BIOE 505
Fall 2009 All Classes
Credit: 4 hours.
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.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
54270
|
Lecture-Discussion
|
A
|
9:00AM
-10:50AM
|
TR
|
Location Pending
|
Zhong, S
|
|