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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 class will not be recorded.

Course Staff & Office Hours​

  • Instructor: Lerrel Pinto
    • Office Hours: Tues 5-6pm @ 60 Fifth Ave, Room 505
  • Teaching Assistant: Ulyana Piterbarg
    • Office Hours: Thurs 1-2pm @ 60 Fifth Ave, Room 540

Grading​

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

Assignments​

  • Weekly assignments will be comprised of a mix of hand-written math and programming in Python, via Google Colab notebook. Students are strongly encouraged to write their solutions to the math portion in LaTeX using the course template.
  • Submissions must be made through Gradescope by 11:59 PM on the day of the deadline. Please be aware that late submissions will not be accepted.

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.