DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT
- Course
- BUSN531 - DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT
- Department
- Master of Business Administration - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 8
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Prof. Dr. Cem TANOVA
- Prerequisite
- -
Course Description
This course covers a description of the research process in general and each of the steps involved in more detail. The course focuses on alternative ways of carrying out each step and guidelines for selecting among these alternatives according to the needs of a specific research problem. The course also describes using software packages like SPSS and interpretation of the results of data analysis. Course is designed to enable student to apply commonly used statistical techniques to different datasets. For this purpose, the course will focus on descriptive analysis, correlation, t-test, ANOVA, regression and mediation and moderation analysis. The students will use SPSS software to work on the datasets.
DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm | Midterm | 40 |
| Final | Final | 45 |
| Project | Project | 15 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction of the course, overview / Research process |
| Week 2 | Descriptive statistics |
| Week 3 | Introduction to SPSS/Data cleaning |
| Week 4 | Descriptive statistics (Class Practice) |
| Week 5 | Reliability and validity |
| Week 6 | Reliability and validity (Class Practice) |
| Week 7 | Reliability and validity (Class Practice) |
| Week 8 | Midterm |
| Week 9 | T-test, ANOVA |
| Week 10 | T-test, ANOVA (Class Practice) |
| Week 11 | Correlation |
| Week 12 | Correlation (Class Practice) |
| Week 13 | Regression |
| Week 14 | Regression (Class Practice) |
| Week 15 | Data Practice |
Reference Books & Course Materials
- 01 Field, A. 2024. Discovering Statistics Using IBM SPSS Statistics, Sage, London.
- 02 Pituch, K.A. & Stevens, J.P. 2016. Applied multivariate statistics for the social sciences, Taylor& Francis: New York.
- 03 Te Grotenhuis, M. & Matthijssen, A. 2016. Basic SPSS Tutorial, Sage: UK.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 PO1 Been able to demonstrate their learned skills and knowledge regarding business related issues and research which they can use continuously in their personal and business life.
- P02 PO2 Obtained theoretical and practical information from the courses that allowed students to learn and work independently.
- P03 PO3 Been ensured that they learnt by increasing their level of knowledge and skills which are necessary in their field.
- P04 PO4 Increased their creativity and analytical thinking and developed crucial skills which are needed to be applied both in their studies, research, and future careers.
- P05 PO5 Adopted and implemented ethical principles and moral values regarding the use of technology in their studies and professional lives by creating an awareness on using the technological imperatives.
- P06 PO6 Designed their theoretical and practical knowledge in a way that they could make use of in a collaborative usage and various working contexts.
- P07 PO7 Enrolled in intercultural or international projects which could provide opportunities to develop their skills and implement them successfully in their studies, research and future careers.
- P08 PO8 Improved their communication skills successfully and been able to implement them in various international education, research and work context by increasing their social capital.
- P09 PO9 Been able to implement their learnt knowledge and research skills into practice through scenarios, case studies, empirical articles and real-life observations.
- P10 PO10 Created awareness and developed ethical undertaking by incorporating the learnt theories with environmental approaches to be further implemented into their research and careers.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.