Course Information Suite

Presents mathematical and statistical models together with their accompanying computational techniques that are central to many aspects of systems biology and bioengineering research. Topics include: theory of supervised and unsupervised learning; linear models; dimension reduction; Monte Carlo computation; analysis of gene expression data and genome sequence data; modeling of gene transcription network signaling pathways. Prerequisite: STAT 400.