Special Studies: Computer Vision

Class Information

Lecture

M/W/F 12:50 PM - 1:40 PM

Location

303 Cushing Hall of Engineering

Slack

#cse-40535-sp25

Instructor

Instructor

Walter Scheirer (walter.scheirer@nd.edu)

Office Hours

M 2:00 PM - 4:00 PM, and by appointment

Office Location

182D Fitzpatrick Hall of Engineering

Graduate Teaching Assistant

Louisa Conwill (lconwill@nd.edu)

Office Hours

W 3:30 - 5:30 PM, and by appointment

Office Location

182 Fitzpatrick Hall of Engineering

Participation

In-person attendance in mandatory. Students are expected to attend and contribute regularly in class. This means answering questions in class, participating in discussions, and helping other students.

Foreseeable absences should be discussed with the instructor ahead of time.

Students with Disabilities

Any student who has a documented disability and is registered with Sara Bea Accessibility Services should speak with the professor as soon as possible regarding accommodations. Students who are not registered should contact Sara Bea Accessibility Services.

Academic Honesty

Any academic misconduct in this course is considered a serious offense, and the strongest possible academic penalties will be pursued for such behavior. Students may discuss high-level ideas with other students, but at the time of implementation (i.e., programming), each person must do his/her own work. Use of the Internet as a reference is allowed but directly copying code or other information is cheating. It is cheating to copy, to allow another person to copy, all or part of an exam or a assignment, or to fake program output. It is also a violation of the Undergraduate Academic Code of Honor to observe and then fail to report academic dishonesty. You are responsible for the security and integrity of your own work.

Policy on Generative AI

I am a big advocate of the responsible use of modern AI tools, including generative AI models that are in the headlines (this is a computer vision course, after all). I will create opportunities to use the output of these systems in assignments, and we will discuss their usefulness for solving computer vision problems in class. But you must not use generative AI to simply "do your work for you" (e.g., generate ready-to-submit homework answers, or code snippets). This is not what I would call "responsible use" and it is harmful to your long-term learning goals. The prose generated by ChatGPT is spelled and punctuated correctly and has proper grammar, but it frequently concocts false information, and supports its arguments with very shallow reasoning that relies on description rather than inference. Use it as a "brainstorming buddy" (ChatGPT's confabulations can be very inspirational as they may take you to ideas you have never thought about). Or use it to simply correct your grammar / language. But do not cheat (see the the Academic Honesty section of this page).

Late Work

In the case of a serious illness or other excused absence, as defined by university policies, coursework submissions will be accepted late by the same number of days as the excused absence. Otherwise, a late penalty, as determined by the instructor, will be assessed to any late submission of an assignment. In general, the late penality is -10 points off for each day after the assigned deadline. The instructor reserves the right to refuse any unexcused late work.

Classroom Recording

Notre Dame has implemented a classroom recording system. This system allows us to record and distribute lectures to you in a secure environment. You can watch these recordings on your computer, tablet, or smartphone. The recordings can be accessed via a request made to the instructor.

Because the instructor reserves the right to record in the classroom on select occasions, your questions and comments may be recorded. (Video recordings typically only capture the front of the classroom.) If you have any concerns about your voice or image being recorded, please speak to me to determine an alternative means of participating. No content will be shared with individuals outside of your course without your permission except for faculty and staff that need access for support or specific academic purposes.

These recordings are jointly copyrighted by the University of Notre Dame and your instructor. Posting them to other websites, including YouTube, Facebook, Vimeo, or elsewhere without express, written permission may result in disciplinary action and possible civil prosecution.