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Course Description Course Name : Marketing Research Course Code : MG43 702 Course Type : Compulsory 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 : Knows marketing reserach methods and their applications. Uses statistical package programs and analyzes datas through marketing research methods and comments on findings at beginner level. Knows 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 Introduction to Marketing Researches Reading related parts Lecture, examples and discussion 2 Explorative Researches and Qualitative Studies Reading related parts Lecture, examples and discussion 3 Sources of Data Gathering Reading related parts Lecture, examples and discussion 4 Determining of Project Subjects Reading related parts Lecture, examples and discussion 5 Determining Project Subjects Reading related parts Lecture, examples and discussion 6 Observation Methods Reading related parts Lecture, examples and discussion 7 Scales in Marketing Researches Reading related parts Lecture, examples and discussion 8 Midterm Exam Studying for exam Written and multiple choice exam 9 Sampling Process Reading related parts Lecture, examples and discussion 10 Introduction to Data Analysis Reading related parts Lecture, examples and discussion 11 Preparing Data For Analyze Reading related parts Lecture, examples and discussion 12 Data Anaysis Reading related parts Lecture, examples and discussion 13 Data Anaysis Reading related parts Lecture, examples and discussion 14 Presentations of Term Project Preparation for presentation Presentations 15 Presentations of Term Project Preparation 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)  Pazarlama Araştırmaları, Prof.Dr.Kemal Kurtuluş, Genişletilmiş 7. Basım, Literatür Yayınları: 114, Şubat, İstanbul, 2004.  Basic Marketing Research, Naresh Malhotra, 4th Edition, Pearson, USA, 2012.  Bilimsel Araştırma Yöntemi, Prof.Dr.Niyasi Karasar, Nobel Yayın Dağıtım, Ankara 2000.  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 Have the ability and the knowledge to plan, practise and control stages of marketing function. 5 2 Can understand marketing science as an interdisciplinary context and in a systematic way 5 3 Can analyze academic materials of marketing, recognize and evaluate different aspects in marketing area. 5 4 Can explain how to create the basic theoretical models of marketing management in literature and how to implement numerical and statistics methods. 5 5 Can determine the appropriate methods to solve the marketing problems faced by the company. 5 6 Can implement marketing management methods by following the fundamental steps. 3 7 Can develop the capabilities of using database and statistical programmes to support the decision-making process. 5 8 Can take responsibility as an individual and/or as part of a team, can lead and work effectively. 4 9 Follows the latest developments in the field of marketing and continiously updates himself in recognition of the need for lifelong learning. 5 10 Have the ability to benefit from different sources, synthesize the information obtained and present it effectively in the framework of academic rules. 5 11 Have the 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 12 Have the ability to inquire into the traditional approaches, practices and methods and, if considered necessary, to develop and implement new ways of working. 5 13 Have the abiliity to research on the science of marketing to form the basis for the decision-making process. 5 14 Have the 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 * 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 3 42 Assesment Related Works     Homeworks, Projects, Others 1 20 20     Mid-term Exams (Written, Oral, etc.) 1 20 20     Final Exam 1 20 20 Total Workload: 144 Total Workload / 25 (h): 5.76 ECTS Credit: 6