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Simulation - Allowing "What if" Scenarios
Algorithm, Cloud & Security
This workshop aims to provide students with a working knowledge of modelling and simulation. Students will learn how to apply simulation techniques to model, simulate and study systems. It covers techniques in simulation model design, input modelling, model execution and model analysis. There will also be an introduction to parallel and distributed simulation. Students will have hands-on experience using a simulation package to gain a better understanding of how simulation is applied in the real world.
Objectives
Prerequisites
Students interested in this course should have basic knowledge of statistics/probability.
Objectives
- Understand how computer simulation can be used to model complex systems and solve decision problems.
- Learn to use simulation software, such as Arena, to run simulation projects from start to finish.
- Learn how to incorporate statistical methods when designing a simulation.
- Learn how to interpret and validate the results obtained from simulations.
- Communicate insights obtained from the simulation analysis to the lay audience.
Prerequisites
Students interested in this course should have basic knowledge of statistics/probability.
About Professor
Professor Gary Tan
Department of Computer Science, School of Computing, NUS
Prof Tan received his B.Sc (Hons 1st) from the National University of Singapore, and his M.Sc and Ph.D from the University of Manchester, United Kingdom. He has taught many subjects, including Digital Logic, Computer Organisation and Architecture, Unix, and programming. He has won numerous teaching awards for his teaching at NUS, and has been included in the NUS Honour Roll for teaching.
His research interests include parallel and distributed computing, parallel and distributed simulation, Traffic simulation and Crisis management. He has had over 20 years experience in Simulation. For the past seven years, he has been actively conducting research in Distributed Simulation. Currently he is investigating into Crisis Management Simulation and Symbiotic Simulation applied to Transportation Systems.
He has published over 80 refereed journal and conference papers, and has served as program committee member in many reputable international conferences, e.g. Annual Simulation Symposium, and Distributed Simulation and Real-time Applications, and Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). He is currently on the Editorial Board of the International Journal of Modelling, Simulation and Scientific Computation.
He is currently on the Editorial Boards of the International Journal of Modelling, Simulation and Scientific Computation (World Scientific), and Journal of Simulation Modelling Practice and Theory (Elsevier).
Department of Computer Science, School of Computing, NUS
Prof Tan received his B.Sc (Hons 1st) from the National University of Singapore, and his M.Sc and Ph.D from the University of Manchester, United Kingdom. He has taught many subjects, including Digital Logic, Computer Organisation and Architecture, Unix, and programming. He has won numerous teaching awards for his teaching at NUS, and has been included in the NUS Honour Roll for teaching.
His research interests include parallel and distributed computing, parallel and distributed simulation, Traffic simulation and Crisis management. He has had over 20 years experience in Simulation. For the past seven years, he has been actively conducting research in Distributed Simulation. Currently he is investigating into Crisis Management Simulation and Symbiotic Simulation applied to Transportation Systems.
He has published over 80 refereed journal and conference papers, and has served as program committee member in many reputable international conferences, e.g. Annual Simulation Symposium, and Distributed Simulation and Real-time Applications, and Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). He is currently on the Editorial Board of the International Journal of Modelling, Simulation and Scientific Computation.
He is currently on the Editorial Boards of the International Journal of Modelling, Simulation and Scientific Computation (World Scientific), and Journal of Simulation Modelling Practice and Theory (Elsevier).
