DATA ANALYSIS & COMPUTER APPLICATIONS IN MANAGEMENT

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)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Field, A. 2024. Discovering Statistics Using IBM SPSS Statistics, Sage, London.
2. 02 Pituch, K.A. & Stevens, J.P. 2016. Applied multivariate statistics for the social sciences, Taylor& Francis: New York.
3. 03 Te Grotenhuis, M. & Matthijssen, A. 2016. Basic SPSS Tutorial, Sage: UK.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. P01 1. To be able to examine the basic problems in the field of Accounting and Finance with scientific methods, to interpret and evaluate the data.
2. P02 2. Muhasebe ve Finans alanındaki problemlere ilişkin uygulamada karşılaşılan karmaşık sorunları çözmek için bireysel ve grup üyesi olarak sorumluluk alabilmek ve çözüm üretebilmek.
3. P03 3. To be able to critically evaluate the knowledge and skills acquired in the fields of Accounting and Finance, to determine learning needs and to carry the learning process to an advanced level.
4. P04 4. To inform experts or non-experts on financial issues, to share their ideas and problems and solution methods by supporting them with quantitative and qualitative data.
5. P05 5. To be able to interpret and evaluate the discussions on the theoretical aspects of Accounting and Finance.
6. P06 6. To be able to identify regional and global problems that directly or indirectly affect financial issues, to develop solutions and strategies based on evidence and research.
7. P07 7. To be able to define, evaluate and interpret the classical and current theories of accounting and finance policies and strategies, differences and relationships between them.
8. P08 8. To have social, scientific and ethical values in the collection, interpretation, announcement and application of data in the field of accounting and finance and to assimilate these values.
9. P09 9. To be able to follow, understand, interpret and analyze the changing trends in accounting and financial activities in the world at an advanced level, and apply innovation and innovative working principles.
10. P10 10. To be able to set goals and take initiatives to achieve them, to be creative and open to criticism and to have professional competencies at an advanced level.
11. P11 11. To have an advanced level of foreign language to follow and use the information in the field and to communicate with colleagues.
12. P12 12. To have advanced computer software and hardware knowledge required by the field of Accounting and Finance, and to be able to use information and communication technologies at an advanced level.
13. P13 13. To be able to use theoretical and practical knowledge gained in the field of Accounting and Finance at an advanced level.
14. P14 14. To be able to benefit from other fields that form the basis of financial policies and to understand the interaction between these disciplines.

Po-Lo Matrix

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