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Course Description |
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Course Name |
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Marketing Research |
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Course Code |
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EMG43 702 |
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Course Type |
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Compulsory |
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Level of Course |
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Second Cycle |
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Year of Study |
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1 |
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Course Semester |
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Fall (16 Weeks) |
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ECTS |
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6 |
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Name of Lecturer(s) |
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Prof.Dr. FATMA DEMİRCİ OREL |
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Learning Outcomes of the Course |
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Learn marketing reserach methods and their applications.
Learn the role of marketing research on specfying marketing problems.
Have knowledge about specfying research question and creating research model in marketing research process.
Have knowledge about sampling and data gathering methods in marketing research process. Can use statistical package programs and analyze datas through marketing research methods and comment on findings at beginner level.
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Mode of Delivery |
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Distant |
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Prerequisites and Co-Prerequisites |
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None |
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Recommended Optional Programme Components |
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None |
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Aim(s) of Course |
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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. |
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Course Contents |
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This course consists of the subjects of definition 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. |
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Language of Instruction |
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Turkish |
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Work Place |
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Electronic Environment |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Introduction to Marketing Researches |
Reading related materials |
Lecture and examples |
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2 |
Steps of Marketing Research Process |
Reading related materials |
Lecture and examples |
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3 |
Qualitative Research Techniques |
Reading related materials |
Lecture and examples |
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4 |
Secondary Data Gathering |
Reading related materials |
Lecture and examples |
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5 |
Questionnaire Method |
Reading related materials |
Lecture and examples |
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6 |
Questionnaire Design |
Reading related materials |
Lecture and examples |
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7 |
Research Design and Sources of Potential Mistakes |
Reading related materials |
Lecture and examples |
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8 |
Midterm Exam |
Studying for exam |
Multiple choice exam |
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9 |
Scale and Scaling |
Reading related materials |
Lecture and examples |
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10 |
Sampling and Sampling Methods |
Reading related materials |
Lecture and examples |
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11 |
Sampling and Sampling Methods |
Reading related materials |
Lecture and examples |
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12 |
Data Preparing and Hypothesis |
Reading related materials |
Lecture and examples |
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13 |
Data Preparing and Hypothesis |
Reading related materials |
Lecture and examples |
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14 |
Conceptual Approahes in Marketing Researches |
Reading related materials |
Lecture and examples |
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15 |
Neuromarketing-Evaluation of Projects |
Reading related materials-Preparing projects |
Lecture and examples, feedback for students |
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16/17 |
Final Exam |
Studying for exam |
Written and multiple choice exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Prof.Dr.Mahir Nakip, Pazarlama Araştırmaları (Teknikler ve SPSS Destekli Uygulamalar), Seçkin Yayınları, Ankara 2006.
Pazarlama Araştırmaları, Prof.Dr.Kemal Kurtuluş, Genişletilmiş 7. Basım, Literatür Yayınları: 114, Şubat, İstanbul, 2004.
Ercan Gegez, Pazarlama Araştırmaları,Beta Yayınları, İstanbul, 2007.
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| Required Course Material(s) |
Ayhan Ural ve İbrahim Kılıç, Bilimsel Araştırma Süreci ve SPSS ile Veri Analizi, 2. Baskı, Detay Yayıncılık, Ankara, 2007.
Marketing Research Essentials, Carl McDaniel, Roger Gates, John Wiley&Sons,Inc., 2006.
Bilimsel Araştırma Yöntemi, Prof.Dr.Niyasi Karasar, Nobel Yayın Dağıtım, Ankara 2000.
Journals: Journal of Marketing, Journal of Marketing Research.
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
60 |
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Homeworks/Projects/Others |
1 |
40 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Have ability to research on the science of marketing, to form the basis for the decision-making process. |
5 |
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2 |
Have ability to determine the marketing management approaches, applications and methods which are appropriate for the business’s sector, growth, resources, culture, goals and aims. |
4 |
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3 |
Have ability of planning, practising and contolling stages of marketing function. |
4 |
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4 |
Can understand marketing science as an interdisciplinary context systematically. |
5 |
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5 |
Can analyze academic materials of marketing, recognize and evaluate different aspects in marketing area. |
5 |
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6 |
Can explain how to create the basic theoretical models of marketing management in literature and how to implement numerical and statistics methods. |
5 |
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7 |
Can determine the appropriate methods to solve the marketing problems faced by the company. |
5 |
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8 |
Can implement marketing management methods through following the fundamental steps. |
4 |
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9 |
Can develop the capabilities of using database and statistical programmes to support decision-making process. |
5 |
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10 |
Can take responsibility as an individual and/or as a part of a team, can lead and work effectively. |
5 |
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11 |
Follow latest developments in the field of marketing and continiously update himself in recognition of the need for lifelong learning. |
5 |
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12 |
Have ability to benefit from different sources, synthesize the information obtained and present effectively in the framework of academic rules. |
5 |
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13 |
Have abiliy to make appropriate speech and presentations for academic and business life on marketing issues by using visual materials in Turkish and at least one different language. |
3 |
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14 |
Have ability to inquiry traditional approach, practice and methods and, if he considers it necessary, to develop and implement new ways of working. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
25 |
25 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
15 |
15 |
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Final Exam |
1 |
15 |
15 |
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Total Workload: | 139 |
| Total Workload / 25 (h): | 5.56 |
| ECTS Credit: | 6 |
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