Description:
Introduction to the concepts of data and modeling. Perspectives of data as needed by different processes and people are examined; including the interrelationship of data with different modeling techniques. Supervised and unsupervised modeling techniques are examined.

Prerequisites:
DAC 101 and CIS 210 (or concurrent registration)

Typically Offered on the Main Campus:
Fall and Spring

Credits: 3

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