BIM Generative Design with Revit AulaGEO

BIM Generative Design with Revit – AulaGEO, available at $19.99, has an average rating of 2.71, with 30 lectures, based on 7 reviews, and has 20 subscribers.

You will learn about Apply computational design principles in real situations Parameterize complex designs with the use of visual programming (Dynamo) Understand the basic concepts associated with generative design workflows Use Python as an added value in the design chain to address engineering and architectural problems Understand the trends of the IA applied to BIM modeling This course is ideal for individuals who are Designers or Professionals and students of architecture and engineering careers or BIM modelers or IA researchers It is particularly useful for Designers or Professionals and students of architecture and engineering careers or BIM modelers or IA researchers.

Enroll now: BIM Generative Design with Revit – AulaGEO

Summary

Title: BIM Generative Design with Revit – AulaGEO

Price: $19.99

Average Rating: 2.71

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will Learn

Apply computational design principles in real situations

Parameterize complex designs with the use of visual programming (Dynamo)

Understand the basic concepts associated with generative design workflows

Use Python as an added value in the design chain to address engineering and architectural problems

Understand the trends of the IA applied to BIM modeling

Who Should Attend

Designers

Professionals and students of architecture and engineering careers

BIM modelers

IA researchers

Target Audiences

Designers

Professionals and students of architecture and engineering careers

BIM modelers

IA researchers

The need to design more efficiently and with higher quality in construction projects forces us to use tools designed to optimize time and resources. The mastery of Computational and Generative Design opens the possibility of applying a large number of innovative techniques for the conception of projects and the evaluation of multiple alternatives in an efficient and fast way, obtaining unbeatable results.

In this course, we will address one of the most interesting applications that we currently find within the computational design: Generative Design. Thanks to the previous modules we will have understood how to translate design requirements into programmable rules, now we will be able to use optimization algorithms that iterate over these rules in a range of values previously determined by the designer. This will expand our universe of options from a few alternatives to thousands or hundreds of thousands, resulting in optimal solutions even in the most complex and difficult-to-evaluate cases.

#AulaGEO

The possibility of applying new design techniques greatly expands the range of solutions that can be offered to end customers for project execution. At the same time, it gives the designer the opportunity to grow in competitiveness and face new challenges.

In this course, in addition to explaining the use and possibilities, and advantages of Generative Design within an organization, we will also recommend some actions to put into practice in order to choose the work team in your company that will provide optimal solutions to the challenges that arise.

Content of the course

Stages and steps of Generative Design

Lecture 1: Welcome

Lecture 2: Introduction to Generative Design

Lecture 3: Computational Design

Lecture 4: Generative Design

Lecture 5: Stages and steps of generative design

Multidisciplinary Workflows for Generative Design

Lecture 6: Example of generative design – MaRs Innovations District

Lecture 7: What is an algorithm?

Lecture 8: Options Engineering

Lecture 9: Optimization

Lecture 10: Genetic Algorithms

Lecture 11: Visual Programming

Lecture 12: Introduction to Dynamo

Lecture 13: User Interface

Lecture 14: Hello world in Dynamo

Lecture 15: Data types

Lecture 16: Lists

Lecture 17: Revit elements

Lecture 18: Generative design tool in Revit

Lecture 19: Creation of a Generative Design study

Lecture 20: Simple case – Highest point of a surface

Lecture 21: Simple Case – Minimum Volume and Maximum Surface Area

Lecture 22: Building Massing Generator

Lecture 23: Positioning building according to solar incidence

Lecture 24: Optimized office space planning

Lecture 25: Placement of objects in a grid

Lecture 26: Random object placement

Lecture 27: Distribution of luminaires

Lecture 28: Placement of views on sheets

Implementation of generative design in architecture and engineering firms

Lecture 29: Generative design in organizations

Lecture 30: Next steps

Course Curriculum

Chapter 1: Stages and steps of Generative Design

Lecture 1: Welcome

Lecture 2: Introduction to Generative Design

Lecture 3: Computational Design

Lecture 4: Generative Design

Lecture 5: Stages and steps of generative design

Chapter 2: Multidisciplinary Workflows for Generative Design

Lecture 1: Example of generative design – MaRs Innovations District

Lecture 2: What is an algorithm?

Lecture 3: Options Engineering

Lecture 4: Optimization

Lecture 5: Genetic Algorithms

Lecture 6: Visual Programming

Lecture 7: Introduction to Dynamo

Lecture 8: User Interface

Lecture 9: Hello world in Dynamo

Lecture 10: Data types

Lecture 11: Lists

Lecture 12: Revit elements

Lecture 13: Generative design tool in Revit

Lecture 14: Creation of a Generative Design study

Lecture 15: Simple case – Highest point of a surface

Lecture 16: Simple Case – Minimum Volume and Maximum Surface Area

Lecture 17: Building Massing Generator

Lecture 18: Positioning building according to solar incidence

Lecture 19: Optimized office space planning

Lecture 20: Placement of objects in a grid

Lecture 21: Random object placement

Lecture 22: Distribution of luminaires

Lecture 23: Placement of views on sheets

Chapter 3: Implementation of generative design in architecture and engineering firms

Lecture 1: Generative design in organizations

Lecture 2: Next steps

Instructors

AulaGEO Academy
Specialists in GIS – BIM – LAND and Smart process training

Felix Enzo Garofalo Lanzuisi
Instructor y Consultor BIM, CAE y AI

Rating Distribution

1 stars: 1 votes

2 stars: 3 votes

3 stars: 2 votes

4 stars: 1 votes

5 stars: 0 votes

Frequently Asked Questions

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