- Hands On Machine Learning with Scikit-Learn and Tensor Flow by Geron , Ingram/O'Reilly (2017) ISBN 978-1491962299 (Required).
You will need a suitable computer. The University's Computer Recommendations are appropriate for this course for Windows and OS X. If you use the Linux operating system this course, the recommendations for Windows computers will also be suitable for Linux.
Please see the Online Learning page for more information regarding expected student student access to the internet, and corresponding software.
Please see the Mercer's Distance Learning page for more information regarding expected student student access to the internet, and corresponding software.
This is a course in machine learning techniques other than neural nets/deep learning (which will be covered in Machine Learning II).
This Online Learning course begins on January 7, 2019 at 12:00 am Eastern time. All assignments are due by the end (11:59:00 pm) of the specified calendar day in the Eastern time zone. This course ends at 11:59:00 pm on April 29, 2019, in the Eastern time zone.Back to Top
SSE 550 Object-Oriented Design I
This prerequisite provides one graduate-level 3 semester hour course in C++ or Java or C#.
Please see the Online Learning page for more information regarding expected student abilities and aptitudes.Back to Top
Percent of Term Grade
|Direct Activity Report 1||
|Direct Activity Report 2||
|Direct Activity Report 3||
Credit will be given only for original work.
The Office of the Provost's "Academic Integrity page includes a link to the Graduate Honor Code, which covers issues such as plagiarim. Please take a good, careful look at the Graduate Honor Code. Plagiarism is not acceptable in this, or any, course.
Project reports are to be submitted complete, not as incremental partial submissions.
All course work time is categorized as either Direct or Non-Direct (but not both). More information about the Direct and Non-Direct categories is contained in the Direct and Non-Direct and Report Logs. Please read these pages very carefully.
Federal and regional accreditation requirements stipulate that a 3-credit hour course must include 150 minutes of direct instruction time per week. For this course, that direct instruction time includes"
In addition to the 150 minutes of direct instruction time each week, students are expected to spend a minimum of 300 additional minutes per week completing reading and writing assignments:
All deliverables (Activity Reports and Project Reports) are due on their assigned dates .
Use the Report Logs to help you to manage your time and keep on schedule. You should schedule your work evenly throughout the term.
More information about project grading is contained in the General Project Rubric .
All Direct Activity Reports include a Direct Activity Log, and may include additional supporting material at your discretion.
All Project Reports include a Non-Direct Activity Log, in addition to your work on the project.
There will be changes to this syllabus, so check back frequently, and don't forget to hit "Reload" or "Refresh".
|January 7, 2019||April 29, 2019||Course in Progress|
|January 7, 2019||Login in to the course on Canvas.|
|January 7, 2019||February 11, 2019||Work on Project 1|
|February 4, 2019||
Direct Activity Report 1 due
|February 11, 2019||
Project 1 due
|March 18, 2019||
Direct Activity Report 2 due
Project 2 due
|April 29, 2019||
Direct Activity Report 3 due
Project 3 due
Notes: The course begins at midnight (12:00 am) on the first day of class (see schedule above), and ends at 11:59:00 pm on the last day of class. Assignments are due at any time during the day specified on the schedule, that is, before 11:59:00 pm on that day. All times are Macon, Georgia (Eastern time zone) times.