ECE 543: Coursework

Your final grade in ECE 543 will be determined according to the following revised point weighting formula:

Written problem sets:

Final project:

Format and submission instructions.

All homework must be typeset using LaTeX (if you do not know LaTeX yet, now is as good a time as any to learn it -- you will need it in grad school anyway) and compiled into a pdf file. The files will be submitted through Compass 2g. Upload instructions:

  1. Log into and go to Spring 2018 - ECE 543 Statistical Learning Theory - Section C.
  2. Select Course Content from the left column.
  3. Select Homework X (where X is the number of the current assignment) from the list, and follow the instructions.
  4. Upload your pdf file as an attachment.
  5. Hit Submit.
Multiple attempts will be allowed, but only your last submission before the deadline will be graded. We reserve the right to take off points for not following directions.

Course policies:

Late policy: No late submissions will be accepted. If you have a compelling reason for not being able to submit the assignment on time and would like to make a special arrangement, you must send me email at least a week before the due date (any genuine emergency situations will be handled on an individual basis).

Academic integrity: Feel free to discuss the assignment with each other in general terms, and to search the Web for general guidance (not for complete solutions). All solutions should be written up individually. If you make substantial use of some information from outside sources, be sure to acknowledge the sources in your solution. At the first instance of cheating (copying from other students or unacknowledged sources on the Web), a grade of zero will be given for the assignment. At the second instance, you will automatically receive an F for the entire course.