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

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

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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

WEEK 1
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.

WEEK 2
The heart of code
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.

WEEK 3
Expanding possibilities
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.

WEEK 4
3 dimensional structures
This week we jump into 3D and explore the design possibilities of 3D matrix structures culminating in the design of a wall structure.

WEEK 5
Surfaces as geometry generators
In this final week we will explore the possibilities of NURB surfaces as generative base geometries and complete the course with a tower project.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Intro to Siemens NX: Engineering Essentials and Part Design (Coursera) Coursera
Siemens

Intro to Siemens NX: Engineering Essentials and Part Design (Coursera)

Welcome to Intro to Siemens NX: Engineering Essentials and Part Design!! This course will provide you with the essential skills needed to excel in computer-aided design (CAD), computer-aided manufacturing (CAM), and computer-aided engineering (CAE) using Siemens NX software. Be prepared to dive into the versatile capabilities of NX as it empowers engineers and designers to efficiently create, simulate, and manufacture products.

Nov 23rd 2026
4 Weeks
Exam Prep AI-102: Microsoft Azure AI Engineer Associate (Coursera) Coursera
Whizlabs

Exam Prep AI-102: Microsoft Azure AI Engineer Associate (Coursera)

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

Nov 16th 2026
5-12 Weeks
Applied Social Network Analysis in Python (Coursera) Coursera
University of Michigan

Applied Social Network Analysis in Python (Coursera)

This course will introduce the learner to network analysis through the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness.. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.

Nov 23rd 2026
4 Weeks
Code Yourself! An Introduction to Programming (Coursera) Coursera
University of Edinburgh,Universidad ORT Uruguay

Code Yourself! An Introduction to Programming (Coursera)

Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce you to the fundamental principles of computing and it will help you think like a software engineer.

Nov 23rd 2026
5-12 Weeks
International Cyber Conflicts (Coursera) Coursera
The State University of New York

International Cyber Conflicts (Coursera)

By nature, cyber conflicts are an international issue that span across nation-state borders. By the end of the course, you will be able to apply the knowledge gained for analysis and management of international cyber incidents and conflicts including for activities such as development of policy related to cybercrime and cyberwarfare. Management of cyber incidents and conflicts requires an interdisciplinary perspective including an understanding of: 1) characteristics of the cyber threats and conflicts themselves, 2) international efforts to reduce and improve cyber security, and 3) psychological and sociopolitical factors.

Nov 23rd 2026
5-12 Weeks
Introduction to advanced tomography (Coursera) Coursera
Technical University of Denmark - DTU

Introduction to advanced tomography (Coursera)

In this course you get the chance to get teaching and hands-on experience with the complete workflow of high-resolution tomography analysis. You will get introduced to data acquisition, 3D reconstruction, segmentation and meshing and, finally, 3D modelling of data to extract physical parameters describing mechanical and flow properties. The teaching and the exercises will take place in close interaction with top experts in the field. Exercises will require some basic programming skills, and will be carried out in a common python environment.

Nov 23rd 2026
4 Weeks
Introduction to Software Product Management (Coursera) Coursera
University of Alberta

Introduction to Software Product Management (Coursera)

This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software. Upon successful completion of this course, you will be able to: relate software product management to better software products; recognize the role of a software product manager; reflect on how Agile principles will improve your own projects.

Nov 23rd 2026
2 Weeks
Architecting Smart IoT Devices (Coursera) Coursera
EIT Digital

Architecting Smart IoT Devices (Coursera)

This course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-made hardware and software components are available today. You'll discover all the available hardware and software components, such as processor families, operating systems, boards and networks. You'll also learn how to actually use and integrate these components.

Nov 16th 2026
5-12 Weeks
Big Data Analysis Deep Dive (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Nov 23rd 2026
5-12 Weeks
Operations Research (1): Models and Applications (Coursera) Coursera
National Taiwan University

Operations Research (1): Models and Applications (Coursera)

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Industrial Engineering, etc. This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.

Nov 23rd 2026
5-12 Weeks