Syllabus for SSE 693

Machine Learning II: Deep Learning (Special Topics)

Summer Semester, Session 2, 2019

100% Online

Early Version - Expect Changes

June 24 - July 26, 2019



Texts

Software

Other Resources

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.

Course Description

This course will focus on deep learning using TensorFlow 1.13.1.

The programming language of instruction will be Python 3.7. C.f. Scipy Lecture Notes, sections 1.1 and 1.2 and/or "a minimal crash course..." and/or the "official" python tutorial.

This Online Learning course begins on June 24, 2019 at 12:00 am Eastern time. All assignments are due by the end (11:59:59 pm) of the specified calendar day in the Eastern time zone. This course ends at 11:59:59 pm on July 26, 2019, in the Eastern time zone.

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Course Objectives

Breadth and Depth in Defining, Analyzing, and Solving Complex Problems:

Communicate Technical Aspects of the Solution for Complex Software Engineering Problems to a Technical Audience:

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Prerequisite(s)

Prerequisite: Permission of the instructor.

You will need to be at least somewhat proficient in Python (3) programming when you start this course. Please contact the professor if you are not already proficient in Python programming.

Please see the Online Learning page for more information regarding expected student abilities and aptitudes.

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Class Location

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Grading

Item
Percent of Term Grade
Direct Activity Report 1
3
Direct Activity Report 2
3
Direct Activity Report 3
4
Project 1
30
Project 2
30
Project 3
30

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.

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.

Instruction Time

Federal and regional accreditation requirements stipulate that a 3-credit hour course must include 2250 minutes of direct instruction time, which is approximately 68 minutes per day. For this course, that direct instruction time includes"

In addition to the 2250 minutes of direct instruction time each week, students are expected to spend a minimum of 4500 additional minutes (approximately 136 minutes per day) completing reading and writing assignments:

More information about the Direct and Non-Direct categories is contained in the Direct and Non-Direct and Report Logs web pages. Please read these pages very carefully.

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 .

  • If you have a question about any of this, please ask.
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    Assignments

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    Additional Information

    Changes to this Syllabus:

    There will be changes to this syllabus, so check back frequently, and don't forget to hit "Reload" or "Refresh".

    Schedule of Assignments and Events (tentative)

    Start Date
    End Date
    Activity/Event
    June 24, 2019 July 26, 2019 Course in Progress
    June 24, 2019 June 24, 2019 Login in to the course on Canvas.
    June 24, 2019 July 5, 2019 Work on Project 1

    July 5, 2019

    Direct Activity Report 1 due


    July 8, 2019

    Project 1 due


    July 16, 2019

    Direct Activity Report 2 due

    Project 2 due


    July 26, 2019

    Direct Activity Report 3 due

    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.

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    Contact Information

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