Texts
- Scipy Lecture Notes (Required).
- Scikit-Learn Examples (Required).
- The Wikipedia page on Machine Learning (Required).
This course will be extensively modified from past offerings, using Machine Learning (ML) techniques (not including neural nets/deep learning) from Scikit-Learn for analysis, and MatPlotLib (from SciPy) for visualization. The programming language will remain Python.
The syllabus for this course will be available at or before the beginning of this course.
TBD
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.
This Online Learning course begins on August 20, 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 December 10, 2019, in the Eastern time zone.
Back to TopSSE 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.
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Item
|
Percent of Term Grade
|
Project 1 |
25
|
Project 2 |
35
|
Project 3 |
40
|
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 plagiarism. 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.
More information about project grading is contained in the General Project Rubric .
All course work time is categorized as either Direct or Non-Direct (but not both). Read Direct and Non-Direct and Report Logs before continuing. Please read these pages very carefully.
There will be changes to this syllabus, so check back frequently, and don't forget to hit "Reload" or "Refresh".
Start Date
|
End Date
|
Activity/Event
|
August 20, 2019 | December 10, 2019 | Course in Progress |
August 20, 2019 | Login in to the course on Canvas. | |
January 7, 2019 | September 16, 2019 | Work on Project 1 |
September 16, 2019 |
Project 1 due |
|
October 21, 2019 |
Project 2 due |
|
December 10, 2019 |
Project 3 due Course ends |
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.