📚 Syllabus & Course Curriculum
Nanotechnology & Materials Science
Module-by-module breakdown of Predictive ML of Bio-Sourced Polymers for Circular Economy Infrastructure, from foundations to a certified capstone project.
Outline
Explore bio‑sourced polymers and circular‑economy principles • Extract and clean research‑paper data for ML • Engineer features for polymer performance prediction • Hands‑on: Build a polymer dataset and conduct exploratory analysis in Colab
Outline
Implement a full ML workflow for materials science • Train regression models (Linear, Random Forest, Gradient Boosting) • Predict mechanical, thermal, and biodegradability properties • Evaluate models with MAE, RMSE, R² and interpret feature importance
Outline
Integrate predictive ML into circular‑economy decision frameworks • Conduct multi‑objective analysis of performance vs sustainability • Rank polymers for packaging, biomedical, and infrastructure use cases • Develop AI‑assisted recommendation systems for research/industry
Earn government-registered certification in Predictive ML of Bio-Sourced Polymers for Circular Economy Infrastructure
e-Certificate and e-Marksheet issued on successful completion.
