CSCE 4930 Big Data Science (Spring 2016)

Grading

  • 7% Reading responses (email me two great questions on each day's reading by noon the day before class)
  • 8% Class participation
  • 25% Assignments
  • 20% Midterm
  • 25% Final
  • 15% Area of Excellence (your grade for this will equal your best grade from Assignments, Project, or Final exam)

Honor Code

Please include and sign the following honor pledge on every assignment:

“On my honor, as a UNT student, I have neither given nor received unauthorized assistance on this work.”

Grade Adjustment Policy

If you believe an error has been made in grading an assignment, please write a succinct, but complete, explanation of why you feel the grade should be adjusted, and submit this along with (a copy of) the graded assignment. Keep in mind that your grade might be adjusted down, as well as up. If your goal is to come away with a better understanding of the concept in question, please do come meet with me.

Late Policy

Unless otherwise specified, work is due at the beginning of class on the due date.