📚 Syllabus & Course Curriculum
Nanotechnology & Materials Science
Module-by-module breakdown of AI for Ecosystem Intelligence, Biodiversity Monitoring & Restoration Planning, from foundations to a certified capstone project.
Survey Design
• Occupancy and detectability: absence of evidence is not absence
• Survey design, sampling effort and spatial bias in citizen-science data
• Biodiversity metrics and what each does and does not capture
Sensing
• Bioacoustic monitoring and species classification from soundscapes
• Camera trap pipelines: detection, individual identification, sequence handling
• Environmental DNA metabarcoding and bioinformatic assignment limits
Remote Sensing
• Optical and radar satellite data for land cover and canopy structure
• Change detection, deforestation alerts and cloud-gap handling
• Scale mismatch between satellite pixels and ecological processes
Modelling
• Species distribution modelling and extrapolation under climate change
• Connectivity and corridor analysis for restoration prioritisation
• Spatial prioritisation under budget and land-tenure constraints
Practice
• Monitoring restoration outcomes rather than area planted
• Reporting frameworks including TNFD and national biodiversity commitments
• Working with local and indigenous knowledge holders and data sovereignty
Earn government-registered certification in AI for Ecosystem Intelligence, Biodiversity Monitoring & Restoration Planning
e-Certificate and e-Marksheet issued on successful completion.
