Syllabus for SSE 692

Machine Learning (Special Topics)

Spring Semester 2019

100% Online

The syllabus for this course will be available at or before the beginning of this course. In the meantime, you can see

a syllabus for a recent offering of this course. This course will be extensively revised.

Contact Information

My Name: Dr. Paul E. MacNeil
My E-mail: macneil_pe@mercer.edu .
My Office Phone: 478 301-2185
US Mail:

Dr. Paul E. MacNeil
School of Engineering
Mercer University
1501 Mercer University Drive
Macon, GA 31207

Important Additional Information:

“Students requiring accommodations or modifications for a disability should inform the instructor at the close of the first class meeting or as soon as possible. The instructor will refer you to the ACCESS and Accommodation Office to document your disability, determine eligibility for accommodations under the ADAAA/Section 504 and to request a Faculty Accommodation Form. Disability accommodations or status will not be indicated on academic transcripts. In order to receive accommodations in a class, students with sensory, learning, psychological, physical or medical disabilities must provide their instructor with a Faculty Accommodation Form to sign. Students must return the signed form to the ACCESS Coordinator. A new form must be requested each semester. Students with a history of a disability perceived as having a disability or with a current disability who does not wish to use academic accommodations are also strongly encouraged to register with the ACCESS and Accommodation Office and request a Faculty Accommodation Form each semester. For further information, please contact Carole Burrowbridge, Director and ADA/504 Coordinator, at 301-2778 or visit the ACCESS and Accommodation Office website at http://www.mercer.edu/disabilityservices.

Accreditation: Mercer University is accredited by SACSCOC.