BIOE 505
Fall 2014 All Classes
Credit: 4 hours.
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.
Prerequisite: STAT 400.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
54270
|
Lecture-Discussion
|
A
|
10:00AM
-11:50AM
|
TR
|
1245 Digital Computer Laboratory
|
Song, J
|
|