Course Code: N1I00037 Credits: 3
Total Hours: 48
Prerequisites: Advanced Mathematics, Fundamentals of Computer Applications
Target Students: Management and Economics majors
Course Description
Applied Statistics is an essential foundational course designed for students in management and economics disciplines. The course aims to provide students with fundamental methods and tools for data collection, organization, and analysis. By learning basic statistical principles and computational methods, students will develop quantitative analytical skills. The curriculum covers the calculation of fundamental statistical indicators and the application of SPSS software, enabling students to effectively address complex real-world problems. Throughout the course, emphasis is placed on the integration of theory and practice. Students are encouraged to apply their knowledge to real-world data collection, organization, and analysis to enhance problem-solving capabilities. Additionally, the course fosters critical thinking, innovation, and self-learning abilities to meet the growing demand for economic and management professionals in modern society.
Learning Outcomes
By the end of the course, students will be able to:
Understand and apply various indicators of time series analysis.
Master the compilation methods for composite indices and average indices.
Use SPSS for descriptive statistical analysis, correlation analysis, and regression analysis.
Teaching Methods
The course adopts a combination of theoretical instruction and practical experiments, encouraging students to engage in self-exploration and teamwork.
Assessment Methods
Continuous assessment (50%) + Final exam (50%)
Continuous assessment includes homework exercises, experiment reports, questionnaire analysis, and teamwork projects.
