Environmental Science · Intermediate
Environmental Engineering & Quality Analytics
Assess water, air and soil quality, interpret standards and apply statistical and soft-computing methods to environmental data.
Course modules
- 01Environmental systems and Indian standards
- 02Water and wastewater quality assessment
- 03Air quality data and indices
- 04Statistical analysis of environmental data
- 05Soft computing and multi-criteria decision making
- 06Environmental impact and risk assessment
Learning outcomes
- Analyse and interpret environmental datasets
- Build quality indices and risk maps
- Support decisions with transparent methods
Project-based training
Every participant completes a capstone: Environmental impact and risk assessment. Labs use real environmental, agricultural or engineering datasets.
Tools
- Python / R
- QGIS
- Excel
- MCDM tools
Who it’s for
Environmental & civil engineering students, consultants, regulators
Prerequisites
None
