1. Biodiversity Analysis
   (Methods and models for measuring diversity, macroecological patterns and biodiversity theories)
   
   
2. Spatial Data Analysis in Ecology
   (Introduce methods for analyzing spatially correlated point, geostatistical and lattice data)
   
   
3. Advanced Biometrics
   (Introduce multivariate analysis, generalized linear regression, nonparametric statistics, sampling techniques, Bayesian statistics, Monte Carlo simulation)