Teaches programming in python, as well as analysis skills for accessing, analyzing and visualizing data that are commonly used in the atmospheric and oceanic sciences. Basic data analysis includes curve fitting and re-gridding/aggregation of satellite observations or meteorological data for global climatologies. The course content is primarily conveyed through hands-on code development. A final project, involving the independent analysis and visualization of a scientific data set, integrates skills acquired throughout the course. Same as ATOC 4815.
instructor(s)
Schmidt, Sebastian
Primary Instructor
- Fall 2019 / Fall 2023 / Fall 2024
Wang, Zhien
Primary Instructor
- Fall 2020 / Fall 2021 / Fall 2022
