Data Mining
Prerequisite: (COMP 231 or COMP 251 or COMP 271) and (STAT 103 or STAT 203 or ISSCM 241 or PSYC 304 or instructor permission).
This course covers theory and practice of the analysis (mining) of extremely large datasets. With data growing at exponential rates knowledge gathering and exploration techniques are essential for gaining useful intelligence.
Outcomes: Students will be able to define and critically analyze data mining approaches for fields such as security, healthcare, science and marketing.
This course covers theory and practice of the analysis (mining) of extremely large datasets. With data growing at exponential rates knowledge gathering and exploration techniques are essential for gaining useful intelligence.
Outcomes: Students will be able to define and critically analyze data mining approaches for fields such as security, healthcare, science and marketing.