Department
Artificial Intelligence & Machine Learning
Students Grievances
In our department, we are committed to ensuring a fair and transparent process for addressing student grievances related to academic matters. If you encounter issues such as grading disputes, unfair treatment, or academic misconduct, we encourage you to first discuss your concerns informally with the faculty member involved. Should this not resolve the issue, you can formally submit a grievance to the Department Chair or designated Academic Coordinator. The formal process involves detailing your concern in writing, providing relevant evidence, and specifying the resolution you seek. The department will review and investigate the grievance in a timely manner, ensuring confidentiality throughout the process. If you are unsatisfied with the outcome, you have the right to appeal the decision. For additional support, academic advising and counseling services are available to assist you during this process. For further information and contact details, please refer to our department’s grievance policy.
Student grievances can encompass a wide range of issues, often reflecting dissatisfaction or concerns related to various aspects of their academic experience. Here are some common types of student grievances:
- Grading Disputes
- Issue: Disagreement with the grades received on assignments, exams, or overall course performance.
- Examples: Incorrect grading, perceived unfairness in grading criteria, or discrepancies between feedback and grades.
- Unfair Treatment
- Issue: Perceived bias or unfair treatment by faculty or staff.
- Examples: Discrimination based on race, gender, or ethnicity; favoritism; or unequal treatment in classroom interactions or assessments.
- Campus Facilities and Resources
- Issue: Problems with campus resources or facilities.
- Examples: Poor maintenance of classrooms, libraries, or laboratories; lack of necessary resources or equipment; or inadequate study spaces.