Graduate Education  

UCSD is pioneering education and graduate training in systems biology. The core of this program consists of three courses:

BENG 211. Systems Biology and Bioengineering I: Biological Components      Components of biological systems, their biochemical properties and function. The technology used for obtaining component lists. Relationship within and integration of component lists. Structured vocabularies and component ontologies. Algorithms for comparative approaches in deciphering and mining component lists. Prerequisite: BENG 230A or BIMM 100 or consent of instructor.

BENG 212. Systems Biology and Bioengineering II: Network Reconstruction      This course will cover the process of reconstructing complex biological reaction networks. Reconstruction of metabolic networks, regulatory networks and signaling networks. Bottom-up and top-down approaches. The use of collections of historical data. The principles underlying high-throughput experimental technologies and examples given on how this data is used for network reconstruction, consistency checking, and validation. Prerequisite: BENG 211 or consent of instructor.

BENG 212 Course Syllabus - Under Development

BENG 213. Systems Biology and Bioengineering III: Building and Simulating Large-scale In Silico Models      Mathematical models of reconstructed reaction networks and simulation of their emergent properties. Classical kinetic theory, stochastic simulation methods and constraints-based models. Methods that are scalable and integrate multiple cellular processes will be emphasized. Existing genome-scale models will be described and computations performed. Emphasis will be on studying the genotype-phenotype relationship in an in silico model driven fashion. Comparisons with phenotypic data will be emphasized.. Prerequisite: BENG 212 or consent of instructor.

     
 

Copyright©2004 Regents of the University of California. All rights reserved.
Last modified Wednesday, March 17, 2004