Utilizing Dynamic Blocks and Data Extraction for BIM in AutoCAD
Offered By: Pluralsight
Course Description
Overview
In this AutoCAD tutorial, we'll learn an approach to BIM methodology. Software required: AutoCAD 2013, Excel 2010.
In this AutoCAD tutorial, we'll learn an approach to BIM methodology. We'll take a deep look into dynamic blocks, how to create our own dynamic blocks, the different parameters and actions we can apply to them and how to add them into our project. Next we'll check out text attributes and learn how we can work with them. Later, we'll apply both concepts, dynamic blocks and attributes to input data into our project. Finally, we'll see how to extract this information into a data table in Excel. By the end of this AutoCAD training, you'll understand that all these options combined give us the possibility to increase the amount of information held by our project, which is the main principle of BIM methodology. Software required: AutoCAD 2013, Excel 2010.
In this AutoCAD tutorial, we'll learn an approach to BIM methodology. We'll take a deep look into dynamic blocks, how to create our own dynamic blocks, the different parameters and actions we can apply to them and how to add them into our project. Next we'll check out text attributes and learn how we can work with them. Later, we'll apply both concepts, dynamic blocks and attributes to input data into our project. Finally, we'll see how to extract this information into a data table in Excel. By the end of this AutoCAD training, you'll understand that all these options combined give us the possibility to increase the amount of information held by our project, which is the main principle of BIM methodology. Software required: AutoCAD 2013, Excel 2010.
Syllabus
- Introduction and Project Overview 1min
- Utilizing Dynamic Blocks and Data Extraction for BIM in AutoCAD 89mins
Taught by
Francisco Castellanos
Related Courses
Data Wrangling with MongoDBMongoDB via Udacity Data Science Essentials for SAP
OnSAP Academy via Independent Herramientas de la Inteligencia de Negocios
Galileo University via edX Digital Media Analytics: Using 'Listening Data'
Purdue University via FutureLearn Advanced Business Analytics
University of Colorado Boulder via Coursera