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AGRY 42000 - Computing For The Natural Sciences |
Credit Hours: 3.00. Basic programming, problem solving, data visualization and communication in the context of agriculture and natural science research using R. Topics include iteration, functions, vectors, strings, algorithms, graphics and reproducible reports in R. This course is appropriate for undergraduates with a curiosity in computing fundamentals and interest in working with research data, especially those potentially applying to graduate school. Also appropriate for graduate students, researchers or other professionals who desire an introduction to programming with R. NO programming experience is necessary. This is not a statistics course; having had introductory statistics and some background coursework in agricultural or other natural sciences is expected.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: College of Agriculture Department: Agronomy Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Design, code and test small R programs. 2. Use programming to solve problems. 3. Communicate results with clean, reproducible reports. Prerequisites: Undergraduate level STAT 22500 Minimum Grade of D- or Undergraduate level STAT 30100 Minimum Grade of D- |
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