Online or onsite, instructor-led live Repast training courses demonstrate through interactive hands-on practice how to create simulation for agent-based systems using the Repast environment.
Repast training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Repast trainings in Cancun can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Cancun, Punta Cancun ICC
Cancun International Convention Center, Blvd. Kukulcan Km. 9, Cancun, mexico, 77500
Work in the heart of "Punta Cancún", the main business area of the city and within the International Convention Center, wher...
Work in the heart of "Punta Cancún", the main business area of the city and within the International Convention Center, where large events and business shows are held.
This modern business center is strategically located in a busy area, surrounded by banks, hotels, restaurants, shops and a wide variety of services.
Fully equipped offices, ready to start working when you enter
Business lounge to work while traveling
Easily booked meeting rooms
Regus IT High Speed Internet Access
Secure parking
Administrative support on request
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation libraries that have collectively been under continuous development for over 10 years. This four day course in Cancun (online or onsite) explains in detail how to create simulation for agent-based systems using the Repast environment.
Course Objectives
Introduce participants to principles and concepts of agent-based modeling and simulation.
Develop participants’ capacity to read and understand agent modeling programming code.
Equip participants with knowledge, so they understand the importance of accurate and precise modeling.
Increase the participants’ understanding of systems of their own using the Agent-based simulation.
Develop a better capacity to use and code agent-based systems using repast, reLogo.
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