Master Digital Twins for Climate-Resilient Sustainable Systems in 4 weeks through hands-on, project-based online training with DSTC.
Nanotechnology & Materials Science
Module-by-module breakdown of Digital Twins for Climate-Resilient Sustainable Systems, from foundations to a certified capstone project.
Outline
Explore digital‑twin architecture for buildings, campuses and industrial sites • Identify key sustainability and climate‑risk indicators • Create system‑mapping and indicator‑matrix using Google Colab, Python and QGIS
Outline
Model resource flows, energy demand and operational stress with SimPy/AnyLogic • Apply Python‑based AI techniques for pattern detection in climate data • Interpret simulation outcomes to inform resilience decisions
Outline
Transform twin and simulation data into actionable dashboards (Power BI, QGIS) • Design ESG‑ready visualisations and resilience scoring • Deliver a mini‑project: end‑to‑end climate scenario decision dashboard
e-Certificate and e-Marksheet issued on successful completion.