| Course Objectives: |
Objectives The objective of this course is to enable students to learn the processes of data collection, processing, and analysis in the social sciences. The course covers quantitative and qualitative data analysis techniques, statistical methods, data visualization, and interpreting research results.
The course also aims to develop students' analytical thinking, problem-solving, and scientific research skills. The goal is to enable students to obtain reliable and valid results by applying the correct data analysis techniques for research in the social sciences. |
| Course Content: |
The course covers data analysis methods in the social sciences both theoretically and practically. Topics include data collection methods, statistical analyses, use of SPSS/R, hypothesis testing, regression analysis, and interpretation of results. The course enables students to develop their data analysis skills through case studies and projects. |
| Week |
Subject |
Related Preparation |
| 1) |
Introduction to Data Analysis and Basic Concepts |
Textbook and Lecture Notes |
| 2) |
Data Collection Methods |
Textbook and Lecture Notes |
| 3) |
Descriptive Statistics and Data Visualization |
Textbook and Lecture Notes |
| 4) |
Probability and Sampling Methods |
Textbook and Lecture Notes |
| 5) |
Ders Kitabı ve Ders Notları |
Textbook and Lecture Notes |
| 6) |
Correlation and Regression Analysis |
Textbook and Lecture Notes |
| 7) |
Multivariate Analysis Techniques |
Textbook and Lecture Notes |
| 8) |
|
|
| 9) |
Qualitative Data Analysis and Coding |
Textbook and Lecture Notes |
| 10) |
Applied Analysis with SPSS/R Software |
Textbook and Lecture Notes |
| 11) |
Data Cleaning and Preparation |
Textbook and Lecture Notes |
| 12) |
Interpretation of Research Findings |
Textbook and Lecture Notes |
| 13) |
Case Studies and Applied Work |
Textbook and Lecture Notes |
| 14) |
Course Review |
Textbook and Lecture Notes |
| 15) |
|
|
| |
Program Outcomes |
Level of Contribution |
| 1) |
Demonstrates advanced knowledge and skills in contemporary theories, concepts, and practices in the field of business management. |
|
| 2) |
Analyzes complex organizational problems using scientific research methods and evidence-based approaches. |
|
| 3) |
Integrates interdisciplinary knowledge from fields such as management, finance, marketing, human resources, and digital transformation in solving managerial problems. |
|
| 4) |
Develops innovative and strategic solutions to enhance organizational effectiveness in dynamic and global business environments. |
|
| 5) |
Applies critical thinking and problem-solving skills in managerial decision-making processes. |
|
| 6) |
Demonstrates effective leadership, teamwork, and communication skills in multicultural and interdisciplinary environments. |
|
| 7) |
Evaluates the ethical, legal, and social implications of managerial decisions from the perspective of sustainability and corporate responsibility. |
|
| 8) |
Uses digital technologies and analytical tools to support business decisions and measure performance. |
|
| 9) |
Conducts independent research and prepares professional reports or presentations in accordance with academic and managerial standards. |
|
| 10) |
Engages in continuous learning and professional development in the field of business and management. |
|