Cognitive Computing Using Watson
Big data is a popular term that refers to
the large volume of data from an increasing number of sources now available to
facilitate data-driven decision-making. Cognitive computing, which employs
techniques from data management, natural language understanding, data mining
and machine learning, involves the organization and management of big data and
the complex analysis of the data to extract information and support
decision-making. Cognitive computing can be used in a wide range of domains
including health, finance, risk management, marketing, urban planning, and
examines models and methods underlying cognitive computing and its impact on
organizations and decision-making. Students apply cognitive computing
techniques to data from a chosen application domain using the Watson system
from IBM. Students work in teams to select, design, develop and produce a
business plan for an application that uses the capabilities of Watson.
The course is
open to students in Commerce and to students in the computing disciplines.
There will be an equal number of both groups of students in the course and
project teams will include students from both groups.
Admission to the
course is limited and is by permission of the departments. It is recommended
that students with a computing background have taken CISC 332 (Database
Management Systems) or CISC 282 (Fundamentals of Web and Mobile Applications),
or have equivalent experience.