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optiSLang E-learning courses

Dynardo's E-learning program offers you a quick and efficient way to getting started with optiSLang.

Individual courses will show you how to set up your solver chain and how to perform a sensitivity analysis, optimization, robustness evaluation or model calibration with the help of optiSLang's software package. The training units will explain to you the technical usage of the user interface by setting up several training examples and will give you an overview of the theoretical background and best practices of the methodology.

Individual E-learning units can be chosen separately or as a package offer.

Unit 1 – Graphical user interface and process integrationUnit 2 – Sensitivity analysisUnit 3 – Single- and multi-objective optimizationUnit 4 – Robustness evaluation and Robust DesignUnit 5 – Model calibration and parameter identificationUnit 6 – Interactive post-processing and data visualizationUnit 7 – optiSLang and ANSYS WorkbenchUnit 8 – optiSLang and ANSYS Electronics Desktop (AEDT)

Unit 1: Graphical user interface and process integration

June 11, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

  • Introduction to optiSLang
  • Graphical user interface in optiSLang
  • Parameter and response types
  • Integration of text based solvers
  • Integration of ANSYS Workbench
  • Integration of MATLAB, EXCEL and Python
  • Nested systems and conditional execution

Unit 2: Sensitivity analysis

June 12, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

  • Design of Experiments and Latin Hypercube Sampling
  • Correlation analysis
  • Response surface method
  • Coefficient of Prognosis
  • Metamodel of Optimal Prognosis
  • Best practice and outlier detection
  • Analysis of experimental data with the EXCEL Addin

    Unit 3: Single- and multi-objective optimization

    June 13, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

    • Optimization goals and constraints
    • Decision tree
    • Gradient based optimization
    • Response surface based optimization
    • Downhill Simplex method
    • Evolutionary algorithms
    • Multi-objective Pareto optimization

      Unit 4: Robustness evaluation and Robust Design

      June 18, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

      • Definition of uncertainties
      • Varianced based robustness evaluation
      • Design for Six Sigma
      • Probability based robustness evaluation
      • Taguchi methods
      • Robust Design Optimization

        Unit 5: Model calibration and parameter identification

        June 19, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

        • Definition of signals and signal functions
        • Definition of the calibration task
        • Sensitivity analysis of model parameters
        • Exclusion of non-identifiable variables
        • Metamodel-based signal analysis
        • Least squares minimization

          Unit 6: Interactive post-processing and data visualization

          June 20, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

            • Generate and evaluate the Metamodel of Optimal Prognosis
            • Assessment of multiple objectives
            • Cluster analysis
            • Evaluation of scattering data
            • Visualization of signals and images
            • User-defined extension and customization

              Unit 7: optiSLang and ANSYS Workbench

              June 25, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

              • ANSYS Workbench plugin
              • ANSYS Workbench integration node
              • Using HPC and RSM with optiSLang
              • Using ANSYS APDL with optiSLang
              • Definition of signals in ANSYS Workbench
              • Using 3D solver outputs in optiSLang

                Unit 8: optiSLang and ANSYS Electronics Desktop (AEDT)

                June 26, 2019 | 9 am – 12 am CEST and 9 am – 12 am PDT

                • Wizard-based workflow setup
                • "Custom integration" framework
                • AEDT custom integration
                • Run mode details
                • Alternative integration options
                • Maxwell example
                • HFSS example
                • Simplorer example

                  Details

                  Dates
                  Unit 1 – Graphical user interface and process integration: February 19, 2019 | June 11, 2019
                  Unit 2 – Sensitivity analysis: February 20, 2019 | June 12, 2019
                  Unit 3 – Single- and multi-objective optimization: February 21, 2019 | June 13, 2019
                  Unit 4 – Robustness evaluation and Robust Design: February 26, 2019 | June 18, 2019
                  Unit 5 – Model calibration and parameter identification: February 27, 2019 | June 19, 2019
                  Unit 6 – Interactive post-processing and data visualization: February 28, 2019 | June 20, 2019
                  Unit 7 – optiSLang and ANSYS Workbench: March 5, 2019 | June 25, 2019
                  Unit 8 – optiSLang and ANSYS Electronics Desktop (AEDT) : March 6, 2019 | June 26, 2019

                  Please register not later than one week prior to the event date.

                  Language
                  English

                  Time
                  9 am – 12 am Central European Time (CET/CEST)
                  9 am – 12 am Pacific Time (PST/PDT)

                  Fee
                  Single Unit: 250 Euro (excluding VAT)
                  Full Package (All eight units): 1000 Euro (excluding VAT)

                  Test Licence
                  including a 1-month test license of optiSLang

                  Discount
                  50% for students (requires certificate of enrollment)
                  30% for university members / Ph.D. students
                  Reseller are enabled to take part free of charge (please check box in registration form)

                  General Terms
                  The payment obligation will become invalid only if a written cancellation is received not later than three days before the event date. Dynardo is entitled to cancel the event if the received participation confirmations are less than the minimum number of participants.