ECE Focus Area: Bio-Informatics (Computer)



Bioinformatics is an emerging discipline that uses mathematics and computer engineering to help answer questions in bioscience, agriculture and medicine.

Bioinformatics harnesses the power of recent developments in statistics, software engineering, high-performance computing, and artificial intelligence to sort through and prioritize vast datasets to find clues to the causes and cures of human disease.

Students with Bioinformatics training are in high demand in research labs in academia and industry, and have many opportunities to start corporate ventures.

Students interested in this FA are encouraged to consider the course suggestions listed below when completing their Plan of Study Form.

EE Computer Track Requirements Suggested Options
Track Computer 
Depth Elective
(Select One)
ECE:5300 Switching Theory
ECE:5320 High Performance Computer Architecture (Same as: CS:5610)
Breadth Elective
(Select One)
ECE:3400 Linear System II
ECE:3540 Communication Networks
5000-Level ECE Elective
(Select Two)
All 5000-level depth electives listed above and

ECE:5220 Computational Genomics (Same as: IGPI:5330, BME:5330, GENE:5173, BIOL:5320)
ECE:5330 Graph Algorithms and Combinatorial Optimization (Same as: IGPI:5331)
ECE:5450 Machine Learning (Same as: IGPI:5450)

ECE Elective
(Select One)

All breadth, depth and 5000-level ECE electives listed above

Technical Elective
(Select Two)
All breadth, depth and 5000-level ECE electives listed above

Additional Electives
(Select one 3 s.h. & one ≥2 s.h.)

Any of the above OR course selected in consultation with advisor.

BIOC:3110 Biochemistry
BIOL:1311 Human Genetics in the 21st Century
BIOL:1502 Principles of Biology II (Requires prerequisites)
BIOL:2211 Genes, Genomes and the Human Condition
BIOL:2512 Fundamental Genetics (Requires prerequisites)
BIOL:3716 Genetics and Biotech Lab (Requires prerequisites)
BME:5320 Bioinformatics Techniques
CHEM:2210 Organic Chemistry I
CHEM:2220 Organic Chemistry II (Requires prerequisites)
CS:5430 Machine Learning

* Students graduating before Fall 2017 are required to select two additional electives.

Advising Notes

  • All Computer track students satisfy the requirements for a minor in Computer Science.
  • A minor in Mathematics can be earned by including one qualifying Math course in the FA plan.

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