Professor Craig C. Douglas

http://www.mgnet.org/~douglas/Classes/bigdata

 

General Descriptions

Courses on the use of Big Data. Secondary topics include data mining and dynamic (big) data-driven application systems (DDDAS/DBDDAS).

Big Data and Mining

Course Descriptions

Graduate version: An advanced topics course. Dynamic Big Data-Driven Application Systems (DBDDAS) is a paradigm whereby applications and measurements become a symbiotic feedback control system with the ability to dynamically incorporate additional Big Data into executing applications and dynamically steer the measurement process, which provides more accurate analysis and prediction, more precise controls, and more reliable outcomes. Data mining is a paradigm to find hidden data in either data sets or bases. The data can be either static or dynamic and can come from streams that are not saved.

Undergraduate version: The course will be similar to the graduate level course. There will be more emphasis on just data mining, however.

Prerequisites

An eclectic group of students who are not afraid to program or use a computer and manipulate data in new ways.

Taught at and when

University of Wyoming: Spring 2015

Cheers,
Craig C. Douglas

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