Theoretical foundations, algorithms and methods of deriving valuable insights from data; includes foundations in managing and analyzing data at scale, e.g. big data; data mining techniques and algorithms; exploratory data analysis; statistical methods and models; data visualization. Prerequisites: STAT 211 or ECEN 303; STAT 212 or CSCE 222/ECEN 222; MATH 304. Cross Listing: STAT 335/CSCE 320 Credits 3. 3 Lecture Hours.
Theoretical foundations, algorithms and methods of deriving valuable insights from data; includes foundations in managing and analyzing data at scale, e.g. big data; data mining techniques and algorithms; exploratory data analysis; statistical methods and models; data visualization. Prerequisites: STAT 211 or ECEN 303; STAT 212 or CSCE 222/ECEN 222; MATH 304. Cross Listing: STAT 335/CSCE 320 Credits 3. 3 Lecture Hours.
