MSCI 3560 - Big Data Analysis in the Sciences

Credits: 3

A course in basic quantitative and analytical tools used to understand large sciences datasets, primarily using examples from the geosciences. Students will gain confidence in both the interpretation of presented data as well as the application of tools used for a variety of data types. Concepts covered will include sampling theory and design, plotting and visualizing data, basic data analysis techniques in Excel and MatLab, linear regression and curve fitting, time-series analysis, introduction to geoscience models, management of large data sets, and scripting in at least one software program typically used in geosciences (e. g. , MatLab, R, etc. ). This course will use example data sets commonly collected from ocean observatories, satellite remote sensing, data loggers, tagging and tracking experiments, moorings, current meters, long-term climate data sets, and other common types of science data.

Prerequisite(s): BIOL 1107 or ENVS 2401 or MSCI 2010K or MATH 1113 or CISM 1130/CSCI 1130
Equivalent
DATA 3560