Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 459-DL : Knowledge Engineering


This course introduces knowledge representation as a subfield of artificial intelligence. It reviews methods for developing knowledge-based systems, providing examples of their use in intelligent applications and agents. The course makes heavy use of graph databases for storing information about words in semantic networks and for storing information about relationships among people, places, events, and things. Students learn how to encode and access knowledge on the World Wide Web. They learn how to use knowledge bases for automated reasoning and question answering. This is a project-based course with extensive programming assignments.

Pecommended prior courses: MSDS 453 Natural Language Processing and MSDS 458 Artificial Intelligence and Deep Learning.

Prerequisites: (1) MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.

Spring 2021
Start/End DatesDay(s)TimeBuildingSection
03/29/21 - 06/06/21Optional Sync Th
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
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