Courses

Hands-on computational training, ecological modeling, and reproducible research workflows.

Upcoming · Starts in between Dashain & TiharAutumn Cohort

Computational Methods for Forestry Research

A hands-on research program designed to equip students with quantitative and computational skills to turn raw field observations into reproducible scientific evidence using R, Python, and Google Earth Engine.

R & RStudioPythonEcological AllometryGoogle Earth EngineLiDAR & Spatial WorkflowsQuarto Reports

View Orientation & Pre-Session Setup

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More Curriculum Modules in Development

Additional deep-dives covering geospatial data engineering, automated climate pipelines, and full-stack ecological applications will be posted here.