215 Methods of Oceanographic Data Analysis
The goal of the course is to learn and practice simple techniques for analyzing physical, chemical, biological, and geological oceanographic data, including basic statistics, curve fitting, and graphics. Students will learn these techniques through examples from ocean data sets. The work will be done in the context of the Python programming language, which students will learn as part of the course. Approximately half the effort in this course will be to become familiar with data analysis techniques, with the other half devoted to becoming proficient with Python. No previous knowledge of Python, programming, or analysis techniques is assumed. Students should have a basic knowledge of calculus such as from Math 125 and 126 (or equivalents).
Prerequisites: MATH 125 or QSCI 292