Teaching:
2024 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Wenjia Wang and Rick Chang)
2023 Fall BIOST 2069 Statistical methods for omics data. (2 credit; regular course) (TA: Danyang Li)
2023 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Wei Zong and Wenjia Wang)
2022 Fall BIOST 2069 Statistical methods for omics data. (2 credit; regular course) (TA: Jian Zou)
2022 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Yujia Li and Wei Zong)
2021 Fall BIOST 2069 Statistical methods for omics data. (2 credit; regular course) (TA: Xiangning Xue)
2021 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Yusi Fang and Yujia Li)
2020 Fall BIOST 2069 Statistical methods for omics data. (2 credit; regular course) (TA: Peng Liu)
2020 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Peng Liu and Yusi Fang)
2019 Fall BIOST 2079 Introductory statistical learning for health sciences. (2 credit; regular course) (TA: Yujia Li)
2019 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Zhu Li and Peng Liu)
2018 Spring BIOST 2078 Introductory high-throughput genomic data analysis II: theories and algorithms. (2 credit; regular course) (TA: Tianzhou Ma)
2018 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Zhou Fang and Zhu Li)
2017 Fall BIOST 2055 Introductory high-throughput genomic data analysis I: data mining and applications. (3 credit; regular course) (TA: Ark Fang)
2017 Spring BIOST 2094 Advanced R computing. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Tianzhou Ma and Zhiguang Huo)
2016 Fall BIOST 2021 Special Study: Bayesian data analysis. (2 credit; a special study course) (co-teach with students: Li Zhu, Zhiguang Huo and Tianzhou Ma)
2016 Spring BIOST 2055 Introductory high-throughput genomic data analysis I: data mining and applications. (3 credit; regular course; counts towards the elective requirement of master and PhD degrees in Biostatistics) (co-teach with Dr. Yan Lin) (TA: Silvia Liu)
2015 Fall BIOST 2078 Introductory high-throughput genomic data analysis II: theories and algorithms. (3 credit; regular course; counts towards the elective requirement of master and PhD degree in Biostatistics) (TA: Tianzhou Ma)
2015 Spring BIOST 2094 Statistical computing in R. (2 credit; regular course; supervise senior PhD students to teach) (Lecturer: Tianzhou Ma)
2015 Spring BIOST 2055 Introductory high-throughput genomic data analysis I: data mining and applications. (3 credit; regular course; counts towards the elective requirement of master and PhD degrees in Biostatistics) (co-teach with Dr. Yan Lin) (TA: Chienwei Lin)
2014 Fall BIOST 2078 Introductory high-throughput genomic data analysis II: theories and algorithms. (3 credit; regular course; counts towards the elective requirement of master and PhD degree in Biostatistics) (TA: Zhiguang Huo)
2014 Spring BIOST 2055 Introductory high-throughput genomic data analysis I: data mining and applications. (3 credit; regular course; counts towards the elective requirement of master and PhD degrees in Biostatistics) (co-teach with Dr. Yan Lin) (TA: Ying Ding)
2013 Fall BIOST 2078 Introductory high-throughput genomic data analysis II: theories and algorithms. (3 credit; regular course; counts towards the elective requirement of master and PhD degree in Biostatistics) (syllabus) (TA: Sunghwan)
2013 April-June GenSys5007 Statistical Methods and Algorithms in High-Throughput Genomic Data Analysis. (half-semester guest lectures in National Taiwan University) (syllabus) (TA: Lunching Chang)
2013 Spring BIOST 2055 Introductory high-throughput genomic data analysis I: data mining and applications. (3 credit; regular course; counts towards the elective requirement of master and PhD degrees in Biostatistics) (co-teach with Drs. Yan Lin and Wei Chen) (TA: Serena Liao)
2012 Fall BIOST 2078 Introductory high-throughput genomic data analysis II: theories and algorithms. (3 credit; regular course; counts towards the elective requirement of master and PhD degree in Biostatistics) (co-teach with Dr. Yan Lin) (slides) (TA: Lunching Chang)
2012 Spring BIOST 2055 Introductory high-throughput genomic data analysis I: data mining and applications. (3 credit; regular course; counts towards the elective requirement of master and PhD degrees in Biostatistics) (co-teach with Dr. Yan Lin) (slides) (TA: Shaowu Tang)
2011 Fall BIOST 2078 Introductory theories and algorithms for high-throughput genomic data analysis (2-credit special topic course; this course will be expanded to a 3-credit regular course in fall 2012.) (co-teach with Dr. Yan Lin) (TA: Chi Song)
2011 Spring BIOST 2055 Statistical methods and data mining in microarray analysis (3 credit; regular course) (TA: Xingbin Wang)
2010 Spring BIOST 2055 Statistical methods and data mining in microarray analysis (3 credit; regular course)
2009 Spring BIOST 2055 Statistical methods and data mining in microarray analysis (3 credit; regular course)
2008 Spring BIOST 2055 Statistical methods and data mining in microarray analysis (3 credit; regular course)
2007 Spring BIOST 2055 Statistical methods and data mining in microarray analysis (3 credit; regular course)
2006 Spring BIOST 2055 Statistical methods and data mining in microarray analysis (3 credit; regular course)
2005 Spring BIOST 2070 Statistical methods and data mining in microarray analysis (2 credit; special topic course)
2005 Spring BIOST 2025 Biostatistics seminar
2004 Fall BIOST 2025 Biostatistics seminar
2004 Spring BIOST 2025 Biostatistics seminar