Training

Events

June 1-3, 2015 in Dolní Morava, Czech Republic

Conference for numerical simulation

Jun 6-8, 2016 in Würzburg

Conference for technical aspects in the design and use of modern connectors

Jun 7-8, 2016 in Munich

Computer-aided engineering conference in the automotive industry.

Jun 12-15, 2016 in Linz

Challenges in Forming High-Strength Sheets

Jun 6, 2016 in Winterthur

Conference for numerical simulation

News

Library RDO Journal Weimar Optimization and Stochastic Days Newsletter Quarter 2_2016 Dynardo...

Dynardo GmbH is proud to announce that Dynardo’s optiSLang, leading edge software for CAE-based...

Release note optiSLang 5.0.0 more information about optiSLang 5 more information about optiSLang...

Library

Training

Jun 6-8, 2016 in Weimar

Jun 9 in Vienna
Aug 10, 2016 in Lein.-Echt.
Sep 7, 2016 in Renens
Nov 16, 2016 in Berlin
Nov 22, 2016 in Aadorf

Jun 22 in Hanover
Sep 30, 2016 in Lein.-Echt.
Dec 9, 2016 in Grafing

Aug 12, 2016 in Lein.-Echt.
Nov 18, 2016 in Berlin
Nov 24, 2016 in Aadorf

Webinar: Data Analysis with optiSLang

This basic webinar will explain to the participant how to conduct a statistical analysis and to visualise external data with optiSLang.

The first part will inform you about the theoretical basics of statistical methods in order to provide you with a better understanding of the analyzed data correlation. Basically, the main issue of how to identify and to quantify correlated input and output variables will be explained.

During the practical part, you will learn how to import external data into optiSLang and how to conduct an evaluation using optiSLang's post-processing and the Metamodel of Optimal Prognosis (MOP). The statistical methods are explained on the basis of a practical example.

Content

Extended correlation matrix in optiSLang's post-processor
Extended correlation matrix in optiSLang's post-processor
CoP/MOP
CoP/MOP

1. Basics of statistical data analysis

  • One-dimensional analysis using histograms
  • Evaluation of statistical moments
  • Two-dimensional assessment of interdependencies with correlation coefficients
  • Multi-dimensional analysis with surrogate models

2. Integration and analysis of external data in optiSLang

  • Data import via Excel Addin and CSV
  • Introduction of optiSLang's statistical postprocessing
  • Generation of the Metamodel of Optimal Prognosis (MOP)

 

Details

Instructor: 
Dr.-Ing. Thomas Most

Date:
to be announced
Please register not later than 1 day prior to the event date.

Language:
English

Time/Duration:
9-10 am and 4-5 pm (local time-Berlin)

Fee:
free of charge