Modelica Training Courses in Kazakhstan

Modelica Training Courses

Online or onsite, instructor-led live Modelica training courses demonstrate through interactive hands-on practice how to use the Modelica modeling language to model industrial systems.

Modelica 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 Modelica trainings in Kazakhstan can be carried out locally on customer premises or in NobleProg corporate training centers.

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Modelica Course Outlines in Kazakhstan

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training (online or onsite) is aimed at mechanical engineers and designers wishing to learn how to use the Modelica modeling language to model industrial systems. Modelica is a modeling language for complex systems involving mechanical, electrical, electronic, hydraulic, thermal, control, electric power or process-oriented subcomponents.  By the end of this training, participants will be able to:
  • Choose from different open source platforms for developing Modelica models
  • Understand different real-world usages and implementation details of Modelica
  • Model real-world industrial systems involving electric and mechanical components
  • Implement Modelica libraries and create their own classes
  • Integrate their algorithms into existing systems and applications
Format of the Course
  • Interactive lecture and discussion
  • Lots of exercises and practice
  • Hands-on implementation in a live-lab environment
Course Customization Options
  • This training is based on various open source platforms for running Modelica (JModelica.org, Openmodelica, etc.).
  • To request a specific implementation for this course, please contact us to arrange.

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We are looking for a good mixture of IT and soft skills in Kazakhstan!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

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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