Grading Principles and Guidelines
👨💻 Coursework:
- Homework Assignments (60%): Three homework assignments will be given, each requiring submission of a well-documented pdf.
- Final Project (40%): A final project that requires students to do literature review and implement a machine learning model to a real-world problem.
📝 Academic Honesty: Our course places very high importance on honesty in coursework submitted by students, and adopts a policy of zero tolerance on academic dishonesty.
📢 Late Submission: Homework and submissions are submitted via BlackBoard. We will penalize 10% credit per 12 hours for late submissions (up to a maximum of 50% penalization).