EPOL 479

fall 2025
 
All Classes

Credit: 4 hours.

Examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools.

4 undergraduate hours. 4 graduate hours.

Closed
Section Status Closed
Open
Section Status Open
Pending
Section Status Pending
Open (Restricted)
Section Status Open (Restricted)
Unknown
Section Status Unknown
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