Data Analytics

CSCI-4600

The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics is an entire methodology rather than individual analyses or analysis steps.

3 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 10/10
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 0/10
2023
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 8/10
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 9/10
2022
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 9/10
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 10/10
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
The Human-computer Interface (4c)
  • Michael M. Danchak
Seats Taken: 25/30
2004
2003
Human Comp Interface (4c)
  • Michael M. Danchak
Seats Taken: 44/60
2002
2001
2000
1999
1998