2019-2020 1st term, IERG 3050Simulation and Statistical Analysis |
The course presents basic techniques of systems simulation concentrating on both theoretical and modeling aspects. It aims to provide students with the ability to model, simulate, and analyze real-world systems. This course focuses on discrete-event simulation, basic statistics and distributions, confidence interval and hypothesis analysis, random variable generation, basic queueing theory, input-output analysis, variance reduction, and experimental design.
August 23, 2019: Piazza signup
Students please sign up Piazza to receive all the course relevant information and assignments.
Week | Topic | Materials |
Week 1: Sept 3, 4 | Course Overview and Introduction of Simulation | Slide 1 |
Week 2: Sept 10, 11 | Review of Basic Probability and Statistics | Slide 2 |
Week 3: Sept 17, 18 | Introduction to Queueing Systems | Slide 3 |
Week 4: Sept 24, 25 | Selecting Input Distributions 1 | Slide 4 |
Week 5: Oct |
Selecting Input Distributions 2 | Slide 5 |
Week 6: Oct 8, 9 | Generating Random Variates | Slide 6 |
Week 7: Oct 15, 16 | Confidence Interval and Hypothesis Testing | Slide 7 |
Week 8: Oct 22, 23 | Output Data Analysis and Variance Reduction | Slide 8 |
- | Rescheduled due to conference travel | |
Week 9: Nov 5, 6 | System Comparison | Slide 9 |
Week 10: Nov 12, 13 | Advanced Topic: Intro to Reinforcement Learning | Slide 10 |
Week 11: Nov 19, 20 | Course Summary and Keypoint Review | |
Week 12: Nov 26, 27 | Project Presentation |