Online or onsite, instructor-led live Agent Based Modeling training courses demonstrate through interactive hands-on practice the fundamentals of Agent Based Modeling.
Agent Based Modeling 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 Agent Based Modeling trainings in Berlin can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led, live training in Berlin (online or onsite) is aimed at anyone who wishes to learn how to use Digital Twin in monitoring and analyzing products and processes before building and deploying the actual product.
By the end of this training, participants will be able to:
Learn and understand the fundamental concepts of Digital Twin.
Understand the Digital Twin types and life cycle.
Use Digital Twin to effectively manage research data and design models.
This instructor-led, live training in Berlin (online or onsite) is aimed at investigators who wish to use Mesa to create Agent Based Models in a Python environment.
By the end of this training, participants will be able to:
Install and configure the development environment needed to start modeling in Python.
Quickly create an agent-based model using Mesa's built-in core components.
Expand the complexity of the model.
Visualize agent activity in real-time inside a browser.
Analyze the results of the model interactively using Python data analysis tools.
Integrate the model with other Python systems such as machine learning applications.
This instructor-led, live training in Berlin (online or onsite) is aimed at investigators who wish to use NetLogo to create Agent Based Models (ABM).
By the end of this training, participants will be able to:
Install NetLogo.
Develop an agent-based model.
Visualize agent activity.
Analyze the results of the model.
Test and document the agent-based simulation model.
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 Berlin (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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Testimonials (1)
The trainer well prepared the course material beforehand and the session was very flexible and arranged to meet the trainee's interests. The management staffs were also around during the course to help us. The project was well managed in a friendly atmosphere throughout.
Kikuko Shoyama
Course - Repast - Agent Based Modeling and Simulation (ABMS)
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