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 Mondays and Wednesdays at 60FA C15.
• Lectures will be held twice a week in person.
• The google calendar may be accessed here. (Access w/ NYU email.)
• The class will be recorded, we will post the link to the recorded lectures to the class campuswire.

Course Staff & Office Hours​

• Instructor: Lerrel Pinto
• Office Hours: Wed 5-6pm
• Teaching Assistants: Ben Evans & Sneha Silwal
• Office Hours: Mon 5:00-6:00, Thurs 3:00-4:30pm
• Office Hours Location: 60 Fifth Ave, Room 540 AND Google Meet (see calendar)

Grading​

1. Homeworks (45%)
2. Final Project (45%)
3. Discussions, both in class and in campuswire (10%)

Assignments​

• Assignments will use Python 3; we will provide you a virtual environment to install all dependencies.
• We strongly recommended using Python for the project as well.

Final Project​

• Project proposals (1 page) will be due a week before midterms.
• Maximum (and recommended) team size is 4.
• Final presentations of all projects will take place a week before finals.

Remarks​

• NYU accessible website is available here.
• 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.