Undergraduate Studies

Computational and Systems Biology Track:

Total Track Hours must equal 15

Computational and Systems Biology is no longer a “pre-approved” track. Students interested in this track should make an appointment with Professor Sheng Zhong or Dr. Jenny Amos for course advising. 

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. BIOE students following this track of study 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.

The following curriculum modifications should be followed*:

• CS 125 for CS 101
• STAT 400 for IE 300

*An advisor approved Curriculum Modification form is required to receive appropriate degree credit. See Department Office.

Students following this track may take (with advisor approval):

CS 225	Data Structures (4 hr)
	Prerequisite: CS 125 or ECE 190; CS 173 or MATH 213.
CHBE 474	Metabolic Engineering (3 hr)
	Prerequisite: MATH 225 and MATH 285 or consent of instructor.
CS 412	Introduction to Data Mining (3 hr)
	Prerequisite: CS 225 or CS 400.
CS 466	Introduction to Bioinformatics (3 hr)
	Prerequisite: CS 225.

Other 400 level CS or "Systems" course (3 or 4) -- with advisor approval.

To ensure adequate preparation, the following is recommended as a free elective:

MATH 225	Introductory Matrix Theory (2 hr)
	Prerequisite: MATH 220 or MATH 221; or equivalent.