OS3307 Modeling Practices for Computing

An applied course in modeling and understanding systems where randomness plays a significant role. Topics include basic probability and statistics, queuing models, Monte Carlo and discrete-event simulation, least squares curve fitting, and elements of statistical design of experiments. The focus will be on applications of these techniques in a computer science context.

Prerequisite

Discrete Math, Intro Programming

Lecture Hours

4

Lab Hours

1

Quarter Offered

  • Fall
  • Spring