Fall 2020 - CSE 353

Machine Learning

Grading Policy

Grading (Tentative)

The course provides a total of 500 points distributed across the following categories.

  • Assignments – Handson machine learning assignments (4 assignments, 5% each)= 20% (100 points)
  • Surprise quizzes (5 quizzes, 3% each) = 15% (75 points). The quizzes are intended to make sure students are keeping up with the material
  • Mid-term exams (2 exams, 7.5% each) = 15% (75 points).
  • Course Project = 50% (250 points). A group project guided by industry/academia mentors covering end-to-end ML project lifecycle
  • Extra Credit Research Paper = 5% (25 points). If you submit a paper to an academic conference towards the end of the course project, you will receive 5% extra credit

Your final grade is calculated by the total points you accumulate in the class.

Important note: Makeup examinations will only be given for extenuating circumstances (e.g. hospital admission) or for verified, officially sanctioned university activities. All makeup examinations may be oral.

Regrading

  • Should you discover what you think is an error in grading your work, you have exactly one week after the grades are made available to you to request a regrade - no exceptions.
  • To promote consistency of grading, questions and concerns about grading should be addressed first to the TA and then, if that does not resolve the issue, to the instructor.
  • You are welcome to contact the TA by email or come to their office hours. If you would like to speak with the TA in person and have a schedule conflict with their office hours, you are welcome to make an appointment to meet the TA at another time.
  • For the final exam, there will be a special office hour designated to resolve any grade queries or disputes. This will be announced after the final exam. The final exam papers will not be returned.