CMPU 250 - Modeling, Simulation and Analysis

1 unit(s)

Principles of computation in the sciences, driven by current applications in biology, physics, chemistry, natural and social sciences, and computer science. Topics include: Discrete and continuous stochastic models, random number generation, elementary statistics, numerical analysis and algorithms, discrete event simulation, and point and interval parameter estimation. Students pursue projects that involve modeling phenomena in two to three different fields and simulate the model in order to understand mechanisms and/or explore new hypotheses or conditions. The Department.

Prerequisite(s): CMPU 102, MATH 126 and MATH 127.

Recommended: CMPU 241 and/or MATH 221 but not required.

Two 75-minute periods.

Not offered in 2022/23.

Course Format: CLS