Model hybrid energy systems and explore how data and optimization inform system design and operation.
This project-centered program examines combinations of solar, wind, storage, and grid resources. Learners explore load data, modeling assumptions, system integration, and economic or performance trade-offs. A chosen simulation or optimization project connects technical reasoning with the interpretation of results.
Proposed learning outcomes for this program example:
The sequence below illustrates how this program’s content can be organized. Topics, pacing, and project depth are adapted for each offering. This is not an archived record of a specific cohort’s weekly syllabus.
Explore a research application in construction vision, building modeling, or digital-twin environments.
Connect computer vision, machine learning, and physical modeling through a focused engineering research question.
Study how natural-language preferences can be interpreted and evaluated in a simulated driving decision system.