Final Exam Date and Location
The final exam will be on December 12th, at 9:00 AM, in MacMillan Hall 115.Hours Change for Wed, Nov. 11:
Sam will not be holding hours on Wednesday, Nov. 11 (tomorrow), but Eshan will be holding hours from 9:00 PM until 10:00 PM.No Take-Home Midterm
There will be no take-home midterm. There will, however, be a homework (as normal).Matrix and Vector Multiplication Cheat Sheet:
Here is a cheat sheet with all the matrix and vector multiplication definitions. They're very good to know!Midterm:
The in-class midterm will be held on October 29th. You are allowed to prepare one single-sided sheet of linear algebra to use while taking the midterm.Makeup Lab:
There will be a makeup lab on Wednesday, September 30 for students who cannot make it to the Sunday or Monday labs this week.Course Missive:
Here is the CS053 course missive.
Useful/Interesting Links
Lights OutA comic about Fourier transforms!
What is the matrix?
The matrix is the world that has been pulled over over your eyes to blind your from the truth: that vectors are in fact functions and that a matrix is a linear function.
The aim of this course is to provide students interested in computer science an introduction to vectors and matrices and their use in modeling and data analysis. The course will be driven by applications from areas chosen from among: combinatorial optimization, computer vision, cryptography, game theory, graphics, information retrieval and web search, maching learning, and scientific visualization. For example, students will learn Google's PageRank method for ranking web pages. This course satisfies the linear algebra requirement for the Computer Science Sc.B.
There are no formal prerequisites, but students are expected to be comfortable with mathematics. First-year students are welcome.
Instructor: Phil Klein
Grad TA: Shay Mozes
Head TA: Sam Tarakajian
UTAs: Eshan Mitra, Nathan Partlan
Meeting time: J Hour (T.,Th. 1:00-2:20 PM) at Watson (CIT) Center 227