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	<title>ASp731 - Revision history</title>
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	<updated>2026-04-09T07:56:00Z</updated>
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		<title>Prashantt492: Creating course page via bot</title>
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		<updated>2026-03-04T10:20:43Z</updated>

		<summary type="html">&lt;p&gt;Creating course page via bot&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Infobox Course&lt;br /&gt;
| code = ASp731&lt;br /&gt;
| name = Data Analysis Methods for Atmospheric and Oceanic Sciences (Not allowed for : Any program other than AST and ASZ)&lt;br /&gt;
| credits = 2&lt;br /&gt;
| credit_structure = 0-0-4&lt;br /&gt;
| pre_requisites = &lt;br /&gt;
| overlaps = &lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
== ASp731 : Data Analysis Methods for Atmospheric and Oceanic Sciences (Not allowed for : Any program other than AST and ASZ) ==&lt;br /&gt;
Introduction to UNIX/LINUX, basic commands, file management; introduction to MATLAB, using Mathworks resources; MATLAB I/O with NetCDF, HDF and GRIB2; plotting 1, 2 and 3 dimensional weather/climate data and animations with MATLAB; Univariate &amp;amp; bivariate statistics, mean/median/mode, variance/standard deviation, correlation, errors, regression; probability and distributions, how to frame and test a hypothesis, principles of statistical significance, using MATLAB functions to test hypotheses and estimate statistical significance; working with spatial weather/climate data, regridding meteorological station data, interpolation, map overlays; working with time-series, interpolation, estimating trend in weather/climate variables.&lt;/div&gt;</summary>
		<author><name>Prashantt492</name></author>
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