Data Science

ERTH-4350

Data science is advancing the inductive conduct of science and is driven by the greater volumes, complexity, and heterogeneity of data being made available over the Internet. It combines aspects of data management, library science, computer science, and physical science. It is changing the way all of these disciplines do both their individual and collaborative work. Key methodologies in application areas based on real research experience are taught. This course meets with CSCI 4350 Â / ITWS 4350 Â and CSCI 6350 Â / ITWS 6350 . A student can get credit for only one of these courses. Â

3 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Data Science (3c)
  • Thilanka Munasinghe
Seats Taken: 0/1
2022
Data Science (3c)
  • Thilanka Munasinghe
Seats Taken: 1/1
2021
Data Science (3c)
  • Thilanka Munasinghe
Seats Taken: 1/1
2020
Data Science (3c)
  • Thilanka Munasinghe
Seats Taken: 0/1
2019
Data Science (3c)
  • Thilanka Munasinghe
Seats Taken: 1/0
2018
Data Science (3c)
  • Thilanka Munasinghe
Seats Taken: 0/0
2017
Data Science (3c)
  • Peter A Fox
Seats Taken: 0/0
2016
Data Science (3c)
  • Linda Kramarchyk
  • Peter A Fox
  • Gregory N. Hughes
Seats Taken: 0/0
2015
Data Science (3c)
  • Thomas Neil Hughes
Seats Taken: 0/0
2014
Data Science (3c)
  • Peter A Fox
Seats Taken: 0/0
2013
2012
2011
2010
2009
2008
2007