To register for this course, please go to http://www.odum.unc.edu/datamatters

This course will begin with a survey of cognitive computing to address the growing analytic challenges of large-scale data that tend to represent complex and diverse networks of people, places, and things. We will discuss new representations, such as graph databases and associative memories, and new statistical methods, such as lazy learning and algorithmic modeling, different from traditional databases and data modeling. Cross-industry applications will be highlighted, with exercises in data-to-knowledge transformations, including hands-on demonstrations of network analytics for sense-making and predictive/anticipatory analytics for decision making. There are no pre-requisites, but familiarity with data representations and advanced data analysis is suggested. Suggested searches: cognitive computing, graph databases, semantic networks, link analysis, network analysis, entity network analytics, lazy learning, memory-based reasoning, associative memory base, algorithmic modeling, information distance, predictive analytics, anticipatory analytics.

**Cancellation Policy The following refund policy will apply in the event of cancellations:

• Full refunds, less a 33% cancellation fee, will be issued for any course enrollments canceled by you before May 14, 2014.

• Full refunds, less a 50% cancellation fee, will be issued for any course enrollments canceled by you between May 14, 2014 and June 15, 2014.

• Full refunds, less a 75% cancellation fee, will be issued for any course enrollments canceled by you after June 15, 2014.

• Prior to the event start date, if we cannot accommodate you in a course you registered for, we can issue a credit toward any UNC Odum Institute course (except for ICPSR courses) or issue you a full refund for the course. Credits must be used by September 30, 2014.