Prerequisites​

• Linear algebra, basics of probability, solving basic differential equations.
• Coding in Python and familiarity with Linux.

Logistical Overview​

Lecture​

• 3:30pm - 4:45pm, Tuesdays and Thursdays.
• The first couple of lectures will be on Zoom so that everyone can participate (including those on the waitlist).
• Lectures are in person at 60 Fifth Avenue (Center for Data Science), Room C15. To get there, enter the building and go down the stairs to your right.
• Class calendar: Google Calendar.

Course Staff & Office Hours​

• Instructor: Lerrel Pinto
  • Instructor office hours are available upon request.
• Teaching Assistants: Jeff Cui, Mohit Warke
  • Office Hours: Friday 1:00 - 2:00pm, @ 60 Fifth Avenue, 502

Grading​

1. Homeworks and projects (90%)
2. Discussions, both in class and in Campuswire (10%)

Assignments​

• See Assignments page for details.
• There will be problem sets with theory and coding portions, and team projects on a rover robot.
• We will use Python for all assignments. For the robot assignments, you will be running your code on a Raspberry Pi 4B onboard the rover.

Remarks​

• A student in this course is expected to act professionally. Please also follow the NYU regulations on academic integrity found here: https://cas.nyu.edu/academic-integrity.html
• Academic accommodations are available for students with disabilities. Please contact the Moses Center for Students with Disabilities (212-998-4980 or mosescsd@nyu.edu) for further information. Students who are requesting academic accommodations are advised to reach out to the Moses Center as early as possible in the semester for assistance.