🐻 My Cornell reads, fall 2026
I use this page to track books and papers I’ve read that are used in Fall 2026 Cornell classes
I compiled this from publicly available information from the online bookstore, library reserves, and course webpages
Arts & Sciences
I’ve read the following:
Classics & Comics CLASS 1812
- Motel of the Mysteries by David Macaulay (my highlights)
- Age of Bronze, v.1: A Thousand Ships by Eric Shanower
Writing Across Cultures: Modern Fantasy Media ENGL 1111-104
- The Hobbit, or There & Back Again by J.R.R. Tolkien (my highlights)
- Frankenstein; or, The Modern Prometheus by Mary Shelley
Writing the Environment: Enchanting Nature ENGL 1130-101
- A Midsummer Night’s Dream by William Shakespeare
True Stories ENGL 1134
- They Called Us Enemy by George Takei
American Voices: Lost in the City: The Great Migration & Imagining the Urban Space through Black Art ENGL 1158-102
- The Fire Next Time by James Baldwin (my highlights)
Short Stories ENGL 1170-105
- The Fire Next Time by James Baldwin (my highlights)
Making Sense of World Politics GOVT 1817
- The Cold War: A Very Short Intro. by Robert J. McMahon
U.S. History through Literature HIST / AMST 1770
- Hiroshima by John Hersey
- The Fire Next Time by James Baldwin (my highlights)
Writing Italy, Writing the Self: Jewish-Italian Lit and the Long 20th Century ITAL 1113
- Just a Girl: A True Story of World War II by Lia Levi (my highlights)
Pinocchio: Adventures in Literature & Film ITAL 3750
- Frankenstein; or, The Modern Prometheus by Mary Shelley
- The Adventures of Pinocchio by Carlo Collodi (my highlights)
Language, Thought & Reality: Words & Pictures LING 1100-001
- Maus: A Survivor’s Tale by Art Spiegelman
Queer Archives & Archiving Queerness PMA / AMST / FGSS / LGBT / SHUM 4695/6695
- Fun Home: A Family Tragicomic by Alison Bechdel
Computing & Information Science
I’ve read the following:
Intro. to Computing: A Design & Development Perspective CS 1110
- How to Use the Terminal Command Line in macOS by Igor Degtiarenko
- How to Write Doc Comments for the Javadoc Tool
- PEP 257: Docstring Conventions by Goodger & van Rossum
Short Course in Python CS 1133
- Think Python: How to Think Like a Computer Scientist by Allen B. Downey
Object-Oriented Programming & Data Structures CS / ENGRD 2110
- Object-Oriented Design & Data Structures by Myers & Kozen
- Principled Programming: Intro. to Coding in Any Imperative Language by Tim Teitelbaum
Object-Oriented Design & Data Structures - Honors CS 2112
- Object-Oriented Design & Data Structures by Myers & Kozen
- Design Patterns: Elements of Reusable Object-Oriented Software by Gamma et al.
- Effective Java: Best Practices for the Java Platform by Joshua Bloch
Intro. to Machine Learning CS 3780/5780
- Mathematics for Machine Learning by Deisenroth et al.
Systems Programming CS 4414/5416
- How to Learn Rust in 2026: A Complete Beginner’s Guide to Mastering Rust Programming by Vitaly Bragilevsky
- Always Measure 1 Level Deeper by John Ousterhout
Systems for Large-Scale ML CS 5470
- Attention Is All You Need by Vaswani et al.
- The Illustrated Transformer by Jay Alammar
- Reducing Activation Recomputation in Large Transformer Models by Korthikanti et al.
Category Theory for Computer Scientists CS 6117
- Practical Foundations for Programming Languages by Robert Harper
Engineering
I’ve read the following:
AI Hardware ECE 4950-002/6950
- The Perceptron & All the Things It Can’t Perceive by Jeremy Kun
- Domain-Specific Hardware Accelerators by Dally et al.
- There’s Plenty of Room at the Top: What will Drive Computer Performance after Moore’s Law? by Leiserson et al.
- Roofline: An Insightful Visual Performance Model for Multicore Architectures by Williams et al.
- A Domain-Specific Supercomputer for Training Deep Neural Networks by Jouppi et al.
Law
I’ve read the following:
The Law of Software LAW 7688
- Cyberspace & the Law of the Horse by Frank H. Easterbrook
- Alice Corp. v. CLS Bank International
- Some Misconceptions about Software in the Copyright Literature by Bloch & Samuelson