HEEDS
HEEDS Einführung

Course Code
TR06391
Software
HEEDS 2020.1
User Level
Beginner
Pricing ID
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List Price
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Live In-Person Duration
1 Day
Live Online Duration
4 hours each day for 2 Days

HEEDS Introductory training serves as an introduction to the major concepts behind effective process automation and design-space exploration using HEEDS. It provides a basic introduction to using HEEDS for design exploration studies. You will learn how to set up, run, and view the results from a general HEEDS study!

This is a public classroom training offered at our training centers in Nuremberg (over a period of 1 day), as well as online training (over 2 consecutive morning sessions). Where / in which format it's given, you can see in our ClassFinder under location.

It can be attended using 4 "Simcenter Training Credits" [TR-SCS-TOK] or 800 "Learning Services Credits" [DE-LS-CDTS] per attendee.

Diese Schulung wird in deutscher Sprache gehalten. Die Kursbegleitunterlagen sind in englischer Sprache.

WHO SHOULD ATTEND

The HEEDS Introduction course is intended for all new and returning HEEDS users who wish to gain a basic understanding of the software functionality and user interface.

PREREQUISITES

Anmerkungen zur Teilnahme an der Live! Online Version dieses Kurses:
Sie sollten über eine Internetanbindung mit mind. 16Mbit/s (empfohlen 50Mbit/s oder schneller) verfügen.
Als Arbeitsplatz empfiehlt sich ein ruhiger Platz mit 2. Display und bequemen Headset.
Während der Schulung sollten Sie, wie bei einer Präsenzschulung, Ihr Mobiltelefon und andere Störungsquellen abschalten können.

PROVIDED COURSE MATERIALS
  • Student Guide
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Learning Services, Germany

PRIMARY COURSE TOPICS

  • Optimization Strategies and Observations
  • Introduction to Process Automation and Multi-Disciplinary Optimization (MDO)
  • Batch Execution of an Analysis Model
  • Visualization and Intuition
  • Defining an Optimization Problem
  • Searching for Optimal Solutions
  • Optimization
  • File and Directory Structure during a HEEDS Study
  • Monitoring and Post-Processing a Design Study
  • Objectives, Constraints and Performance
  • Design Variables
  • Optimization Search Path
  • Evaluations and Restart
  • Multi-Objective Optimization