Computational Bioengineering Focus Area

(Formerly called Bioinformatics Focus Area)

What is Computational Bioengineering? 

Computational Bioengineering combines principles of engineering, biology, and medicine to improve human health using computational approaches. These approaches are applied from atomic resolution up to an entire organ or system of organs, including the following examples that draw from on ongoing research in the department: 

  • at atomic resolution, cellular building blocks (e.g., proteins, nucleic acids, lipids, sugars) are simulated to understand their function in healthy cells, and how genetic mutations cause disease, and that can ultimately lead to the design of new therapeutics.
  • at the resolution of cells and tissues, computational bioengineers simulate response to injury to understand and facilitate wound healing and design implants.
  • at the resolution of organs and organ systems, imaging methods (e.g., CT, MRI) are used to understand the biomechanics and model organs (e.g., lung, heart, brain, etc.).
  • across multiple resolutions and time scales, “multi-omics” analysis of large data sets generated from nucleic acid sequencing (DNA and RNA), metabolomics, and etc., are used to help understand the genetic basis of disease mechanisms and design precision treatments.

Given the scope and complexity involved in probing biology across resolutions, this area builds on fundamental disciplines (e.g., mathematics, physics, chemistry, statistics, computer science, engineering) to model, analyze, and understand biological data. This understanding forms the basis for translational biomedical applications that improve human health. Students in Computational Bioengineering will pursue careers in a broad range of fields including:   biomedical software engineering, biomolecular engineering, biotechnology, cell-based therapy development, gene therapies, genetic engineering, computational drug design and/or modeling, medical technologies, biological devices and/or embedded systems, biological sensors, systems and network biology, bioinformatics, computational biology, machine learning, or health informatics.


Computational Bioengineering Curriculum Map | Sample Four-Year Plan 3/23/22

Computational Bioengineering Required Courses  
ENGR:2730    
 Computers in Engineering
ECE:3330     
 Intro to Software Design
BME:4310    
 Computational Biochemistry
BME:5330    
 Computational Bioinformatics
 
Computational Bioengineering Electives (please consult this guide when selecting electives that have machine learning content)
Engineering Topics:
ECE:5330      Graph Algorithms & Combinatorial Optimization
ECE:5450     
Machine Learning
ECE:5820      Software Engineering Languages & Tools
*ENGR:2130     Thermodynamics
*ENGR:2995     Intro to AI and Machine Learning
Other Suggestions:
ANTH:2320     Origins of Human Infectious Disease
BIOL:4213    
Bioinformatics
BIOL:2512    
Fundamental Genetics
BIOL:3314    
Genomics
CHEM:5431     Statistical Thermodynamics I (spring semester, even years)
CHEM:5436     Electrical Structure & Informatics Chemistry (check MyUI for offerings)
CS:3330     
Algorithms
CS:5350     
Design and Analysis of Algorithms
ECE:5800     
Fundamentals of Software Engineering
ECE:5820     
Software Engineering Languages and Tools
BME:5435      Systems Biology for BME
ECE:5995:0001     Cont. Topics in ECE: Applied Machine Learning
BME:5441     Numerical and Statistical Methods for Bioengineering (fall semester, odd years)

Note: At least two electives (6 s.h.) must be from the list of Engineering Topics. An additional 21 s.h. of electives are also required (suggested electives list, minor, or certificate courses).
Please check MyUI for the most up to date course offerings and pre/corequisites.
Terminology from “Track” to “Focus Area” was updated in the website text on 03/16/21

*Computational Bioengineering students can take ENGR:2130 as an Engineering Topic if they have taken ENGR:2995 as an Engineering Core (and vice versa)

Check the Computational Bioengineering Curriculum Map and Sample Four-Year Plan links above for more details.

 
Computational Bioengineering Academic Advisors


Terry Braun

Thomas Casavant

Michael Schnieders

 

Link to previous Bioinformatics Focus Area Curriculum Map