Agent Based Modeling Kurzusok

Agent Based Modeling Kurzusok

Helyi oktatói élő közvetítő alapú modellezés tanfolyamok itt Magyarország.

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Agent Based Modeling Subcategories

Agent Based Modeling Course Outlines

Kurzusnév
Időtartalma
Összefoglaló
Kurzusnév
Időtartalma
Összefoglaló
14 hours
Összefoglaló
This instructor-led, live training in Magyarország (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.
28 hours
Összefoglaló
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 Magyarország (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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Néhány ügyfelünk

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As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
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At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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