multivariate data analysis - SPSS application
13) Data analysis: Multivariate data analysis - SPSS application
14) Overview

Sources

Course Notes / Textbooks: Malhotra, N. K. Basic Marketing Research Applications to Contemporary Issues, Prentice Hall.
References: Malhotra, N. K. and Birks, D. F. Marketing Research: An Applied Approach, 2nd European ed., England: Harlow, Pearson Education.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 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 14 42
Application 13 48
Study Hours Out of Class 14 81
Midterms 1 2
Final 1 2
Total Workload 175

Contribution of Learning Outcomes to Programme Outcomes

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