BIOE 505 A - Computational Bioengineering
Mathematical and statistical models plus accompanying computational techniques central to many aspects of systems biology and bioengineering research. 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. Course Information: Same as CSE 505. 4 graduate hours. No professional credit. Prerequisite: STAT 400.
Option 1Number of Required Visit(s): 0
Course Level: Graduate