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SEE5211 - Data Analysis in Environmental Applications

Offering Academic Unit
School of Energy and Environment
Credit Units
3
Course Duration
One semester
Pre-cursor(s)
MA2158 and
MA2176
or equivalent
Equivalent Course(s)
Course Offering Term*:
Semester B 2021/22

* The offering term is subject to change without prior notice
 
Course Aims

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.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
 
Detailed Course Information

SEE5211.pdf

Useful Links

School of Energy and Environment