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Apr 19, 2024
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MSS 200 - Coding for Quantitative Analysis
Prerequisites: MSS 100 and BIO 103 or BIO 104 or NATSC 103 or CHEM 191 or PHYS 109 or PHYS 201 or permission of instructor.
Requirement Fulfillment: Major, Minor
Delivery: Lecture
This course is an introduction to computer coding for quantitative data analysis. We will focus on components common to all coding languages, such as input/output, loops, decisions, and functions, but will use the Octave/Matlab programming environment. With the availability of large data sets in physics (e.g. meteorology and climatology), biology, oceanography, and other areas, the ability to write your own programs to analyze data will allow you to use data in a way that is otherwise inaccessible. Furthermore, your own code can be used to simulate processes you may find interesting, generate uncertainty estimates on measured quantities through resampling exercises, and many other specialized applications for which no software exists. Minimum Passing Grade: D-
3 credits
Spring
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