Master’s in Data Science Courses & Curriculum | Northwestern SPS - Northwestern School of Professional Studies

Course Schedule, Part-time Online Program

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

Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.

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 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.