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Course Description Course Name : Marketing Research Course Code : EMG23 709 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. FATMA DEMİRCİ OREL Learning Outcomes of the Course : Learn marketing reserach methods and their applications. Can use statistical package programs and analyze datas through marketing research methods and comment on findings at beginner level. 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. Mode of Delivery : Distant 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 Introduction to Marketing Researches Reading related parts from required materials Lecture, examples 2 Steps of Marketing Research Process Reading related parts from required materials Lecture, examples 3 Qualitative Research Techniques Reading related parts from required materials Lecture, examples 4 Secondary Data Gathering Reading related parts from required materials Lecture, examples 5 Questionnaire Method Reading related parts from required materials Lecture, examples 6 Questionnaire Design Reading related parts from required materials Lecture, examples 7 Research Design and Sources of Potential Mistakes Reading related parts from required materials Lecture, examples 8 Midterm Exam Studying for exam Multiple choice exam 9 Observation Method Reading related parts from required materials Lecture, examples 10 Scale and Scaling Reading related parts from required materials Lecture, examples 11 Sampling and Sampling Methods Reading related parts from required materials Lecture, examples 12 Data Preparing and Hypothesis Reading related parts from required materials Lecture, examples 13 Data Preparing and Hypothesis Reading related parts from required materials Lecture, examples 14 Conceptual Approahes in Marketing Researches Reading related parts from required materials Lecture, examples 15 Neuromarketing-Evalution of Projects Reading related parts from required materials- Preparing projects Lecture, examples and feedback for students 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.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. Required Course Material(s)  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.  Ayhan Ural ve İbrahim Kılıç, Bilimsel Araştırma Süreci ve SPSS ile Veri Analizi, 2. Baskı, Detay Yayıncılık, Ankara, 2007.   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 Can explain how to create the basic theoretical models of business and new management in literature and how to implement numarical and statistics methods. 5 2 Have ability to explaine and interpret the data which is obtained as a result of constitution/ application of theoretical models of business management 4 3 Have the ability to list, describe and explain the relationship between the terms which blong to financial management, accounting management, production management, marketing management, management organization and numerical methods. 2 4 Have ability to list,describe the basic theoretical models of business administration, and explain the aim of usage of the models; indicate the strenghts and weaknesses parts of each model and/or methods 4 5 can determine the appropriate methods to solve the problems faced by the company. 5 6 Can implement business management methods through following the fundamental steps. 5 7 Can use the basic techniques of financial analysis to achieving the best result. 5 8 Can take responsibility as an indivicual and/or as a part of a team, can lead and work effectively. 5 9 In recognition of the need for lifelong learning and continuous self-renewal tracking the latest developments in the field of business administration. 4 10 Have ability to use of different sources under the rules of the academic, synthesize the information obtained in a new field of business administration and present effectively 5 11 can use Turkish and at least one foreign language in accordance with the requirements of academic life and work life. 3 12 Have ability to practice and methods of inquiry, if he considers it necessary to develop and implement new ways of working. 3 13 Have abiliity to research on the science of business administration, to form the basis for the decision-making process. 5 14 Have ability ro determine the business manaement approaches, application and methods which are appropriate for the business’s sector, growth, resources, culture, goals and aims. 4 * 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 4 56 Assesment Related Works     Homeworks, Projects, Others 1 20 20     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 10 10 Total Workload: 138 Total Workload / 25 (h): 5.52 ECTS Credit: 6