technifyedWeekly list

University of Michigan

Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript

via Coursera

4.9103 ratings at Coursera

Overview

Why should a designer learn to code?

As our world is increasingly impacted by the use of algorithms, designers must learn how to use and create design computing programs. Designers must go beyond the narrowly focused use of computers in the automation of simple drafting/modeling tasks and instead explore the extraordinary potential digitalization holds for design culture/practice.

Structured around a series of fundamental design problems, this course will show you Python code in terms of its rules and syntax, and what we can do with it in its application and design. So, by the end of this course, you will know the fundamentals of Python and Rhino script, but importantly, through the lens of their application in geometrically focused design lessons and exercises.

Subjects covered in this course

- An introduction to Design Computing as a subject and why designers should learn to code.

- The fundamentals of coding in the Python scripting language. By the end of the course students will be familiar with the basic structure and syntax of this language.

- The understanding and application of Rhinoscriptsyntax, a native coding language in Rhinoceros that’s imported into Python, which allows one to create and control geometries through authoring code.

- The application of Procedural Logics - the structuring of coding systems to produce variable geometric form.

- The output of geometries in still and animate forms.

Syllabus 5

  1. The Building Blocks 6 hours

    Following an introduction to the fundamentals of the interface and explaining what code does, we will look at Variables and Points, the building blocks of code and geometry.

  2. The heart of code 6 hours

    This week we dive deeply into the specific elements of Python coding and explore the possibilities of using them to create more complex and variable geometric systems.

  3. Expanding possibilities 6 hours

    Building on the material from the previous two weeks we will expand the possibilities and interconnectivity of our geometric systems by introducing higher level elements of Python code.

  4. 3 dimensional structures 3 hours

    This week we jump into 3D and explore the design possibilities of 3D matrix structures culminating in the design of a wall structure.

  5. Surfaces as geometry generators 6 hours

    In this final week we will explore the possibilities of NURB surfaces as generative base geometries and complete the course with a tower project.

Skills you'll practise

Computer ProgrammingPython Programming

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From University of Michigan, a well-regarded name.
  • Rated 4.9 out of 5 by 103 learners.
  • Self-paced: start any time.
  • A clear syllabus (5 parts) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Glenn WilcoxAssociate Professor in Architecture, A Alfred Taubman College of Architecture and Urban Planning

University of Michigan is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

Similar courses

Compare these

Harvard University

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

  • Free to audit
  • 5 weeks, 2 - 4 hours per week

Harvard University

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

  • Free to audit
  • 8 weeks, 3 - 5 hours per week

Harvard University

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

  • Free to audit
  • 12 weeks, 5 - 14 hours per week

Harvard University

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

  • Free to audit
  • 8 weeks, 2 - 3 hours per week

Harvard University

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

  • Free to audit
  • 10 weeks, 3 - 6 hours per week

Harvard University

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

  • Free to audit
  • 8 weeks, 2 - 3 hours per week