Computational Data Science

Catalog description

Credits 3. 3 Lecture Hours. Computational practice of data science through a sequence of interactive modules that provides an integrated hands-on approach to its methods, tools, applications and supporting technologies including high performance and cloud computing platforms. Prerequisites: Grade of C or better in ENGR 102 , CSCE 110 , CSCE 111 , or CSCE 206 ; grade of C or better in MATH 251 , MATH 253 , or STAT 211 ; junior or senior classification. Cross Listing: CSCE 305 and STAT 315 .