Graduate Research Programme


Fundamentals of Data Science for Earth and Environmenal Systems Science

Course Code: ES7023
Course Description:
Modeling, simulation, statistical learning and data science methods are powerful tools for earth and environmental systems sciences. This course will cover the major concepts for building and evaluating models, including fundamentals of statistical and machine learning. Topics covered include (1) basic concepts and tools in data science, (2) statistical thinking, (3) goals and principles of scientific modeling, (4) model development, (5) model calibration and selection, (6) sensitivity analysis, (7) model evaluation, (8) model predictions, (9) results visualization and communication. Students will gain hands-on experience in developing models and simulations (using R programing language).
Next Offered: Sem 2
Lecturer: David LALLEMANT
Office Location: N2-01c-45
Years Offered:
AY 2018 - 2019