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 1. Develops and deepens his / her knowledge in the field of tourism and hotel management based on his / her undergraduate qualifications.
- P02 2. Have knowledge about management and organization issues in the field of Tourism and Hotel Management.
- P03 3. Has knowledge about production management and marketing in Tourism and Hotel Management.
- P04 4. Tourism and Hotel Management, accounting and finance issues.
- P05 5. Evaluate the concepts, ideas, data, and information in the sectoral and academic fields and solve the problems.
- P06 6. Understands the interaction between disciplines related to tourism.
- P07 7. Evaluate the sectoral conjuncture and make predictions about the future, determine strategic goals and targets, plan and implement them.
- P08 8. Can prepare projects for the sector; take an active role in the programming, evaluation and execution phases.
- P09 9. Have cognitive abilities such as attention, memory, judgment and evaluation, reasoning, problem-solving and decision making, understanding, and language production.
- P10 10. Learn how to learn by learning from their mistakes by making solutions to the problems they face and adopt the principle of lifelong learning.
- P11 11. Analyze the business, its competitors, the sector and the sectoral competitiveness through various graphs, matrices and tables.
- P12 12. Knows at least one foreign language which is valid in the field of tourism management.
- P13 13. Has sufficient knowledge about the sector and business issues such as occupational safety, worker health, social security, quality and sustainability.
- P14 14. Has knowledge about his / her field and can transfer his / her knowledge, predictions, and thoughts orally and in writing.
- P15 15. Can apply all stages of tourism industry-related businesses from investment decision to operate.
- P16 16. Strategic, tactical and operational aspects of business management; comprehend local, national, international and global dimensions.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.