College Assignment Policy
Students are not allowed to use advanced automated tools, including Artificial Intelligence (AI) or machine learning tools such as ChatGPT, on any assessments, including assignments, exams/quizzes, and projects in this course. Each student is expected to complete all assessments independently, without substantial assistance from others, including automated tools.
Assignment Submission
Instructor Inquiries: DO NOT contact the instructor regarding assignment extensions. Instead, follow the Late Assignment Submission. For other course-related questions or concerns, provide a clear and detailed description of your query in your email. Include relevant screenshots if applicable, and mention the course code along with the day you attend class in the subject line.
Submission Method: Submit assignments only through the approved format and method outlined in the course shell. Submissions via email or other unapproved channels will receive a grade of 0.
Deadlines: Follow the deadlines listed on the course calendar in the course shell. Extensions may only be approved by your TA if applicable.
Late Assignment Submission
Students are advised to plan for the possibility of the extension request being denied and aim to submit assignments on time.
Please do NOT email the instructor regarding assignment extensions. Follow the late submission policy outlined in this document.
This policy outlines the guidelines and penalties for assignment submissions, including late submission penalties, accommodations for students with special needs, and the process for requesting deadline extensions due to medical or reasonable issues.
General Late Submission Policy
Late submissions are subject to the following penalties, as outlined in the table below:
Late Submission Period | Penalty |
---|---|
Up to 24 hours after the deadline | 10% deduction from the total score |
Up to 48 hours after the deadline | 20% deduction from the total score |
Up to 72 hours after the deadline | 30% deduction from the total score |
More than 72 hours after the deadline | Grade of 0 will be assigned |
- Submissions through any method other than the designated course shell assignment folder will not be evaluated or graded.
Students With Accommodation Letters
Students with documented accommodation letters are eligible for an additional 72-hour extension for all individual assignments and projects. (For group assignments, there is no difference between students with accommodation letters and those without.). However:
- No further extensions or grace periods are allowed beyond the extended deadline.
- Submissions made after this extended deadline will receive a grade of 0.
Deadline Extensions for Medical or Reasonable Issues
In cases where medical or reasonable issues prevent meeting a deadline, students must follow these procedures:
- Submit relevant documentation (e.g., medical certificates or other supporting documents) to the instructor or department
- The instructor or department will review the documentation and decide whether to grant an extension
- Extensions will not be granted at the time of the request but will be considered during the grading process.
- Submit the relevant documentation in addition to your assignment documents in the assignment dropbox (emails will not be reviewed)
- Approval of extension requests is at the sole discretion of the instructor or department.
- Providing documentation does not guarantee approval.
- Students are advised to plan for the possibility of the extension request being denied and aim to submit assignments on time.
Deadline Extension Announcements
Extensions to deadlines will only occur if formally announced on the course announcements platform. Students should monitor these announcements regularly for updates.
Conclusion
All students are required to follow the submission deadlines and adhere to the late submission penalties outlined in this policy. Students with accommodations or legitimate medical/reasonable issues must follow the procedures detailed above and provide the required documentation. Extension decisions will be made objectively to ensure fairness and consistency.