ODS101 – Machine learning in simulation using ODYSSEE

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  

21.03.2023-23.03.2023 Vastra Frolunda, Sweden

29.08.2023-31.08.2023 Vastra Frolunda, Sweden

12.12.2023-14.12.2023 Vastra Frolunda, Sweden

Duration            

3 Days                 

Price    

€1875 +VAT