Course Websites

BIOE 505 - Computational Bioengineering

Last offered Fall 2022

Official Description

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.

Related Faculty

Computational BioengineeringCB54270LCD41200 - 1350 T R  0018 Campus Instructional Facility Sergei Maslov