Generative Design Specialization BIM Intelligence AulaGEO

Generative Design Specialization – BIM Intelligence AulaGEO, available at $49.99, has an average rating of 5, with 92 lectures, based on 1 reviews, and has 8 subscribers.

You will learn about Apply computational design principles in real situations Understand the basic concepts associated with generative design workflows Understand the trends of the IA applied to BIM modeling Understand the basic concepts associated with generative design workflows Parameterize complex designs using visual programming (Dynamo) Create parameterized design proposals 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: Generative Design Specialization – BIM Intelligence AulaGEO

Summary

Title: Generative Design Specialization – BIM Intelligence AulaGEO

Price: $49.99

Average Rating: 5

Number of Lectures: 92

Number of Published Lectures: 92

Number of Curriculum Items: 92

Number of Published Curriculum Objects: 92

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Apply computational design principles in real situations

Understand the basic concepts associated with generative design workflows

Understand the trends of the IA applied to BIM modeling

Understand the basic concepts associated with generative design workflows

Parameterize complex designs using visual programming (Dynamo)

Create parameterized design proposals

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

LEVEL I – BIM Generative Design with Revit

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.

BIM generative design with Revit

Multidisciplinary workflows for generative design

Implementation of generative Dedign in architecture and engineering firms

In this level, we will address one of the most interesting applications that we currently find within 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 allows the designer to grow in competitiveness and face new challenges.

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

LEVEL II – Visual Programming with Dynamo & Revit

This level is a friendly and introductory guide to the world of computational design using Dynamo, an open-source visual programming platform for designers.

Visual programming with Dynamo & Revit

Geometry treatment

Connection to Revit

In progress, it is developed through projects in which the basic concepts of visual programming will be learned. Among the topics, we will cover working with computational geometries, best practices for rule-based design, application programming for interdisciplinary design, and much more with the Dynamo Platform.

#AulaGEO Dynamo’s power is evident in a wide variety of design-related activities. Dynamo allows us to:

Explore programming for the first time

Connect workflows in various software

Promote the activity of communities of users, contributors, and developers

Develop an open-source platform with constant improvements

The need to make designs more efficiently and with higher quality in construction projects forces us to use tools designed to optimize time and resources. 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 efficiently and quickly, obtaining unbeatable results.

The possibility of applying new design techniques significantly widens the range of solutions to be offered to end customers for the execution of projects. At the same time, it offers the designer the opportunity to grow in competitiveness and face new challenges.

LEVEL III – Visual Programming with Rhino, Grasshopper & Revit

In order for the student to develop a complete understanding of the state of the art in computational design, one of the most powerful visual programming tools on the market, Grasshopper, will be introduced during this level. This visual scripting environment is installed by default in the most recent versions of Rhinoceros 3D.

Visual programming with Rhino, Grasshopper & Revit

Grasshopper in Revit

Grasshopper application in computational design

Thanks to Rhino. Inside technology, it is possible to use the power of Rhino, including Grasshopper, in other applications. Such is the case of Revit with Rhino.Inside.Revit. It will be shown how to exploit the power of Grasshopper within Revit itself.

Finally, the door will be opened to a myriad of Grasshopper applications for various design tasks. #AulaGEO We will also study how to use Grasshopper in the preparation of geometries for 3D printing, how to use physical simulation engines within Grasshopper, and even how to use these engines in the optimization of structures and environmental impact analysis.

The possibility of applying new design techniques significantly broadens the range of solutions to be offered to end customers for project execution. At the same time, it allows the designer to grow in competitiveness, and face new challenges.

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

Course Curriculum

Chapter 1: LEVEL I – BIM GENERATIVE DESIGN WITH REVIT

Lecture 1: LEVEL I – Welcome

Lecture 2: Level I – Introduction to Generative Design

Lecture 3: Level I – Computational Design

Lecture 4: Level I – Generative Design

Lecture 5: Level I – Stages and steps of generative design

Chapter 2: LEVEL I – 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: LEVEL I – IMPLEMENTATION OF G.D. IN ARCHITECTURE AND ENGINEERING FIRMS

Lecture 1: Generative design in organizations

Lecture 2: Next Steps

Chapter 4: LEVEL II – VISUAL PROGRAMMING WITH DYNAMO & REVIT

Lecture 1: First approach to Dynamo and its scope

Lecture 2: What is a Computational Design?

Lecture 3: Dynamo user interface

Lecture 4: Work space

Lecture 5: First Project in Dynamo

Lecture 6: Nodes in detail

Lecture 7: Cables in detail

Lecture 8: Managing the programs

Lecture 9: Data flow

Lecture 10: Mathematical operations

Lecture 11: Logical conditions

Lecture 12: Text Strings

Lecture 13: Colors

Chapter 5: LEVEL II – GEOMETRY TREATMENT

Lecture 1: Vectors

Lecture 2: Points

Lecture 3: Curves

Lecture 4: Surfaces

Lecture 5: Solid

Lecture 6: Thigts

Lecture 7: Lists definition

Lecture 8: Working with lists

Lecture 9: Lists de lists

Lecture 10: n-dimensionales lists

Chapter 6: LEVEL II – CONNECTION TO REVIT

Lecture 1: Object selection

Lecture 2: Object editing

Lecture 3: Item creation

Lecture 4: Creation of direct forms

Lecture 5: Personalization

Lecture 6: Documentation

Lecture 7: Export and Import to Excel

Lecture 8: Dynamo Player

Lecture 9: Curtain panels with solar sudy

Chapter 7: LEVEL III – VISUAL PROGRAMMING WITH RHINO, GRASSHOPPER & REVIT

Lecture 1: Introduction to Rhino Grasshopper

Lecture 2: User Interface

Lecture 3: Communication with Rhino

Lecture 4: Object types

Lecture 5: Components in detail

Lecture 6: Type of data

Lecture 7: Cables in detail

Lecture 8: First definition in Grasshopper

Lecture 9: Working with hot spots

Lecture 10: Expressions and conditionals

Lecture 11: Domains and colors

Lecture 12: Geometries and curves

Lecture 13: List processing

Lecture 14: Creating lists

Lecture 15: Displaying lists

Lecture 16: Lists management

Lecture 17: Working with lists

Lecture 18: Surfaces

Lecture 19: Data Trees

Lecture 20: Components for data trees

Lecture 21: Basic anatomy of meshes

Lecture 22: Working with meshes

Chapter 8: LEVEL III – GRASSHOPPER IN REVIT

Lecture 1: Rhino.Inside.Revit

Lecture 2: Parameters

Lecture 3: Elements and instances

Lecture 4: Grids

Lecture 5: Levels

Lecture 6: Walls

Chapter 9: LEVEL III – GRASSHOPPER APPLICATION IN COMPUTATIONAL DESIGN

Lecture 1: Intro to Kangaroo

Instructors

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

Golgi Alvarez
Land Administration and AEC Specialist

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5 stars: 1 votes

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