COS 302 - Mathematics for Numerical Computing and Machine Learning	Fall 2020

News: Dec 14  Thanks for a great semester, everyone! Have a great break!

Course Description

This course provides a comprehensive and practical background for students interested in continuous mathematics for computer science. The goal is to prepare students for higher-level subjects in artificial intelligence, machine learning, computer vision, natural language processing, graphics, and other topics that require numerical computation. The course focuses on tying together the underlying mathematical principles, numerical algorithms, and how they are used to solve problems computationally. Assignments consist of both conceptual problems and coding portions completed in Python.

Meeting time/place

Class:	MW	12:30-1:20 PM	— Click here to join Zoom meeting. (You will need to authenticate with Princeton CAS.)
Precept 1:	Th	9:00-9:50 AM	— Click here to join Zoom meeting. (Preceptor: Fangyin Wei)
Precept 2:	Th	10:00-10:50 AM	— Click here to join Zoom meeting. (Preceptor: Jad Rahme)
Precept 3:	F	12:30-1:20 PM	— Click hereto join Zoom meeting. (Preceptor: Joshua Aduol)
Precept 4:	F	12:30-1:20 PM	— Click here to join Zoom meeting. (Preceptor: Yaniv Ovadia)
Precept 5:	F	1:30-2:20 PM	— Click here to join Zoom meeting. (Preceptor: Xingyuan Sun)

Discussion We will be using Ed Discussion for Q&A this semester. You may sign up via this link, and then access the discussion board here.

Textbook Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.

Instructor Szymon Rusinkiewicz smr at princeton Office hours: Make an appointment	TA Joshua Aduol jaduol at princeton Office hours: Friday 4-5pm	TA Yaniv Ovadia yovadia at princeton Office hours: Tuesday 12-1pm
TA Jad Rahme jad.rahme at princeton Office hours: Thursday 11am - 12pm	TA Xingyuan Sun xs5 at princeton Office hours: Friday 2:30-3:30pm	TA Fangyin Wei fwei at princeton Office hours: Thursday 8-9pm