 | Select the desired Level or Schedule Type to find available classes for the course. |
| EAPS 51500 - Geodata Science |
|
Credit Hours: 3.00. Course covers a range of topics with applications of mathematical, statistical, numerical, and distributed parallel computing methods for modeling and understanding complex and large spatio-temporal geoscience datasets in the formats common to in-situ observations, asynoptic remote sensing data, volumetric gridded analysis, etc. Typically offered Fall Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Science Department: Dept Erth Atmos & Planetry Sci Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Identify and load into R the relevant data to solve a specific geoscience problem. 2. Design effective data import, tidying, and transformation procedures using geoscience knowledge. 3. Determine what and how to plot large geoscience datasets to guide each step in the workflow. 4. Judge whether model assumptions are reasonable and if the chosen models fit the data using geoscience domain knowledge. 5. Appraise and conclude the results of a geodata-science project professionally. Prerequisites: GR EAPS 51500 Requisites General Requirements: ( Student Attribute: GR May not be taken concurrently. ) or ( Course or Test: EAPS 50700 Minimum Grade of D- May not be taken concurrently. ) or ( Course or Test: EAPS 50900 Minimum Grade of D- May not be taken concurrently. ) |
| Return to Previous | New Search |
 |