The course is designed for beginning postgraduate students. The course will provide students with knowledge in understanding and using statistical methods in environmental science and applications. Probability distributions, parametric tests of significance against non-parametric tests, Monte Carlo methods, spatial and time series data analysis, Principal Component Analysis, and correlation method etc. will be taught in the course facilitated by extensive use of real world problems as example. The students will be able to apply these methods in various environmental applications and learn to interpret the data to solve environmental problems.

Continuous Assessment: 40%

Examination: 60%

Examination Duration: 2 hours