academics

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.

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)
(Prerequisite: CS 125, CS 173)
CS 411 Database Systems (3 hr)
CS 412 Introduction to Data Mining (3 hr)
(Prerequisite: CS 225)
CS 466 Introduction to Bioinformatics (3 hr)
(Prerequisite: CS 225)
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 1 (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)
(Prerequisite: MATH 220 or MATH 221; or equivalent)
MATH 415 Applied Linear Algebra (3 hr)
(Prerequisite: MATH 241)

Bioengineering

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