An introduction to the modelling and simulation of stochastic systems; programming language issues; model and tool design; input data modelling; simulation experiments; and the interpretation of simulation results.
This course may not be repeated for credit.
Notes
- Mathematics 321 is recommended over STAT 205 or 211 or 213 as preparation for this course. Computer Science 441 is also recommended as preparation for this course.
Prerequisite(s)
- Computer Science 457 and one of Mathematics 321 or Statistics 205 or 211 or 213 or 321.
SyllabusSections
This course will be offered next in
Fall 2023.