6.8300/6.8301: Advances in Computer Vision

Spring 2023

Archived. See the new course webpage for most recent information.

[Home | Policy | Schedule | Course Materials | Final Project | Piazza | Canvas ]

Course Overview

This course covers fundamental and advanced domains in computer vision, covering topics from early vision to mid- and high-level vision, including basics of machine learning and convolutional neural networks for vision.


Feb 2, 2023: Welcome to 6.8300/6.8301!

Make sure to check out the course info below, as well as the schedule for updates. The course units are 3-0-9 for 6.8300 (Graduate Level, TQE Subject: Group 3 - Artifical Intelligence) and 4-0-11 for 6.8301 (Undergraduate Level, CI-M Subject). The prerequisites of this course are (6.1200 or 6.3700) and (18.06 or 18.C06). Good luck with your semester!

Course Information

Course Instructors

CI-M Instructors

Atissa Banuazizi

Amy Carleton

Sarah Bates

Megan McNamara
Chris Casatelli

Thalia Rubio

Teaching Assistants

Please use the course Piazza page for all communication with the teaching staff.

Hallee Wong

Camilo Fosco

Victor Rong

Maggie Wang

David Mayo

Ola Zytek

Demircan Tas
Xiyu Zhai
Branden Romero
Sai Bangaru
David Forman
Jamie Koerner

Time and Classroom

01:00 pm - 2:30 pm every Tuesday and Thursday in 26-100.

Office Hours (All times in ET)

Please direct all problem set questions to TAs rather than instructors!


Bill: Thursdays at 05:00 pm - 06:00 pm on Zoom (see Canvas for Zoom link)
Vincent: Wednesdays at 05:00 pm - 06:00 pm in 32-340
Mina: Wednesdays at 10:00 am - 11:00 am in 32-344


11:00 am - 12:00 pm, 2nd-Floor Lobby (Stata), with Branden
01:00 pm - 02:00 pm, 24-319, with Victor
03:00 pm - 04:00 pm, 34-303, with David M. [Canceled]
05:00 pm - 06:00 pm, 34-304, with Sai [Canceled]
11:00 am - 12:00 pm, on Zoom (see Canvas for Zoom link), with Ola
02:00 pm - 03:00 pm, 2nd-Floor Lobby (Stata), with Xiyu
11:00 am - 12:00 pm, G9 Lobby (Stata), with Hallee
12:00 pm - 01:00 pm, 24-323, with David F.
02:00 pm - 03:00 pm, 24-321, with Demircan
04:00 pm - 05:00 pm, 3-149, with Maggie
05:00 pm - 06:00 pm, on Zoom (see Canvas for Zoom link), with Camilo

Grading Policy

Psets: 60%
Note: All psets are weighted equally.
Final project: 40%
Note: For 6.8301 students, a quarter of the final project grade (i.e., 10% of the course grade) will be based on participation in communication recitations (attendance is mandatory) and specific CI-M related tasks (relating mostly to the project proposal) as part of the CI-M requirement for the course. Failure to complete the CI-M component will result in a failing grade for 6.8301 students.