LAR 381R
Landscape Modeling is ideally suited for intermediate-level students who seek an opportunity to embrace digital landscape modeling techniques, emphasizing achieving complexity through visualization tools. The course will emphasize creating three-dimensional models in support of design representation. Themes of view construction and visualization will be discussed throughout the semester.
Lectures, demonstrations, and student projects will focus on the digital translation of landscape typologies. The course concerns the underlying data structures and software environments that dictate representational choices for landscape architectural design. Do not consider the class a substitute for software training. The course will emphasize techniques, versatility, and method, not software. Skills
and techniques are cumulative over the semester.
Weekly exercises aim to build technical skill development and foster versatility to support a digital
imagination.
LEARNING OBJECTIVES:
- Define the digital repertoire in relation to vector data structures and topological progression. Including the underlying data structures and software environments that dictate representational
choices for landscape architectural design (Objective Type = Knowledge) - Assemble a repertoire of digital techniques for constructing typical landscape architectural conditions (Street, Park, Meadow, Stream) (Objective Type =Synthesis)
- Construct and visualize accurate scenes reflecting the conditions of the designed landscape. (Environments, Cameras, materials, time-based processes. (Objective Type =Application)