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Course Description Course Name : Marketing Research Course Code : MG 350 Course Type : Optional Level of Course : First Cycle Year of Study : 3 Course Semester : Spring (16 Weeks) ECTS : 5 Name of Lecturer(s) : Prof.Dr. FATMA DEMİRCİ OREL Learning Outcomes of the Course : Learn marketing reserach methods and their applications. 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 questions and creating research models in marketing research process. Have 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 problems, gathering data systematically, analyzing and commenting on findings. Course Contents : This course consists of the subjects of definiton of marketing research, marketing 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 and discussions 2 Explorative Researches and Qualitative Studies Reading related parts from required materials. Lecture and discussions 3 Sources of Data Gathering Reading related parts from required materials. Lecture and discussions 4 Determining of Project Subjects Reading related parts from required materials. Lecture and discussions 5 Questionnaire Design Reading related parts from required materials. Lecture and discussions 6 Observation Methods Reading related parts from required materials. Lecture and discussions 7 Scales in Marketing Researches Reading related parts from required materials. Lecture and discussions 8 Mid-term Exam Preparation for exam Written and multiple choice exam 9 Sampling Process Reading related parts from required materials. Lecture and discussions 10 Introduction to Data Analysis Reading related parts from required materials. Lecture and discussions 11 Preparing Data for Analysis Reading related parts from required materials. Lecture and discussions 12 Data Analysis Reading related parts from required materials. Lecture and discussions 13 Data Analysis Reading related parts from required materials. Lecture and discussions 14 Presentations of Term Projects Preparing for presentation Presentations 15 Presentations of Term Projects Preparing for presentation Presentations 16/17 Final Exam Preparation 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)  -   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 Use the basic enterprise resource planning (ERP) softwares 0 2 List and define the concepts of business management, and explain their relations to each other 5 3 List and define the fundamental conceptual models, numerical and statistical techniques of business administartion and identify their advantages and disadvantages. 5 4 List and define the relationship between the basic concepts of economy and business management ; indicate the strong and weak sides of each method. 4 5 Explain how to create the fundamental conceptual models and how to apply numerical and statistical techniques that are used in business administration. 4 6 Explain how to interpret the results gathered through the application and/or implementation of conceptual models and/or numerical and statistical methods of business management. 4 7 Determine appropriate methods to solve business problems 5 8 Evaluate the results that are obtained from applications of business management methods 5 9 Use the basic numerical and statistical softwares 3 10 Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning 5 11 Use different resources in accordance with academic principles, synthesize the data gathered, and present them effectively in an unfamiliar field. 5 12 Use Turkish and at least one foreign language in accordance with the requirements in academic and business context 4 13 Perceive and interpret the feelings, ideas and behaviours of people appropriately, and express himself/herself accurately in written or oral format 4 14 Question traditional approaches, methods and implementations; develop and implement alternative methods when required 5 15 Recognize and apply social, scientific and professional ethical values. 5 16 Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives 5 17 Monitor external factors such as industrial structures, competition, technologies, economics, politics, cultures that affects the activities of businesses and interpret their impact on businesses 5 18 Take initiative individually or/and as a member of a team, lead and work effectively 5 19 As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning. 0 * 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 10 10     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 10 10 Total Workload: 114 Total Workload / 25 (h): 4.56 ECTS Credit: 5