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.