This course is devoted to prediction, which has two components; simulating scenarios (prediction sensu stricto) and forecasting (calculating future trends from past observations). For this, the course will review both numerical simulation methods and statistical time and space series analysis methods.
Cohort: 2017, 2018
Numerical methods for marine science
Time Series Analysis
Time Series Forecasting
Basic Statistics and Basic Modelling
Learning numerical and statistical methods allowing to predict future trends in biological oceanography. Understanding methods of data assimilation and optimal control used in biological oceanography and resources management.
Numerical and Statistical Methods
Programming (R and Scilab)
30% Written Exam
70% Personal Project Reporting