CMP 330 - Computational Techniques for Life and Behavioral Sciences

4 Hour(s)
By way of a variety of examples from Life and Behavioral Sciences, students will develop data analysis, algorithmic design, and mathematical modeling skills. Possible examples are Neural Cluster Simulations, Macroeconomic Simulations, Population Dynamics, Bioinformatics, Disease Transmission Modeling, Simulating Gene Expression, and/or Bone Remodeling Models. Techniques used will include Neural Networks Models, Agent-Based Models, Differential Equations, Cellular Automata, Compartmental Models, and Stochastic Models.

SP, even
Prerequisite(s): CMP 113 or CMP 114, CSC 111 or CSC 112, and MAT 140 or MAT 160