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| EAPS 51000 - Climate Time Series Analysis |
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Credit Hours: 3.00. This course in time series analysis combines traditionally taught basics with topics of central importance in current weather and climate research, including long memory, extremes, nonlinear time series, chaos and complexity. 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. Understand concepts and methods of classical time series analysis. 2. Get hands on experience in resampling methods for time series analysis, which work for complex data sets without having to rely on strong assumptions common in classical time series analysis but rarely met in geosciences. 3. Learn how to match a time series methods to a particular geosciences data set or question. 4. Develop skills in writing programs in R to analyze geosciences data and interpret results. 5. Learn basics of advanced topics instrumental in geosciences: long memory, extremes, nonlinear time series, chaos and complexity. 6. Improve their critical thinking and oral communication skills via giving presentations on their research projects involving topics covered in the course. Restrictions: May not be enrolled as the following Classifications: Freshman: 15 - 29 hours Sophomore: 45 - 59 hours Freshman: 0 - 14 hours Sophomore: 30 - 44 hours Prerequisites: GR EAPS 510000 Requisite General Requirements: ( Student Attribute: GR May not be taken concurrently. ) or ( Course or Test: STAT 51100 Minimum Grade of D- May not be taken concurrently. ) or ( Course or Test: EAPS 50900 Minimum Grade of D- May not be taken concurrently. ) or ( Course or Test: EAPS 31000 Minimum Grade of D- May not be taken concurrently. ) |
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