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  Course Description
Course Name : Marketing Research

Course Code : MG3 702

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 4

Name of Lecturer(s) : Prof.Dr. FATMA DEMİRCİ OREL

Learning Outcomes of the Course : Learns marketing reserach methods and their applications.
Uses statistical package programs and analyze datas through marketing research methods and comment on findings at beginner level.
Learns the role of marketing research on specfying marketing problems.
Has knowledge about specfying research question and creating research model in marketing research process.
Has knowledge about sampling and data gathering methods in marketing research process.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The aim of this course is to make students capable of defining marketing problems clearly, specifying appropriate research model for existing problem, gathering data systematically, analyzing and commenting on findings.

Course Contents : This course consists of the subjects of definiton of marketing research, maketing research environment, types of marketing research, marketing reserach process and mistakes, data gathering process, scales, sampling, hypothesis tests and data analysis.

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 The Definition of Marketing Research Reading related parts from required materials Lecture, examples and discussion
2 Marketing Research Environment Reading related parts from required materials Lecture, examples and discussion
3 Marketing Research Process and Mistakes Reading related parts from required materials Lecture, examples and discussion
4 Sources of Data Reading related parts from required materials Lecture, examples and discussion
5 Determining Project Subjects Reading related parts from required materials Lecture, examples and discussion
6 Tools of Data Gathering Reading related parts from required materials Lecture, examples and discussion
7 Measurement and Scaling in Marketing Research Reading related parts from required materials Lecture, examples and discussion
8 Midterm Exam Studying for exam Written and multiple choice exam
9 Sampling Reading related parts from required materials Lecture, examples and discussion
10 Preparing Data and Hypothesis Tests Reading related parts from required materials Lecture, examples and discussion
11 Preparing Data for SPSS Reading related parts from required materials Lecture, examples and discussion
12 Data Analysis Reading related parts from required materials Lecture, examples and discussion
13 Data Analysis Reading related parts from required materials Lecture, examples and discussion
14 Presentations of Term Project Preparing for presentation Presentations
15 Presentations of Term Project Preparing for presentation Presentations
16/17 Final Exam Studying for exam Written and multiple choice exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Prof.Dr. Ercan Gegez, Pazarlama Araştırmaları,Beta Yayınları, 3. Baskı, İstanbul, 2010.
Required Course Material(s)  Bilimsel Araştırma Yöntemi, Prof.Dr.Niyasi Karasar, Nobel Yayın Dağıtım, Ankara 2000.
 Basic Marketing Research, Naresh Malhotra, 4th Edition, Pearson, USA, 2012.
 Pazarlama Araştırmaları, Prof.Dr.Kemal Kurtuluş, Genişletilmiş 7. Basım, Literatür Yayınları: 114, Şubat, İstanbul, 2004.
 Sosyal Bilimlerde Nicel Araştırma Yöntem ve Teknikleri, Hüseyin Bal, Fakülte Kitabevi, Isparta, 2009.
 Bilimsel Araştırma Süreci ve SPPS ile Veri Analizi, Ayhan Ural, İbrahim Kılıç, Detay Yayıncılık, Ankara, 2006.


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 1 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Has the ability to list, describe and explain the relationship between the terms which belong to financial management, accounting management, production management, marketing management, management organization and numerical methods. 2
2 Has the ability to list,describe the basic theoretical models of business administration, and explain the aim of usage of the models; indicate the strength and weakness of each model and/or methods 5
3 Determines the appropriate methods to solve the problems faced by the company. 5
4 Implements business management methods through following the fundamental steps 3
5 Uses the basic techniques of financial analysis to achieve the best result 5
6 Takes responsibility as an indivicual and/or as a part of a team, can lead and work effectively. 5
7 In recognition of the need for lifelong learning and continuous self-renewal, tracks the latest developments in the field of business administration. 5
8 Has ability to use different sources in academic circumstances , synthesize the information obtained in a new field of business administration and present effectively 5
9 Uses Turkish and at least one foreign language in accordance with the requirements of academic life and work life. 5
10 Has ability to inquire and apply the traditional methods,and ability to develop and implement new ways of working if necessary. 5
11 Has ability to research on the science of business administration, to form the basis for the decision-making process. 5
12 Has ability ro determine the business management approaches, application and methods which are appropriate for the business’s sector, growth, resources, culture, goals and aims. 3
13 Explains how to create the basic theoretical models of business and new management in literature and how to implement numarical and statistics methods. 5
14 Has the ability to explain and interpret the data which is obtained as a result of constitution/ application of theoretical models of business management. 5
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 1 10 10
    Mid-term Exams (Written, Oral, etc.) 1 10 10
    Final Exam 1 10 10
Total Workload: 100
Total Workload / 25 (h): 4
ECTS Credit: 4