BIOE 505 - Computational Bioengineering
Last offered Fall 2022
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.
|Computational Bioengineering||CB||54270||LCD||4||1200 - 1350||T R||0018 Campus Instructional Facility||Sergei Maslov|