This course is designed to introduce the students to concepts, impacts, and basic principles of data and information systems. Applied examples will be introduced, analysed, solved. The laboratories of this course will cover introductory probability problems and statistics of real-life data, geometric transformation, and applications of eigenvalues and eigenvectors to data analysis.This course aims to:
• introduce students to the principles and techniques in environmental sampling; and risk assessment.
• provide students with an appreciation of the complex relationships of environmental variables and the heterogeneity of environment.
• help students to apply the principles and techniques of experimental and sampling design and data analysis in environmental studies.
• provide experience in application of the principles and techniques in environmental risk assessment.

Continuous Assessment: 40%

Examination: 60%

Examination Duration: 3 hours