TÜRKÇE
ENGLISH
Information
| Unit | CEYHAN VOCATIONAL SCHOOL |
| Code | PZR255 |
| Name | Marketing Research |
| Term | 2019-2020 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör. SELİM SOYÇELİK |
| Course Instructor |
Öğr. Gör. SELİM SOYÇELİK
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is not only to give an understanding of stages of marketing research process and planning, applying the marketing research activities to solve various marketing problems but also to improve knowledge and skills to report the research results after the statistical analysis necessary for research.
Course Content
market research process, problem definition, gathering data and preparing research report
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Being able to define the process of marketing research |
| LO02 | Being be able to explain the marketing problem and research design |
| LO03 | Being be able to classify data types and data collecting methods |
| LO04 | Being be able to analyse datum |
| LO05 | Being be able to make the research report |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to marketing research | Lecture notes | |
| 2 | Marketing research process | Lecture notes | |
| 3 | Problem definition | Lecture notes | |
| 4 | Research approaches and research design | Lecture notes | |
| 5 | Data types and data collection tools | Lecture notes | |
| 6 | Developing data collection tool and questionnaire | Lecture notes | |
| 7 | Sampling and sampling approaches | Lecture notes | |
| 8 | Mid-Term Exam | Lecture notes | |
| 9 | Midterm Exam | Lecture notes | |
| 10 | Introduction to data analysis and SPSS | Lecture notes | |
| 11 | Basic summary statistical analysis | Lecture notes | |
| 12 | Analysis techniques to investigate differences | Lecture notes | |
| 13 | Analysis techniques to investigate relationships | Lecture notes | |
| 14 | Writing and presenting analysis report | Lecture notes | |
| 15 | Writing and presenting analysis report | Lecture notes | |
| 16 | Term Exams | Lecture notes | |
| 17 | Term Exams | Lecture notes |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 88 | ||
| Total Workload / 25 (h) | 3,52 | ||
| ECTS | 4 ECTS | ||