• Teaching and Research Development Priorities

Focus of Teaching:

Statistical Methods and Theory:

Provide students with a solid theoretical foundation and methodology in Statistics.

Statistical Computing and Data Analysis:

Emphasize practical application, cultivate students' skills in using statistical software for data analysis.

Applied Statistics:

Teach the practical applications of Statistics in various fields, such as biostatistics, industrial statistics, financial statistics, etc.

 

Focus of Research and Development:

1. Statistical Inference: Delve into the theory of statistical inference to enhance the accuracy and reliability of statistical analysis.

2. Industrial Statistics: Apply Bayesian statistical methods to handle uncertainty and parameter estimation.

3. Biostatistics: Focus on the application of statistical methods in the fields of biology and medicine.

4. Big Data Analytics: Utilize statistical methods to handle large-scale datasets.

5. Time Series Analysis: Study models and prediction methods for time-related data.

6. Statistical Machine Learning: Combine statistical methods with machine learning to develop predictive models.