ESTECO Academy Training Center
 

Your Learning Guide

Get started on your way to becoming a modeFRONTIER expert with our exclusive ESTECO Academy training: from basic tutorials that take you through how to install the software and build a simple workflow step-by-step, to advanced courses that help you unleash the full potential of modeFRONTIER.

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Basic Training

Step-by-Step Learning: Use modeFRONTIER for your Design Project

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Retrieving your machine information

This short video tutorial shows you how to retrieve the information from your computer's Command Prompt. In particular, we need you to send us your Host Name and Physical Address so that we can generate a license for you.
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First Steps with modeFRONTIER: Build a Simple Workflow

This is the first tutorial that should be completed by a novice user to understand the process and the logic of workflow building and its purpose. The project used in this tutorial consists in the optimization of a rectangular section beam, the details of which are provided in the pdf document "Workflow Building using the Excel Node". This tutorial focuses on placing, configuring and linking the workflow building blocks, i.e. nodes, and the transformation of parameters into optimization variables using the Parameter Chooser tool.
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First Steps with modeFRONTIER: Run a Project

This tutorial shows how to run a project after the workflow has been correctly built and configured, as well as the main functionalities of the Run Analysis environment, which enables real time execution monitoring.
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First Steps with modeFRONTIER: Analyze Results

This tutorial shows how to perform a basic data analysis in the modeFRONTIER Design Space environment after running a project. It focuses on some essential charts, such as the History, Scatter, Bubble and Parallel Coordinates charts, which can give you a first clear idea on the outcome of your optimization.

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Advanced Training

Beyond the Basics: Master Extra features and Exploit All the Power of Optimization

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License Configuration on a Remote Server

In some cases modeFRONTIER licenses may envisage the use of the software by multiple users. This tutorial explains how set up such a "shared" license on a remote server and make it available to users whose computers can connect with it.
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Multi-Variate Analysis Tool

MVA tools are designed for analyzing data with many variables to identify patterns and relationships, reducing and interpreting such large datasets, and predicting data behavior based on such observations. This tutorial explains how to use the available Multi-Variate Analysis tools, i.e.  Hierarchical and Partitive Clustering, Multi-Dimensional Scaling, Self-Organizing Maps and Principal Components Analysis, on practical examples. 
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Scheduling Project Node

This tutorial explains how to use the Scheduling Project node to solve a simple hierarchical optimization problem of a cylinder geometry. The main problem has been decomposed in two levels, where one optimization level has been nested in another and a direct dependency between the two has been created. For each step of the upper level a full optimization loop is performed at the nested level.
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Sub-Process Node

This tutorials explains how to use the Sub-Process node to debug and test a workflow subset separately from the rest of the workflow and run that subset in a loop for a  defined number of times to avoid possible simulation failures.
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The Use of Statistical Tools

This tutorials shows how to perform a detailed statistical analysis of an imported external database, i.e. visualize data distributions, monitor trends, find linear correlations and outliers, check the effects of some variable and perform statistical tests, as well as organize data in clusters according to their similarities.
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Data analysis in a Six Sigma Context

This tutorial shows how to import data in modeFRONTIER and analyze them in a Six Sigma context. It focuses in particular on finding the most probable statistical distribution of data series, checking the fulfilment of the Six Sigma criteria and monitoring the behavior of data over time.