Course Summary
Simulation modelling is a prevailing technique to analyse complex systems and enables decision-makers to set up “what-if” questions about the effects of alternative pre-specified decisions on the system's performance. This is a 3-days gentle and effective course for anyone who wants to start learning simulation modelling. The course will start from the very basics and gradually teach the concepts of Discrete Event Simulation as well as Monte Carlo simulation modelling techniques. You will also learn how to implement these techniques in the AnyLogic software environment, which will provide you with hands-on expertise and reinforce your simulation model development skills. With the successful completion of the course, you will have the skill set to build simulation models and analyse the outputs produced by these models, which would help you in making better and more informed decisions.
Learning Outcomes
By completing this course, learners will be able to:
• Build different kinds of simulation models for wide range of applications
• Analyse simulation inputs and outputs
• Identify and measure the risk via simulation models
• Develop interactive state-of-art simulation dashboards
• Design and conduct simulation-based optimization experiments
Duration: 3 days run from 10am - 4pm daily
Delivery Mode: In-person delivery at UNSW City Campus in Reid, Canberra
Course Content This course is broken into the following core learning topics:
● Introduction to Simulation and AnyLogic GUI
● Java basics for AnyLogic
● Monte-Carlo and Discrete Event Simulation Modelling in AnyLogic
● Enhancing simulation models with Animation in AnyLogic
● Statistical simulation input and output analysis
● Simulation-based optimization
● Dashboard development and interaction with data in external environments
● Hands-on practices with cases from healthcare, inventory control, project management, and call-centers
Who should attend
This introductory course is for anyone interested in simulation modelling techniques via utilizing AnyLogic software or Industry Professionals seeking to gain a baseline understanding of the use of simulation models related to decision-making problems. The content in this course can be applied to address a wide range of problems ranging from Logistics to Health Care and more.
Prerequisite: Some familiarity with statistical methods is recommended
What will you receive
• UNSW Canberra certificate of completion/attendance
• Masters credit. UNSW Canberra allows students who have successfully completed a minimum of 12 days of approved professional education courses to use those courses as credit in eligible postgraduate programs.
