Computer Science 550 - Introduction to Simulation

Using computers for system design and decision making under uncertainty. Monte Carlo methods, modeling discrete-event stochastic systems, random number generation, time-advance mechanisms, output analysis, simulation-based optimization.

Junior and Senior Computer Science majors may enroll in this course if they have completed COMPSCI 187 and STATISTC 515 with a grade of C or better. PREVIOUSLY COMPSCI 590M. LECT 01 FOR UNDERGRADS; LECT 02 FOR GRADS. SEATS HELD IN LECT 02 FOR INCOMING GRAD STUDENTS. SOME BACKGROUND IN STOCHASTIC PROCESSES IS HELPFUL, BUT NOT REQUIRED, AS THE MATERIAL WILL BE DEVELOPED IN CLASS. INSTRUCTOR PERMISSION REQUIRED FOR UNDERGRADUATE IE MAJORS MEETING PREREQUISITES AND GRADUATE IE STUDENTS. STUDENTS NEEDING INSTRUCTOR PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.