Machine learning in simulation using ODYSSEE

ODS101

Objective

This course will help users to know, how they can use the Machine Learning in Simulation domain. Users will learn how to effectively apply reduce order modeling, sensitivity analysis, optimization, quasar scripting automation, PCA, image processing in their CAE workflow. Workshops will cover practical hands-on problems on applications in automobile, aerospace, medical, materials and general appliances domain.


Content

  • Introduction to machine learning (ML)
  • Introduction to application of ML in Simulation
  • Sample case studies
  • ODYSSEE architecture. Lunar, nova, pulsar, quasar, a-eye intro.
  • Introduction to Lunar:
  • DOE generation and its algorithms,
  • Deciding optimum number of points
  • Sensitivity analysis, selection of parameters
  • Validating the model
  • Advanced topics on Lunar
  • Optimization in lunar
  • Pulsar tool introduction
  • Quasar scripting and automation
  • Quasar online introduction
  • Best practices
  • A-eye intro and demo


Prerequisites

A basic knowledge of AI/ML is recommended


Dates

Frimley:
14.02.2023-15.02.2023
Nottingham:
17.10.2023-18.10.2023
Instructor-led online:
11.07.2023-12.07.2023


Duration

2 days


Price

£900+VAT(Hexagon office)/£600+VAT(online)


Contact

Tel: +44 (0)1276 903120
Email: MI-MSC-info.uk@hexagon.com