Prerequisites​

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

Logistical Overview​

Lecture​

• 3.30pm-4.45pm on Tuesdays and Thursdays at 60FA C15.
• Lectures will be held twice a week in person.
• The google calendar may be accessed here.
• The class will not be recorded.

Course Staff & Office Hours​

• Instructor: Lerrel Pinto

  • Office Hours: Tue 5:00-6:00pm, @ 60 Fifth Ave, 505

• Teaching Assistants: Aadhithya Iyer & Venkatesh Pattabiraman

  • Office Hours: Friday 2:00-3:00pm, @ 60 Fifth Ave, 540

Grading​

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

Assignments​

• Assignments will use Python 3 and RaspberryPI 4. We will provide you a virtual environment to install dependencies.

Remarks​

• A student in this course is expected to act professionally. Please also follow the GSAS regulations on academic integrity found here: http://gsas.nyu.edu/page/academic.integrity
• 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.