Data analysis methods in physcial oceanography

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The sample scripts are scaffolded to build confidence from running a pre-made script to small modifications to starting a new script from scratch. If the class has mixed experience, pairing novice and experienced students together works well (have the novice student type and experienced student coach).

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I spend a good deal of time walking through the various MATLAB windows and the example script with the whole class. Students with no prior coding experience often feel overwhelmed at the start of the activity. Introduction to Ocean Data (PowerPoint 2007 (.pptx) 6.3MB Nov8 19) Teaching Notes and Tips

Matlab script for CTD data (Matlab File 1kB Nov8 19) Matlab script for wind data (Matlab File 2kB Nov8 19) Matlab script for tide data (Matlab File 1006bytes Nov8 19) Matlab_example1.m (Matlab File 1kB Nov8 19) Student handout (Microsoft Word 2007 (.docx) 24kB Nov8 19)

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Equivalent software (e.g., Python) could be substituted to achieve the same objectives, especially at institutions without a MATLAB license. MATLAB was selected as the primary software to prepare students in the course for an upper level MATLAB-based programming course and/or for working on independent research with faculty. It can easily be modified to use oceanographic data from other locations (or data from different disciplines altogether). The activity focuses on physical oceanographic data sets from sources near our institution because it is used in a methods course for Oceanography majors.

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It also requires modification of the script to convert units.ДЄfter completion of the in-class activity, students apply these techniques to a new time series data set (Learning Goal #5) and prepare a written report that collects figures, figure captions and a written interpretation of the data (Learning Goal #4).

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CTD data (plot_ctd.m): This script demonstrates how to invert axes for vertical profile graphs commonly used in Oceanography (Learning Goal #3). Students are asked to describe changes in the data over time and compare multiple time series (Learning Goal #4).ДЈ. Wind data (plot_wind.m): This script introduces new graph functions (quiver and compass) for use with vector data (Learning Goal #3). The students import Excel data from two tide gauges (Learning Goal #1), find the center and spread of the data with basic statistical functions (Learning Goal #2), and create a new variable.Дў. Tide data (plot_tides.m): This part of the activity begins with time series graphs and use of functions in the Command Window. Students then work in pairs through the rest of the activity handout exercises in order:ДЎ. To provide an overview of MATLAB software, I walk through Matlab_example1.m section by section and circulate to make sure every student has a working copy of MATLAB running. An example of elevated water levels during Hurricane Sandy is used as a hook, which many of the students relate to as an impactful event to the Mid-Atlantic region of the U.S. I begin class with a brief lecture on the types of data we will work with (Introduction to Ocean Data Powerpoint).

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Students receive the attached handout and are directed to download a zipped folder of MATLAB scripts and Excel spreadsheets from the course management system. This page first made public: Aug 23, 2019 The five categories included in the peer review process are Resources in this top level collection a) must have scored Exemplary or Very Good in all five review categories, and must also rate as вЂњExemplaryвЂќ in at least three of the five categories. This activity was selected for the On the Cutting Edge Exemplary Teaching Collection

Completeness of the ActivitySheet web pageДЇor more information about the peer review process itself, please see.

Robustness (usability and dependability of all components).

Alignment of Learning Goals, Activities, and Assessments.

Computational, Quantitative, and Scientific Accuracy.

Resources in this collection a) must have scored Exemplary or Very Good in all five review categories, and must also rate as вЂњExemplaryвЂќ in at least three of the five categories. This activity was selected for the Teaching Computation in the Sciences Using MATLAB Exemplary Teaching Collection

Data analysis methods in physcial oceanography