| Spring Term 2023 Data-Scientific Programming - 3058 - CMSC 205 |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Prerequisites/Notes: One prior course MATH, STAT, or CMSC course, 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
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
