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Digital Design


HKUST

About This Course

Digital Design is about designing in digital space so that the created contents can be displayed and seen on a digital device. With the availability of high computing power, designers are able to quickly create designs in digital space prior to actual deployment.

In this course, you will learn the fundamental concepts of a wide variety of digital design technology and you will have the opportunity to create your own digital designs and animate them as well. The course focuses on creating 3D objects using a computer-aided design package, creating real life physical simulations and then combining the two techniques to create rendered animations. It will also introduce the virtual reality (VR) and augmented reality (AR) applications.

This course allows you to get hands-on experience on different design tools so that the various outputs can be combined in a systematic way. So get started to experience this excitement of creating your own designs now whether it be for continuing education or as a hobby.

Week 1: Computer Aided Design
Fundamentals of computer aided design. Developing 3D digital models of various shapes.

Week 2: Computer Animation Basics
Rigging a 3D model and creating simple computer animations using key framing and particle systems.

Week 3: Color Theory
Matching colors for specific applications. Using Processing software to generate physical simulations of moving objects.

Week 4: Rendering
Setting up a virtual scene with different 3D geometries, material properties, and lighting conditions.

Week 5: Mixed Reality
Virtual reality, augmented reality, augmented virtuality, and mixed reality.

Course Staff

Course Staff Image #1

Ravindra Goonetilleke
Professor at The Hong Kong University of Science and Technology

Dr. Ravindra Goonetilleke is Professor at the Hong Kong University of Science and Technology (HKUST) and holds a joint appointment in the Division of Integrative Systems and Design and the Department of Industrial Engineering and Decision Analytics. He teaches Human-Centered Design and his research interests are innovative design and product development.

Prior to HKUST, he was the Human Factors Manager at the NIKE Sport Research Lab in Beaverton Oregon, and a Senior Ergonomist at the Biomechanics Corporation of America in Long Island New York. He has served as a consultant for many multi-national companies in the area of Ergonomics and Product Design. He is a Fellow of the Human Factors and Ergonomics Society (USA), International Ergonomics Association and the Hong Kong Ergonomics Society.

Course Staff Image #2

Sai-Kit Yeung
Associate Professor at The Hong Kong University of Science and Technology

Dr. Sai-Kit Yeung is currently an Associate Professor at the Division of Integrative Systems and Design (ISD) and the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST, he was an Assistant Professor at the Singapore University of Technology and Design (SUTD) and founded the Vision, Graphics and Computational Design (VGD) Group. During his time at SUTD, he was also a Visiting Assistant Professor at the Computer Science Department at Stanford University and the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Prior to that, he had been a Postdoctoral Scholar in the Department of Mathematics, University of California, Los Angeles (UCLA). He was a visiting student at the Image Processing Research Group at UCLA in 2008 and the Image Sciences Institute, University Medical Center Utrecht, the Netherlands in 2007. He received his Ph.D. degree in Electronic and Computer Engineering, M.Phil. degree in Bioengineering, and B.Eng. degree (First Class Honors) from HKUST, respectively in 2009, 2005 and 2003.

Dr. Yeung's research expertise is in computer vision and computer graphics. His current research interests include 3D contents (scene and shape) reconstruction, understanding, modeling, and redesign, as well as computational design (using AI techniques for design and content generation), computational fabrication, visual understanding, and human-AI interaction.

  1. Course Number

    ISDN2300
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    5–6 hours per module
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