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. Hsinchu onsite live Repast trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
The Hsinchu Wishun centre
HSR Hsinchu Station District Lots, 6/F, No.46 and No.47 in ShiHsin Section, Hsinchu, taiwan, 30274
The Hsinchu Wishun centre is located in the commercial area of Hsinchu THSR district. It only takes 1 minute walk to Hsinchu ...
The Hsinchu Wishun centre is located in the commercial area of Hsinchu THSR district. It only takes 1 minute walk to Hsinchu HSR station which is connected to the centre building and Train Neiwan line. With its convenient transport connectivity, it is also easy to access through National Highway No.1 and Expressway to Hsinchu Science Park (8km) and Hsinchu CBD (15km ).
The centre is located at one of the very few grade A buildings in Hsinchu. The newly constructed building is with abundant local amenities, including restaurants, retail shops, recreation facilities and a hotel. Nearby parks and hotels include Shuizhen Forest Park and Hsinchu Sheraton hotel. Surrounded by hi-tech companies and high end residential communities, the location is a new hub for companies that are looking to grow and start their business in Hsinchu. Regus Hsinchu Wishun centre offers flexible workplace solutions to accommodate needs of all types and sizes with comprehensive services at a reasonable price.
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 Hsinchu (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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