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
No program outcomes have been defined.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.