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:
|CS 225||Data Structures (4 hr)
|CS 411||Database Systems (3 hr)|
|CS 412||Introduction to Data Mining (3 hr)
|CS 440||Artificial Intelligence (3 hr)|
|CS 466||Introduction to Bioinformatics (3 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)
|ABE 440||Applied Statistical Methods I (4 hr)|
|IE 310||Deterministic Models in Optimization (3 hr)|
|IE 370||Stochastic Processes and Applications (3 hr)|
|ECE 490||Introduction to Optimization (3 hr)|
|CS 465||User Interface Design (3 hr)|
|SE 423||Mechatronics (3 hr)|
Other 400 level CS or "Systems" course (3 or 4) -- with advisor approval.
To ensure adequate preparation, the following are recommended as a free elective:
|CS 173||Discrete Structures (3 hr)|
|MATH 225||Introductory Matrix Theory (2 hr)
|MATH 415||Applied Linear Algebra (3 hr)