University of Wyoming MA 5490-01/COSC 5010-02, 2018 Fall

Tuesday and Thursday, 10:50-12:05, 241 Ross Hall

Office Hours: Monday 9:45-10:45, Tuesday/Thursday 1:00-2:00

Professor Craig C. Douglas

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 and anomalies in either data sets or bases. The data can be either static or dynamic and can come from streams that are not saved. This course also provides an overview of MapReduce-like systems, hash table methods, finding data in files and data streams, market-basket methods, clustering, machine learning, and dimension reduction methods.

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


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


227 Ross Hall

Office Hours

Suggested Reading

Note for Computer Science Graduate Students

Computer Science graduate students may use the course to satisfy either the Artificial Intelligence or Systems: Networking, Distributed Computing, and Data Management breadth areas, but not both.

Craig C. Douglas

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