SySc 535 Modeling & Simulation with R and Python

Computer modeling & simulation using general purpose tools, R and Python. Covers statistical and simulation-based approaches for simulating dynamics, Monte Carlo methods for addressing uncertainty and risk, and interacting agents to incorporate heterogeneity and network effects.

Credits

4

Slash Listed Courses

Also offered for undergraduate-level credit as SySc 435 and may be taken only once for credit.

Prerequisite

Recommended preparation: Basic probability & statistics and exposure to calculus; exposure to writing scripts (e.g. Matlab, Mathematica, R, etc.).