BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ARTIFICIAL INTELLIGENCE (ENGLISH, THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| BUS5301 | Research Methods and Ethics | Fall | 3 | 0 | 3 | 9 |
Basic information
| Language of instruction: | English |
| Type of course: | Must Course |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. SERKAN YEŞİLYURT |
| Course Lecturer(s): |
Prof. Dr. AHMET ERKUŞ Prof. Dr. MURAT ÇİNKO Prof. Dr. MURAT AKBALIK Assoc. Prof. FİGEN YILDIRIM Prof. Dr. YILMAZ ESMER Assoc. Prof. BARBAROS BOSTAN Assoc. Prof. YÜKSEL ALPER ECEVİT Assist. Prof. ASLI TOLUNAY Assoc. Prof. GÜLBERK GÜLTEKİN SALMAN Dr. RESUL BALTACI Assist. Prof. MUHTEREM ŞEBNEM ENSARİ |
| Recommended Optional Program Components: | None |
| Course Objectives: | Rapid changes in the business world are creating new decision situations had demand creative solutions and better skills for the acquisition and use of information. As a result of many recent advances in communication technologies force decision-makers to read market conditions and consumer behavior more quickly, efficient and correctly. In this respect, it is very crucial for managers to learn and understand major aspects of research process in order to gather, analyse and interpret market data faster and in a scientific and ethical manner.The main aim of this course,make managers have a deeper understanding of research methods and research process in order to help decision-making process in managing marketing budget of their organisations optimumly. Accordingly the following learning objectives are aimed in the course: |
Learning Outcomes
|
The students who have succeeded in this course; The students who succeeded in this course; 1.Gaining skills in integrating research into marketing planning process. 2.Demonstrating ethical dimensions associated with research. 3.Understainding major steps of conducting scientific research. 4.Developing and writing research proposals. 5.Learning how to execute a research design including collecting, analysing and interpreting data. |
Course Content
| In this course, research questions will be defined and developed , and technics of aresearch analysing will be teached. Basic steps of researching such as collection of data, interpretation of date, research reporting will be learned and examples will study at class. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Definition and scope of research The role of research for marketing decision-making Research sector in the world and Turkey Marketing Research Process | |
| 2) | Management and research problem identification Developing research model | |
| 3) | Research Design Formulation; Exploratory research: Secondary research and qualitative research | |
| 4) | Research Design Formulation; Causal research Descriptive research: | |
| 5) | Descriptive research primary data collection methods: Questionnare, Depth interviews and Observation | |
| 6) | Developing conceptual frameworks and hypotheses Writing research proposals and reports (review) | |
| 7) | Mid-term Exam | |
| 8) | Defining variable Scale and measure development Questionnaire development and coding | |
| 9) | Sampling techniques and sample size determination | |
| 10) | Data analysis: Parametric tests and SPSS application | |
| 11) | Data analysis: SPSS application | |
| 12) | Data analysis: Multivariate data analysis - SPSS application | |
| 13) | Data analysis: Multivariate data analysis - SPSS application | |
| 14) | Overview |
Sources
| Course Notes / Textbooks: | Malhotra, N. K. Basic Marketing Research Applications to Contemporary Issues, Prentice Hall. |
| References: | Malhotra, N. K. and Birks, D. F. Marketing Research: An Applied Approach, 2nd European ed., England: Harlow, Pearson Education. |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 10 |
| Project | 1 | % 20 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Application | 13 | 48 |
| Study Hours Out of Class | 14 | 81 |
| Midterms | 1 | 2 |
| Final | 1 | 2 |
| Total Workload | 175 | |
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |