STAT 483: Interdisciplinary Data Analytics Practicum

Course Description

Credits 3.
3 Lecture Hours.. Application of data analytic methods and technologies in domain-based problems with real-world data; use of relevant machine learning platforms and open source tools; organization of project activities to meet goals; written and oral communication skills and methods for effective collaboration in teams with members drawn from varied technical disciplines.Prerequisite:STAT 404,ISTM 313,ISTM 315,PETE 404,GEOP 361,CSCE 310, orCSCE 314;STAT 408,SCMT 305,ECEN 360,STAT 315,CSCE 305,GEOL 360,CSCE 305,CSCE 320/STAT 335, or STAT335;STAT 436,STAT 421,CSCE 421,ISTM 360, orPETE 419.