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Fall classes will be held remotely after November 25th, with some professional programs maintaining in person instruction. Students should check with their instructors regarding any in-person requirements from November 25th through the end of the fall semester.
University at Buffalo

UB Undergraduate Academic Schedule: Spring 2020

This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


BE 406LR - Bio Systems Engineering
Bio Systems Engineering 000 Enrollment Information (not real time - data refreshed nightly)
Class #:   <<<  >>>   Enrollment Capacity:   85
Section:   000   Enrollment Total:   75
Credits:   3.00 credits   Seats Available:   10
Dates:   01/27/2020 - 05/09/2020   Status:   OPEN
Days, Time:   T R , 11:00 AM - 12:20 PM
Room:   Remote view map
Location:   North Campus      
Chained Courses
You must register in one of the class(es) below to get the above section:
Enrollment Requirements
Prerequisites: Pre-Requisite: (EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP) and BE 312 and MTH 306; Approved Biomedical Engineering Majors Only.
  Course Description
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.
             Stefanovic, F look up    
  On-line Resources
Other Courses Taught By: Stefanovic, F