DSGA 1002: Statistical and Mathematical MethodsInstructor: Carlos FernandezGranda (cfgranda@cims.nyu.edu) Teaching assistants:
This course introduces fundamental concepts in probability and statistics from a datascience perspective. The aim is to become familiarized with probabilistic models and statistical methods that are widely used in data analysis. Announcements
FinalThe final will be open notes and books. You may use a computer or a tablet, but only to access your notes, any other use will be considered cheating. The time and location are Tuesday December 13 from 5pm to 7pm in Warren Weaver Hall room 109 for both sections Syllabus
PrerequisitesCalculus and linear algebra at the undergraduate level. The first recitation will cover some of the necessary material. General InformationLecture
Recitation
Office hours
Grading policyHomework (40%) + Midterm (20%) + Final (40%) HomeworkHomework will be posted on Wednesday and is due a week later on Friday at 11 pm. We will not take into account the assignment with the worst grade. The homework assignments should be submitted as a pdf through NYU classes. The solutions and the grades will be available also on NYU classes. Feel free to collaborate and discuss in person or on Piazza, but do not share specific answers and make sure that you write your assignment yourself. Always explain your thought process and if you use results from the notes or a book reference them adequately. PiazzaWe will be using Piazza to answer questions and post announcements about the course. Please sign up here. BooksWe will provide selfcontained notes and no other texts are required. However, here are some additional references that could be useful:
