| Winter Term 2017 Data-Scientific Programming - 1919 - CMSC 205 |
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Prerequisites/Notes: One course in mathematics or computer science, or consent of instructor Catalog Description : An introduction to programming with emphasis on learning from data in order to gain useful insights. Topics focus on elementary programming concepts in the R language and the necessary tools to handle, analyze and interpret data. This course will be taught in a workshop format, and students will complete regular assignments and a final project that provide hands-on programming/analysis experiences. PREREQUISITES: One prior course MATH, STAT, or CMSC course, or BIOL 170, or consent of instructor Attributes: GER Quantitative Analysis, 200-399 Foundation/Gateway Crs
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