Teach & Learn

• Statistics  
• Statistical Machine Learning
  
• Seminar and Tech Presentation 

• OfficeHours, MatH²elp, PeerHelp
• AM Student Portal, Olympus
• Center for Teaching Excellence, Portal AA@NDHU

•  Applied Linear Models (2002, 2004, 2005, 2006, 2007, 2008, 2010, 2011), GLMl/Categorical Data Analysis
• Sampling Theory, Hypotheses Testing and Interval Estimation
• Advanced Probability Theory, Grad Study 
• Statistical Machine Learning (2008, 2010)

       Archive.Undergrad

• Intro to Probability (2011)
• Mathematical Statistics (I) (2009, 2010, 2011)
• Regression Analysis
• Time Series Analysis (2006, 2009), Serial Data Analysis, Functional Approximation
• Probability and Statistics  (For Computer Scientists), Intro to Probability
• Intro to Stat and Prob (For nonmajors), (2004, 2005, 2007), Intro to Stat and Proba II
  
• Mathematical Statistics I, Mathematical Statistics II, Statistics (2002, 2003, 2005, 2007, 2008, 2011), Biostatistics (2003)
• Linear Algebra, Calculus; Instructional Method: Mathematics, Instructional Method II: Mathematics
• Math Pedagogy II, Math Pedagogy III