University at Buffalo 3 credits Biomedical Engineering
Topics include mathematical techniques for optimization, genomics-genome sequencing, genome sequence annotation, metabolic networks, linear and quadratic optimization for metabolic network optimizations, experimental approaches to metabolic network optimization, c-labeling for metabolic flux determination, examples of using such approaches for high value chemical production optimization, background on cell signaling, biochemical/biophysical description of major signaling pathways including techniques for collecting experimental data, strategies for modeling signaling networks, examples of utilizing a mathematical framework to predict (and manipulate) cellular behavior in response to specific stimuli, examples of cell signaling in disease states, background and description of genetic networks, experimental approaches to genetic networks, strategies for modeling genetic networks, examples of describing/predicting genetic network behavior using mathematical tools, and an overview of genomic and proteomic methodologies. Pre-Requisite: (EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP ) and MTH 306; Biomedical Engineering or Engineering Science Majors Only.
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