ECE 2180 - COMPUTING AND BIOLOGY
Minimum Credits: 3
Maximum Credits: 3
This course explores the connections between engineering concepts (such as digital computation, circuit theory, synchronous and asynchronous circuits, distributed computing, simulation vs. emulation, computer architecture) and biological systems. The main theme of the course is applying engineering methods when studying biological systems, but also exploring how these methods can inform design of computing systems. Topics include: discrete and analog modeling of biological networks; model inference vs. model design; data-based vs. knowledge-based modeling in biology; modeling correlations vs. causality in biology; synchronous and asynchronous biological circuits, and stochasticity in biology; static vs. dynamic analysis of biological systems; role of feedback and feed-forward loops, timing analysis; sensitivity, robustness analysis, and model reduction in biological systems; hardware design for biology; role of advanced computer systems in medicine; design of synthetic biological circuits; biologically-inspired computing.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Click here for class schedule information.
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