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 PO1: Endowed with the ability to evaluate self-learning needs adapted to the principle of lifelong learning.
2. P02 PO2: Established a general knowledge of economics sufficient to conduct independent and original research on economic issues and suggest relevant economic policies to solve both microeconomic and macroeconomic problems.
3. P03 PO3: Reached the required knowledge and skills; to understand the foundations, basic framework, and complexity of economic theories; to recognize the contribution and limitations of traditional theories; to explore modern economic theories and modeling of more complex situations; and to apply introduced theories in a discussion of research interests.
4. P04 PO4: Engaged in scientific inquiry, critical thinking, using quantitative and qualitative methods to demonstrate the ability to analyze and make recommendations for complex contemporary economic issues.
5. P05 PO5: Demonstrated the development of critical thinking and scientific reasoning skills with an attention to ethical aspects of data analytics, and been aware of acting in accordance with the ethical standard of scientific research and professional work.
6. P06 PO6: Been equipped with the ability to plan, take responsibility in economic projects individually or within a team for economic decision making for a variety of economic concepts in national and global environment.
7. P07 PO7: Endowed with the ability to communicate and explain effectively economic arguments both in oral and written ways to those with scholar knowledge and non-experts.
8. P08 PO8: Been able to apply economic theory and methods in real life situations which is of primary importance to generate relevant economic policies and conduct economic research.
9. P09 PO9: Developed an ability to conduct economic research and write a thesis connecting the theory and empirical conditions with particular attention to ethical perspectives and social responsibilities.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.