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Course Description

CSCE 883 - Machine Learning

Class Session: Thursday, August 23, 2018 - Friday, December 07, 2018

Credit: 3 semester hours of graduate credit

Prerequisites: CSCE 580

Instructor: Jianjuan Hu

Note: APOGEE STUDENTS ONLY


Course Description

Fundamentals of machine learning including rote learning, learning from examples, learning from observations, and learning by analogy; knowledge acquisition for expert systems.


General Information

Class meets on Tuesdays and Thursdays from 1:15pm-2:30pm


Course Delivery Type

A Web course is taught using one or more web delivery platforms such as Blackboard, Streaming Video, Adobe Connect etc. Students must have access to a high-speed Internet connection. More information will be provided by the instructor in the course syllabus.

(100% asynchronous - if course has any online or face-to-face meetings, live attendance will not be required. For any such sessions, there will be alternative ways to view or obtain the material covered).


Course Materials

See course syllabus for materials information.


Syllabus Information

Enrolled students will be able to view in Blackboard.


Assignment Information

Enrolled students will be able to view in Blackboard.


Information is accurate as of June 18, 2018, 3:34 am (Subject to change)

Special Fee Notification

Students may be required to be proctored during online test completion. If students are unable to attend test proctoring sessions in person at the Distributed Learning office, additional fees may apply for online test proctoring if the course requires online testing.



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