Faculty in the group teach in a variety of formal and informal settings; materials that support some of this teaching are archived in this wiki. If you would like to re-use them for your own teaching, please e-mail the course instructor (either Goncalo Abecasis or Hyun Min Kang).
BIOSTAT 666 Statistical and Numerical Methods in Human Genetics
Gene mapping studies aim to study the relationship between genetic variation and susceptibility to human disease. These studies can be used to elucidate the biochemical basis of medically interesting traits leading to knowledge that will, ultimately, help us improve treatment and management of human disease.
Biostatistics 666 is a Masters level course that introduces many of the numerical methods and concepts useful for these types of study.
BIOSTAT 615 / 815 Statistical Computing
Computational methods are an essential tool for tackling many statistical problems. This course aims to provide students with a practical understanding of computational challenges and approaches related to modern statistical computing. Most of the examples will be in C++ and a prior introduction to statistics and computing is recommended.
Most recently, the course was taught by Hyun Min Kang.
BIOSTAT 830 Advanced Topics in Statistical Genetics
This course discusses recent papers and other cutting edge developments related to the methodology for analysis of genetic association studies, with a special focus on papers published in the last 2-3 years and in the analysis of high-throughput sequence data.