Systematic study and offering of specialized subject matter. Topics vary and are announced in the preceding quarter. May be repeated for credit.
Computational Lighting Design is an innovative course that draws from recent developments in lighting simulation, visualization, per-pixel measurement and analysis techniques. It provides an understanding of the theoretical aspects of computer applications for lighting design and analysis; and the practical knowledge of tools and techniques that enhance the integration of the lighting analysis into the architectural design process.
We will be tackling two main topics: HDR photography is a computational photography technique where multiple exposure photographs are fused into a single HDR image. A single HDR image captures an entire array of lighting measurement data with a common digital camera.
Lighting simulation and visualizations will be performed using Ecotect and Radiance.
Student learning goals
Provide an overview of principles, theories, methods that underlie the applications of computers in lighting design and analysis;
Create awareness and familiarity with the current issues in the lighting research and design;
Provide hands-on experience with the state of the art lighting simulation, visualization, per-pixel measurement and analysis tools.
General method of instruction
Class assignments and grading