DESIGN COMPUTING
IC-PBL (Industri-Coupled Project Based Learning) Course
This course is on the theory of computational design and its application. Latest design research, design computing methodologies will be discussed in the class. The objective of this course is to approach design process computationally. Unlike traditional ways of exploring forms with hands and pencils, this course offers a way to explore forms with data and rules. To do that, students will go through as follows:
- Data Collection: Collecting all kinds of data through sensors, user observation or even word semantics.
- Identifying Rules: Formulating design rules from the collected data to create reconstructable designs.
- Synthesizing Designs: Computing novel design alternatives that fulfill design rules.
This course can teach students how data-driven design can support their design thinking and creativity. Ultimately, students will create their own Platform to design computationally. Students will use Processing & Python to create designs computationally. Coding skills are not prerequisite to this course.
Course Schedule (2020 Spring)
Week 1. Introduction to Design Computing
Week 2. Algorithm & Form
Week 3. Parametric Design & Shape Grammar
Week 4. Data Collection Methods
Week 5. Data-Driven Design Methods and Implementations
Week 6. Special Lecture
Week 7. Algorithmic Design I & II
Week 8. Hand Drawing Skills – Color & Material
Week 9. No Class
Week 10. Individual Meeting (discussion on the Term Project)
Week 11. Midterm Presentations
Week 12. Virtual Reality and Real Virtuality
Week 13. Desk Critique
Week 14. Desk Critique
Week 15. Desk Critique
Week 16. Final Presentation (Term Project Due)
Selected Student Works
2018 Spring
Design Drawn by Coding
by Shin Jong Hoon
Pattern generating software
Design Drawn by Coding
by Shin Jong Hoon
Pattern generating software
2018 Spring
Image-Based Nonogram Generator
by Hwiwon Chun
Nonogram generating software
Image-Based Nonogram Generator
by Hwiwon Chun
Nonogram generating software
2018 Spring
Platform Game Random Map Generation
by Eugene Tan
Platform Game Random Map Generation
by Eugene Tan
2017 Fall
Thermal Optimization based Glass Curtainwall Facade Design
by Sangwon Lee
Thermal Optimization based Glass Curtainwall Facade Design
by Sangwon Lee
2017 Spring
Seoul Bike Data Visualization
by Hyunjoo Kang
Seoul Bike Data Visualization
by Hyunjoo Kang
2017 Spring
Shadonation
by Hanol Rim & Hyeonsun Jeon
Shadonation
by Hanol Rim & Hyeonsun Jeon
2017 Spring
Design by Computer (Random Based Design Generator)
by Jason Thuer
Design by Computer (Random Based Design Generator)
by Jason Thuer
