## Subject Description

Computational Thinking for Design* *is an introductory programming course that combines programming both in the design and computing contexts targeted at novice programmers. It introduces students to programming and design computing skills essential for their studies at SUTD regardless of pillar preference.

Number | 10.014 |

Pillar | ASD & ISTD |

Subject | Core |

Grading | Pass / Fail |

Credits | 12 |

## Learning Objectives

- Acquire conceptual knowledge and skills for visual and python programming.
- Acquire basic knowledge of computational geometry concepts.
- Develop hands‐on experience with applying computational thinking approaches to explore solutions to design and engineering problems.
- Gain skills in programming the Raspberry pi micro-controller.
- Learn and practice effective technical communication skills for formal written reports.

## Measurable Outcomes

- Implement a working visual/textual program to generate variations of a 3‐dimensional model in accordance to a given geometric problem
- Develop python programs that meet a set of specifications to solve computational problems.
- Produce a physical artefact as the final outcome of a computational process for a design project.
- Develop and deliver a written report on time that describes the results of the design project.

## Course Structure

The first half of this course is led by faculty of Architecture and Sustainable Design [ASD], while the second half is led by faculty of Information Systems Technology and Design [ISTD]. This site contains contents regarding the first part of the term.

The first six weeks focus on computational design using the visual programming paradigm [>]. The following six weeks, after recess week, introduce programming using Python. Contents taught in both parts of the course complement one another.

## Course Overview

Computational Design Thinking takes place twice a week. Each session is 2.5 hours long, split into two circa one hour segments. The first segment is typically theory oriented while the second aims towards practice and applications. The content is organised thematically into 3 parts: Generative Design, Parametric Design and Simulateion. The table below captures the overall organization content in further details.

**_**

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**Theme**

**Generative Design**

**Parametric Design**

**Simulated Design**

**Session A**

**1A – Course Overview**

Introduction and administrative matters

**Orientation Activities**

No cohort session

**2A – Visual programming**

Introduction to Grasshopper

**2A – Associative modelling**

Symbolic expressions to epicycles

**3A – **** Spatial Geometry**

Points and vector algebra

**3A – Curve geometry**

Tangent, normal and curvature

**4A – Information **n**esting**

Lists, grids, tables

**4A – Data landscapes**

Scalar fields

**5A – Space and time**

Clock and persistence

**5A – Modelling Entities**

Projectile physics

**6A – Hybrid programming I**

Projectile physics

**6A – Hybrid progamming II**N-bodies

**Session B**

**1B – Computer Aided Design**

Introduction to Rhinoceros

**1B – Ranges and expressions**

Spreadsheet programming

**2B – Logical patterns**

Conditionals and control flow

**2B – Generative design**

Assignment 1 workshop

**3B – Surface geometry**

Tangent, normal and curvature

**3B – Parametric modelling**

Spiral Bridge

**4B – Mesh geometry**

Topology , visualisation and subdivision

**4B – Parametric design**

Assignment 2 workshop

**5B – Multibody Dynamics**

Planetary motion

**5B – Swarm Intelligence**

Actors and behaviours

**Concluding session**

Discussion and review

**Documentation**

Course evaluation

## Course Instructors

**Cohort 01**

**Cohort 05**

**Cohort 09**

**Cohort 02**

**Cohort 06**

**Cohort 1**

**Cohort 03**

**Cohort 07**

**Cohort 04**

**Cohort 08**

## Grading Components

The table below summarizes grading components. Assignments 1 and 2 will be handed out in the first ASD half of the course (weeks 1 to 6). Coursework comprises quizes and short exercises that are given out throughout the course. The 1D project and final exam components are part of the second ISTD half of the course (weeks 8 to 14). Finally, the 2D Project* *is a common project that involves all freshmore courses in week 10.

Week | Component | Weight |
---|---|---|

1 – 6 | Coursework (Visual programming) | 9% |

2 – 4 | Assignment 1 | 15% |

4 – 6 | Assignment 2 | 20% |

8 – 13 | Coursework (Python programming) | 9% |

8 – 13 | 1D Project | 10% |

10 | 2D Project | 10% |

14 | Final Examination | 25% |

Evaluation Survey & Course Participation | 2% | |

Total | 100% |

## Course Policies

Coursework submitted within seven days after the deadline will have a 50% penalty on the score, thereafter will have a 100% penalty. Students may only miss formal assessments (quizzes, exams) due to the following reasons: (1) medical leave, (2) family emergencies, (3) other matters beyond their control, with documentary proof.

During class sessions all personal communication devices should be switched to silent mode. The use of social media unrelated to classroom activities (such as for private mail, instant messaging, surfing the internet, reading the news, or playing games) is considered inappropriate and distracting to other people.

Copying from someone else’s assignments or other class content is considered cheating and is not tolerated in this class. Signing an attendance sheet in place of another student is also considered cheating. You are expected to attend all classroom sessions.

Please remember that attempting to dishonestly influence or manipulate an academic evaluation, grade, or record is considered a breach of course rules and will be taken very seriously by the instructors, leading to undesirable results for the students conducting these actions.