Big Data Analytics is the automated process for finding interesting, actionable information from large amounts of data. This course emphasizes the evolution from machine learning to big data analytics. Topics include data-driven science and engineering, basic data mining, machine learning approaches for big data, artificial neural networks, time series analysis and deep learning. There is a special emphasis on the use of scriptable code for Big Data Analytics.
Spring | Summer | Fall | ||
---|---|---|---|---|
(Session 1) | (Session 2) | |||
2023 | ||||
2022 | ||||
2021 | ||||
2020 |
Intro To Big Data Analytics (3c)
|
|||
2019 |
Intro To Big Data Analytics (3c)
|
|||
2018 |
Intro To Big Data Analytics (3c)
|
|||
2017 | ||||
2016 | ||||
2015 | ||||
2014 | ||||
2013 | ||||
2012 | ||||
2011 | ||||
2010 | ||||
2009 | ||||
2008 | ||||
2007 | ||||
2006 | ||||
2005 | ||||
2004 | ||||
2003 | ||||
2002 | ||||
2001 | ||||
2000 | ||||
1999 | ||||
1998 |