🐻 Cornell CS unofficial reading list (Spring 2026)
← Fall 2025
This is an unofficial list of books that are recommended in Spring 2026 computer science classes at Cornell
I’ve read sections of many of these, but the books marked with a bold ✨ are ones I’ve found interesting enough to read at length
| Masters level | |
|---|---|
| Machine Learning Hardware & Systems CS 5775 |
• Efficient Processing of Deep Neural Networks by Sze, Chen, Yang & Emer ◦ Computer Architecture: A Quantitative Approach by Hennessy, Patterson & Kozyrakis See website for paper list |
| Cornell Engineering requirements | |
|---|---|
| Calculus for Engineers MATH 1910 |
• Calculus by Rogawski, Adams & Franzosa |
| Multivariable Calculus for Engineers MATH 1920 |
• Calculus by Rogawski, Adams & Franzosa |
| Linear Algebra for Engineers MATH 2940 |
• Linear Algebra and Its Applications by Lay, Lay & McDonald |