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


Description

This course reviews methods for developing knowledge-based systems, providing examples of their use in intelligent applications and conversational agents. It uses relational, document, and graph databases for storing information about relationships among words, people, places, events, and things. Students learn about knowledge representation and automated reasoning. They query databases and employ logic programming and machine learning in applications for information extraction and delivery, including question answering applications.

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.


Fall 2022
Start/End DatesDay(s)TimeBuildingSection
09/20/22 - 12/10/22Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
Online
Open

Winter 2023
Start/End DatesDay(s)TimeBuildingSection
01/03/23 - 03/18/23Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
Online
Open

Spring 2023
Start/End DatesDay(s)TimeBuildingSection
03/27/23 - 06/10/23Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Miller, Thomas
Online
Open
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