CS 590M: Introduction to Simulation

Prof. Peter J. Haas

Spring, 2020

Lecture Slides

Slides will usually be posted after each lecture is completed. If a slide deck is marked "partial", then it comprise the slides from the current unit that have been discussed in class so far. At the end of each unit, a "handout" version will be posted, with no annotations but in a compact form.

• Logistics overview
• Lecture 1: Introduction (Handout)
• Lecture 2: Simulation of Discrete Time Markov Chains (Handout)
• Lecture 3: Discrete-Event Systems and GSMPs (Handout)
• Lecture 4: Input Distributions (Handout)
• Lecture 5: Generation of Non-Uniform Random Numbers (Handout)
• Lecture 6: Uniform Variate Generation (Handout)
• Lecture 7: Event Lists (Handout)
• Lecture 8: Estimating Nonlinear Functions of Means (Handout)
• Lecture 9: Quantile Estimation (Handout)
• Lecture 10: Steady-State Estimation (Handout)
• Lecture 11: Efficiency Improvement (Handout)
• Lecture 12: Making Decisions via Simulation (Handout)
• Lecture 13: Experimental Design for Simulation (Handout)

Last modified 28 April 2020