Computational and Systems Biology Track
Total Track Hours must equal 15 hours from the College of Engineering
Computational and Systems Biology combines mathematical, statistical, and computational methods with molecular biology to understand and control the complex systems that regulate human biological processes. In this track of study you will receive training in genomic biology, biotechnology instrumentation, bioinformatics, and statistical and computational modeling. Application areas include disease modeling, development of analytical methods for decoding genetic information, pharmaceutical design, and development of personalized medical informatics systems.
To view the Computational and Systems Biology Curriculum Map, click here.
To view the Course Catalog for course offerings and prerequisites, click here.
The following curriculum modifications should be followed*:
- CS 125 for CS 101
*An advisor-approved Curriculum Modification form is required to receive appropriate degree credit. See Department Office.
Students following this track may take:
|ABE 440||Applied Statistical Methods I (4 hr)|
|BIOE 424||Systems Bioengineering (3 hr)|
|BIOE 430||Introduction to Synthetic Biology (3 hr)|
|BIOE 498 JI||Finite Element Methods in Biomedicine (3 hr)
|CS 225||Data Structures (4 hr)
|CS 398 DL||Deep Learning (3 hr)
|CS 411||Database Systems (3 hr)|
|CS 412||Introduction to Data Mining (3 hr)
|CS 440||Artificial Intelligence (3 hr)|
|CS 465||User Interface Design (3 hr)|
|CS 466||Introduction to Bioinformatics (3 hr)
|ECE 490||Introduction to Optimization (3 hr)|
|IE 310||Deterministic Models in Optimization (3 hr)|
|IE 370||Stochastic Processes and Applications (3 hr)|
|NPRE 461||Probabilistic Risk Assessment (3 hr)
|NPRE 498 PRA||Advanced Risk Analysis (3 hr)
|SE 423||Mechatronics (3 hr)|
|TMGT 461 TMD and TME||Technology, Engineering and Management Final Projects (4 hr)