|Winter Term 2020 Data-Scientific Programming - 1951 - CMSC 205
Prerequisites/Notes: One prior course in mathematics or computer science, or BIOL 170, 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.
Attributes: Quantitative Analy GER (01cr), BM Natural Science (01cr), Foundation/Gateway Course